diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..644c5644ecb3cc57502a38094a2dd0ada61f719d --- /dev/null +++ b/README.md @@ -0,0 +1,67 @@ +--- +license: mit +pretty_name: "llm-weight-compression evidence" +language: + - en +tags: + - quantization + - gptq + - post-training-quantization + - pre-registered + - evaluation +size_categories: + - n<1K +--- + +# llm-weight-compression: evidence + +Per-window evaluation data and raw diagnostics behind every number in +[rosecky/llm-weight-compression-public](https://github.com/rosecky/llm-weight-compression-public): +a pre-registered study of refining GPTQ's integer codes against the output of the enclosing +attention/MLP module instead of the single layer, on Qwen2.5-0.5B, Qwen3-0.6B, +Llama-3.2-1B and Qwen2.5-1.5B at exactly 3.25 bits per weight, plus rate–distortion, +estimation-budget and 2-bit vector-quantized points on Qwen2.5-0.5B. + +## Layout + +``` +validation/ frozen-protocol runs: one .jsonl per (model, calibration draw) with + per-window mean NLL for every arm on the full wikitext-2 test (146 windows + of 2048 tokens) and 512 fixed C4 validation windows, plus a summary row per + arm (bpw, KL to fp16, objective ratios, flips, timings, peak VRAM); the + matching .log is the run's stdout +diagnostics/ exploratory-phase runs (objective ladder, superadditivity, VQ factorial), + probe-budget rescoring, rotation landscape, rate-allocation oracle, oracle + prediction features +box_scripts/ the exact shell scripts run on the rented GPU instance +README.md file-by-file map and the pre-registration commit for each stage +``` + +Each `validation/*.jsonl` row is either `{"arm", "eval": "wt2"|"c4", "nlls": [...], +"nll": mean}` or a per-arm summary with `bpw`, `nll_wt2`, `nll_c4`, `kl_fp16`, `obj_ratio`, +`obj_fresh`, `flips`, `opt_s`, `peak_vram_mib`. Windows are in corpus order, so any two +arms of the same file are paired window by window. + +## Regenerate the tables + +``` +git clone https://github.com/rosecky/llm-weight-compression-public +python scripts/analyze_valid.py --print # four-model table, paired bootstraps within draw +python scripts/analyze_rd.py # rate–distortion, equivalent bits +python scripts/analyze_d3.py # halves, calibration domain, estimation budgets +``` + +with the analysis scripts pointed at this dataset's `validation/` directory. No GPU is +needed. + +## Provenance + +Method and protocol were frozen and committed before any validation run +(`docs/FROZEN_PROTOCOL.md` in the repository); diagnostic addenda were pre-registered with +interpretation tables before running. The 2-bit checkpoints evaluated in +`validation/p4_*` and `validation/d4_*` were produced by a per-block VQ quantiser from the +embedding-quantization project (d=4, K=256, ~2.1 bpw, input-side rotation) that is not part +of this release; the dequantised evaluations are. + +Author: Jan Rosecký, September 2026. Experiments run with Claude (Anthropic) as an +autonomous research agent under the author's direction. License: MIT. diff --git a/evidence/README.md b/evidence/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c060c64ea64163555544521ed87d46553bd8c19d --- /dev/null +++ b/evidence/README.md @@ -0,0 +1,71 @@ +# Evidence + +The raw measurements behind every claim in `docs/PITCH.md`, `docs/BRIEFING.md` and +`docs/FINDINGS.md`. `results/raw/` is scratch and git-ignored; this directory is the +committed record, because most of it was produced on a rented GPU instance that no longer +exists. + +Regenerate the tables with `python scripts/analyze_valid.py --print` (point `RAW` at +`evidence/validation`), `python scripts/analyze_rd.py` for the rate–distortion curve, `python scripts/analyze_d3.py` +for addendum D3, and +`python scripts/analyze_*.py` for the rest. + +## validation/ + +Frozen-protocol runs (method and hyperparameters committed at `b57c9ac` before any of these +ran; see `docs/FROZEN_PROTOCOL.md`). These back the four-model headline table. + +| file | model | draws | arms | +|---|---|---|---| +| `valid_qwen05_s{0,1,2}` | Qwen2.5-0.5B | 3 | fp16, gptq, layer, module, block | +| `valid_qwen3_06b_s{0,1}` | Qwen3-0.6B | 2 | fp16, gptq, module | +| `p3_llama1b`, `p3_llama1b_s{1,2}` | Llama-3.2-1B | 3 | fp16, gptq, (layer), module | +| `valid_qwen15_s{0,1}`, `valid_qwen15_s1b` | Qwen2.5-1.5B | 2 | fp16, gptq, layer, module, block | +| `rd_q05_b2g64`, `rd_q05_b3g64`, `rd_q05_b4g128` | Qwen2.5-0.5B, draw 0, at 2.50 / 3.50 / 4.25 bpw | 1 | fp16, gptq, module | +| `p6_llama3b_s0` | Llama-3.2-3B | 1 | fp16, gptq only (module arm lost, see below) | +| `d3a_qwen05_halves_s0` | Qwen2.5-0.5B, draw 0 | 1 | fp16, module_attn, module_mlp (D3a interaction; local RTX 4050) | +| `d3c_qwen05_c4calib_s0` | Qwen2.5-0.5B, draw 0, **C4-train calibration** | 1 | fp16, gptq, module (D3c) | +| `d3b_qwen05_model_{p2_t2k,p8_t2k,p2_t8k}_s0` | Qwen2.5-0.5B, draw 0 | 1 each | fp16, `model` (full-model Fisher) at 2 probes/2k tokens, 8 probes/2k, 2 probes/8k (D3b) | +| `d3bx_qwen05_attn_t8k_s0` | Qwen2.5-0.5B, draw 0 | 1 | fp16, `module_attn` at 2 probes/8k tokens (D3b-ext; compare `d3a_*` at 2k) | +| `d3bx2_qwen05_module_t8k_s0` | Qwen2.5-0.5B, draw 0 | 1 | fp16, `module` at 2 probes/8k tokens (D3b-ext2; compare `valid_qwen05_s0` module at 2k — worse) | +| `p4_qwen05_vq20_{plain,refine}` | Qwen2.5-0.5B, draw 0, **peer's per-block VQ at 2.12 bpw** | 1 each | fp16 + the external checkpoint evaluated as-is (`scripts/eval_external.py`); `refine` = same quantisation + our sequential post-pass (6+6, 8k metric tokens) inside the peer's loop (P4) | +| `d4_qwen05_vq20_prefix` | same two checkpoints | 1 | both evaluated with a fixed " + +" prefix on every window (`scripts/eval_prefix.py`, addendum D4): the first-token tail disappears, refine − plain −0.030 on both sets | + +Each `.jsonl` holds one record per (arm, eval set) with **per-window NLLs**, so the paired +bootstrap is reproducible offline without re-running anything. `valid_qwen15_s1` is the run +that died in a shared-GPU OOM; `valid_qwen15_s1b` is its completed replacement. + +The `rd_*` files are the rate–distortion sweep (P6): the frozen method at three more exact +rates, evaluated with the same driver (`--bits`/`--group` overrides only). Together with +`valid_qwen05_s0` (3.25 bpw) they give the four-point curve; +`python scripts/analyze_rd.py` bootstraps each point. `p6_llama3b_s0` holds the fp16 and +GPTQ references for Llama-3.2-3B; its module arm was at layer 8/27 after 2.2 h when the +instance was shut down (`monitor_rd_and_llama3b.log`, `p6_llama3b_s0.log`), so nothing +above 1.5B is tested. All of these were recovered from the instance disk after a brief +power-on; `E47` in `EXPERIMENT_LOG.md` records the near-loss. + +## diagnostics/ + +Measurements behind the mechanism claims and the negative results: + +- `probe_05b`, `probe_15b`, `noise_probe`, `sweep.log` — rescoring the same weight change + under 4×–16× better-estimated metrics. Shows the "improvement" on the widest matrices is + illusory **on the model where the method works** as well as where it fails. +- `d2_*` — the block-diagonal / pre-o_proj endpoint variants that failed on both models. +- `attn_decomp` — the intra-attention objective ladder and the sensitivity correlations. +- `joint_ppl` — the exploratory-phase end-to-end runs (radius curve, superadditivity, + half-depth split, VQ factorial). Lighter 24-window protocol; not comparable to + `validation/`. +- `rate_alloc` — the rate-allocation oracle that killed that branch (≤0.11 equivalent bpw). +- `transform_plateau` — tangent, basin, DFO and 200-rotation sweep of the rotation landscape. +- `gptq_scalefeed` — the scale-source ablation (frozen vs working-weight scales). +- `oracle_pred` — per-row features vs the CD→exact-search gap, 1440 rows. +- `calib_size`, `comp_capacity`, `joint_oracle_k` — calibration budget sweep, compensation + capacity ladder, and the k-move reconciliation with CDQuant. + +## box_scripts/ + +The exact shell scripts run on the rented instance, kept so the provenance of each result +file is auditable. diff --git a/evidence/box_scripts/lwc_d2.sh b/evidence/box_scripts/lwc_d2.sh new file mode 100644 index 0000000000000000000000000000000000000000..389d4d2320dd82effb2baf646ab7bce7c1bb6a62 --- /dev/null +++ b/evidence/box_scripts/lwc_d2.sh @@ -0,0 +1,16 @@ +#!/bin/bash +cd /root/lwc/repo_new || exit 1 +export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True +export OMP_NUM_THREADS=16 +export PYTHONPATH=src +P=/venv/main/bin/python +R=/root/lwc/results +$P -u -m lwc.experiments.valid_eval --model Qwen/Qwen2.5-1.5B --calib-seed 0 \ + --fresh-g-seq 16 --arms module_bd --out $R/d2_qwen15_bd.jsonl > $R/d2_qwen15_bd.log 2>&1 +touch $R/D2A_DONE +$P -u -m lwc.experiments.valid_eval --model Qwen/Qwen2.5-0.5B --calib-seed 0 \ + --fresh-g-seq 16 --arms module_bd --out $R/d2_qwen05_bd.jsonl > $R/d2_qwen05_bd.log 2>&1 +touch $R/D2B_DONE +$P -u -m lwc.experiments.valid_eval --model Qwen/Qwen2.5-1.5B --calib-seed 0 \ + --fresh-g-seq 16 --arms module_pre --out $R/d2_qwen15_pre.jsonl > $R/d2_qwen15_pre.log 2>&1 +touch $R/D2_DONE diff --git a/evidence/box_scripts/lwc_d3.sh b/evidence/box_scripts/lwc_d3.sh new file mode 100644 index 0000000000000000000000000000000000000000..9ba85c9f2fb2aa2aa05dc7e8282af61e91382021 --- /dev/null +++ b/evidence/box_scripts/lwc_d3.sh @@ -0,0 +1,15 @@ +#!/bin/bash +# D3: maximum-power test of the estimation hypothesis -- BOTH fixes at once. +# Attention side: exact per-head structure (cheap, already shown to be exact). +# MLP side: 8x probe budget, the only lever available where no exact structure exists. +while [ ! -f /root/lwc/results/D2B_DONE ]; do sleep 120; done +cd /root/lwc/repo_new || exit 1 +export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True +export OMP_NUM_THREADS=16 +export PYTHONPATH=src +P=/venv/main/bin/python +R=/root/lwc/results +$P -u -m lwc.experiments.valid_eval --model Qwen/Qwen2.5-1.5B --calib-seed 0 \ + --fresh-g-seq 16 --arms module_bd --g-tokens 16384 --n-probe 4 \ + --out $R/d3_qwen15_bd_hi.jsonl > $R/d3_qwen15_bd_hi.log 2>&1 +touch $R/D3_DONE diff --git a/evidence/box_scripts/lwc_final.sh b/evidence/box_scripts/lwc_final.sh new file mode 100644 index 0000000000000000000000000000000000000000..f9441c9812b7a4e9623d4ed3ad110d0ad2d15d32 --- /dev/null +++ b/evidence/box_scripts/lwc_final.sh @@ -0,0 +1,21 @@ +#!/bin/bash +# Overnight: (1) rate-distortion curve on the best-case model, to convert our effect into +# equivalent bits saved -- the only commercially meaningful unit; (2) Llama-3.2-3B, the +# largest model we will have tested and the only one above the failure point on a family +# that works. +cd /root/lwc/repo_rd || exit 1 +export PYTHONPATH=src OMP_NUM_THREADS=16 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True +P=/venv/main/bin/python +R=/root/lwc/results +# (1) R-D curve: 2.50, 3.50, 4.25 bpw (3.25 already measured), Qwen2.5-0.5B +$P -u -m lwc.experiments.valid_eval --model Qwen/Qwen2.5-0.5B --bits 2 --group 64 \ + --arms gptq,module --out $R/rd_q05_b2g64.jsonl > $R/rd_q05_b2g64.log 2>&1 +$P -u -m lwc.experiments.valid_eval --model Qwen/Qwen2.5-0.5B --bits 3 --group 64 \ + --arms gptq,module --out $R/rd_q05_b3g64.jsonl > $R/rd_q05_b3g64.log 2>&1 +$P -u -m lwc.experiments.valid_eval --model Qwen/Qwen2.5-0.5B --bits 4 --group 128 \ + --arms gptq,module --out $R/rd_q05_b4g128.jsonl > $R/rd_q05_b4g128.log 2>&1 +touch $R/RD_DONE +# (2) the scaling point +$P -u -m lwc.experiments.valid_eval --model unsloth/Llama-3.2-3B --calib-seed 0 \ + --arms gptq,module --out $R/p6_llama3b_s0.jsonl > $R/p6_llama3b_s0.log 2>&1 +touch $R/P6_DONE diff --git a/evidence/box_scripts/lwc_p3.sh b/evidence/box_scripts/lwc_p3.sh new file mode 100644 index 0000000000000000000000000000000000000000..e8306e038f8d29bb314a3ad568b12e4dcc26c099 --- /dev/null +++ b/evidence/box_scripts/lwc_p3.sh @@ -0,0 +1,8 @@ +#!/bin/bash +cd /root/lwc/repo_new || exit 1 +export PYTHONPATH=src OMP_NUM_THREADS=16 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True +P=/venv/main/bin/python +R=/root/lwc/results +$P -u -m lwc.experiments.valid_eval --model unsloth/Llama-3.2-1B --calib-seed 0 \ + --fresh-g-seq 16 --arms gptq,layer,module --out $R/p3_llama1b.jsonl > $R/p3_llama1b.log 2>&1 +touch $R/P3_DONE diff --git a/evidence/box_scripts/lwc_p3b.sh b/evidence/box_scripts/lwc_p3b.sh new file mode 100644 index 0000000000000000000000000000000000000000..3935af15f12b40840bcc9f930bd4b139a2cc6d6e --- /dev/null +++ b/evidence/box_scripts/lwc_p3b.sh @@ -0,0 +1,10 @@ +#!/bin/bash +cd /root/lwc/repo_new || exit 1 +export PYTHONPATH=src OMP_NUM_THREADS=16 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True +P=/venv/main/bin/python +R=/root/lwc/results +for s in 1 2; do + $P -u -m lwc.experiments.valid_eval --model unsloth/Llama-3.2-1B --calib-seed $s \ + --fresh-g-seq 16 --arms gptq,module --out $R/p3_llama1b_s$s.jsonl > $R/p3_llama1b_s$s.log 2>&1 || break +done +touch $R/P3B_DONE diff --git a/evidence/box_scripts/lwc_p4.sh b/evidence/box_scripts/lwc_p4.sh new file mode 100644 index 0000000000000000000000000000000000000000..06c7ccede7305f5baccf31af4d375489539f0a01 --- /dev/null +++ b/evidence/box_scripts/lwc_p4.sh @@ -0,0 +1,12 @@ +#!/bin/bash +# P4: Llama-3.2-3B -- matches the failing Qwen2.5-1.5B on BOTH untested candidate features +# (28 layers, head_dim 128) while differing in family and size. Frozen protocol, no tuning. +cd /root/lwc/repo_new || exit 1 +export PYTHONPATH=src OMP_NUM_THREADS=16 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True +P=/venv/main/bin/python +R=/root/lwc/results +for s in 0 1; do + $P -u -m lwc.experiments.valid_eval --model unsloth/Llama-3.2-3B --calib-seed $s \ + --fresh-g-seq 16 --arms gptq,module --out $R/p4_llama3b_s$s.jsonl > $R/p4_llama3b_s$s.log 2>&1 || break +done +touch $R/P4_DONE diff --git a/evidence/box_scripts/lwc_p5.sh b/evidence/box_scripts/lwc_p5.sh new file mode 100644 index 0000000000000000000000000000000000000000..c4bb29f26142a9f358ddc46a653a49efa72d2b09 --- /dev/null +++ b/evidence/box_scripts/lwc_p5.sh @@ -0,0 +1,7 @@ +#!/bin/bash +cd /root/lwc/repo_new || exit 1 +export PYTHONPATH=src OMP_NUM_THREADS=16 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True +/venv/main/bin/python -u -m lwc.experiments.valid_eval --model Qwen/Qwen2.5-1.5B \ + --calib-seed 1 --arms gptq,module --out /root/lwc/results/valid_qwen15_s1b.jsonl \ + > /root/lwc/results/valid_qwen15_s1b.log 2>&1 +touch /root/lwc/results/P5_DONE diff --git a/evidence/box_scripts/lwc_sweep.sh b/evidence/box_scripts/lwc_sweep.sh new file mode 100644 index 0000000000000000000000000000000000000000..ebcffa63877f171fa01fff1001ea94ebf7c73d1d --- /dev/null +++ b/evidence/box_scripts/lwc_sweep.sh @@ -0,0 +1,10 @@ +#!/bin/bash +cd /root/lwc/repo_new || exit 1 +export PYTHONPATH=src OMP_NUM_THREADS=16 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True +P=/venv/main/bin/python +R=/root/lwc/results +echo "=== Qwen2.5-1.5B layer 13 ===" +$P -u noise_probe.py --model Qwen/Qwen2.5-1.5B --layer 13 --out $R/probe_15b.jsonl 2>&1 | grep -avE 'Loading|Warning|it/s|longer than' +echo "=== Qwen2.5-0.5B layer 11 (control: the size where the method works) ===" +$P -u noise_probe.py --model Qwen/Qwen2.5-0.5B --layer 11 --out $R/probe_05b.jsonl 2>&1 | grep -avE 'Loading|Warning|it/s|longer than' +touch $R/SWEEP_DONE diff --git a/evidence/diagnostics/attn_decomp.jsonl b/evidence/diagnostics/attn_decomp.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4b021975ad9450ea503e30b13720e063b37f2e5f --- /dev/null +++ b/evidence/diagnostics/attn_decomp.jsonl @@ -0,0 +1,12 @@ +{"layer": 5, "arm": "layer", "bits": 3, "group": 128, "secs": 4.954832553863525, "cal_logit_mse": 0.07936648279428482, "cal_softmax_kl": 0.016481926664710045, "cal_attnout_mse": 0.0006425523315556347, "cal_top1_flips": 0.0548444464802742, "val_logit_mse": 0.09921277314424515, "val_softmax_kl": 0.020411429926753044, "val_attnout_mse": 0.0008493068744428456, "val_top1_flips": 0.0611310675740242, "dmg_q_proj": 6.6955342292785645, "dmg_k_proj": 1.2423218488693237, "rho_zmax_kl": 0.0457700751721859, "rho_zmax_dY": 0.1648099571466446, "rho_margin_kl": -0.36383548378944397, "rho_margin_dY": -0.5051407814025879, "rho_entropy_kl": 0.4951394200325012, "rho_entropy_dY": 0.19192469120025635, "rho_pmax_kl": -0.5112256407737732, "rho_pmax_dY": -0.38153886795043945, "rho_jtrace_kl": 0.5207735896110535, "rho_jtrace_dY": 0.34042859077453613, "rho_v_disp_kl": 0.586668848991394, "rho_v_disp_dY": 0.5092847347259521, "rho_vdisp_dY_at_fixed_kl": 0.13909018374979495, "n_rows": 20000} +{"layer": 5, "arm": "logits", "bits": 3, "group": 128, "secs": 74.82016062736511, "cal_logit_mse": 0.0372544564306736, "cal_softmax_kl": 0.008180066011846066, "cal_attnout_mse": 0.0003269195731263608, "cal_top1_flips": 0.04071044921875, "val_logit_mse": 0.05015130713582039, "val_softmax_kl": 0.010623576119542122, "val_attnout_mse": 0.0004404713399708271, "val_top1_flips": 0.0472324900329113, "dmg_q_proj": 7.371162414550781, "dmg_k_proj": 1.380376935005188} +{"layer": 5, "arm": "softmax", "bits": 3, "group": 128, "secs": 64.2379059791565, "cal_logit_mse": 0.0404399074614048, "cal_softmax_kl": 0.007680214941501617, "cal_attnout_mse": 0.00029621770954690874, "cal_top1_flips": 0.0385916568338871, "val_logit_mse": 0.054278455674648285, "val_softmax_kl": 0.010163349099457264, 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Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57032 (ppl 13.0700) 20s +fp16 c4 mean NLL 3.04347 (ppl 20.9778) 63s + layer 0/23 peak 2040 MiB opt 135s + layer 8/23 peak 2431 MiB opt 1422s + layer 16/23 peak 2818 MiB opt 2728s + layer 23/23 peak 3157 MiB opt 3836s +module_bd bpw 3.2500 | NLL wt2 2.89882 c4 3.39350 | KL 0.34641 | 4190s diff --git a/evidence/diagnostics/d2_qwen15_bd.jsonl b/evidence/diagnostics/d2_qwen15_bd.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b614b5d53decd5e35536f0ae79f5edc9a38aea7 --- /dev/null +++ b/evidence/diagnostics/d2_qwen15_bd.jsonl @@ -0,0 +1,5 @@ +{"model": "Qwen/Qwen2.5-1.5B", "calib_seed": 0, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [1.9421778917312622, 2.346499443054199, 2.5705602169036865, 2.3958442211151123, 2.146455764770508, 1.7245042324066162, 1.5329445600509644, 2.073718309402466, 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0000000000000000000000000000000000000000..e5c1db145560afde1cc64525b433eba6663b8943 --- /dev/null +++ b/evidence/diagnostics/d2_qwen15_bd.log @@ -0,0 +1,12 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/338 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.22623 (ppl 9.2649) 22s +fp16 c4 mean NLL 2.74330 (ppl 15.5382) 71s + layer 0/27 peak 6511 MiB opt 137s + layer 8/27 peak 7551 MiB opt 2722s + layer 16/27 peak 8585 MiB opt 5358s + layer 24/27 peak 9619 MiB opt 7857s + layer 27/27 peak 10007 MiB opt 8733s +module_bd bpw 3.2500 | NLL wt2 2.55952 c4 3.06488 | KL 0.35413 | 9314s diff --git a/evidence/diagnostics/d2_qwen15_pre.jsonl b/evidence/diagnostics/d2_qwen15_pre.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..004ea48aad917faad35602d9951c4581a1599a7b --- /dev/null +++ b/evidence/diagnostics/d2_qwen15_pre.jsonl @@ -0,0 +1,5 @@ +{"model": "Qwen/Qwen2.5-1.5B", "calib_seed": 0, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [1.9421778917312622, 2.346499443054199, 2.5705602169036865, 2.3958442211151123, 2.146455764770508, 1.7245042324066162, 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b/evidence/diagnostics/d2_qwen15_pre.log new file mode 100644 index 0000000000000000000000000000000000000000..4958008268b34b5b6faa2dd75227052330b28e8e --- /dev/null +++ b/evidence/diagnostics/d2_qwen15_pre.log @@ -0,0 +1,12 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/338 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.22623 (ppl 9.2649) 22s +fp16 c4 mean NLL 2.74330 (ppl 15.5382) 70s + layer 0/27 peak 6511 MiB opt 129s + layer 8/27 peak 7551 MiB opt 2574s + layer 16/27 peak 8585 MiB opt 5234s + layer 24/27 peak 9619 MiB opt 7888s + layer 27/27 peak 10007 MiB opt 8947s +module_pre bpw 3.2500 | NLL wt2 2.55624 c4 3.06125 | KL 0.35420 | 9511s diff --git a/evidence/diagnostics/gptq_scalefeed.jsonl b/evidence/diagnostics/gptq_scalefeed.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8a0fe89719cfb9e8bedf83072af6c6a5bcd705d5 --- /dev/null +++ b/evidence/diagnostics/gptq_scalefeed.jsonl @@ -0,0 +1,90 @@ +{"module": "1.mlp.down_proj", "coord": "native", "bits": 4, "group": 256, "out": 896, "inn": 4864, "percdamp": 0.01, "secs": 42.341453075408936, "rtn": 0.01128297896730319, "rtn_val": 0.011328059390212671, "block": 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believed 0.808 | scored: 4k:0.912 8k:0.959 16k:0.986 32k:0.999 +=== Qwen2.5-0.5B layer 11 (control: the size where the method works) === +gate_proj out 4864 (0.42 samp/dim) | believed 0.671 | scored: 4k:0.835 8k:0.918 16k:1.001 32k:1.001 +up_proj out 4864 (0.42 samp/dim) | believed 0.694 | scored: 4k:0.748 8k:0.775 16k:0.802 32k:0.802 +k_proj out 128 (16.00 samp/dim) | believed 0.504 | scored: 4k:0.554 8k:0.575 16k:0.588 32k:0.604 +q_proj out 896 (2.29 samp/dim) | believed 0.685 | scored: 4k:0.697 8k:0.700 16k:0.703 32k:0.704 +v_proj out 128 (16.00 samp/dim) | believed 0.457 | scored: 4k:0.925 8k:0.987 16k:1.053 32k:1.092 diff --git a/evidence/diagnostics/transform_plateau.jsonl b/evidence/diagnostics/transform_plateau.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eb566a1820b293f10cbb48f080eb955ddbd541b0 --- /dev/null +++ b/evidence/diagnostics/transform_plateau.jsonl @@ -0,0 +1,14 @@ +{"module": "model.layers.11.self_attn.q_proj", "mode": "tangent", "eps": 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2172.1312692165375, "opt_s": 1971.2331230640411, "scope_s": 32.05722403526306, "peak_vram_mib": 3193.330078125, "nll_wt2": 2.9129112828267765, "nll_c4": 3.3986205912660807, "kl_fp16": 0.35888469059136696} diff --git a/evidence/validation/d3a_qwen05_halves_s0.log b/evidence/validation/d3a_qwen05_halves_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..403cd161069bdb0873bf5514da497e1b7bb0a116 --- /dev/null +++ b/evidence/validation/d3a_qwen05_halves_s0.log @@ -0,0 +1,18 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00/.venv\Lib\site-packages\torch\nn\modules\module.py:1329: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:28.) + return t.to( +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 170s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 567s + layer 0/23 peak 1837 MiB opt 45s + layer 8/23 peak 2238 MiB opt 391s + layer 16/23 peak 2632 MiB opt 717s + layer 23/23 peak 2979 MiB opt 984s +module_attn bpw 3.2500 | NLL wt2 2.91925 c4 3.40435 | KL 0.36478 | 1143s + layer 0/23 peak 2723 MiB opt 56s + layer 8/23 peak 2888 MiB opt 701s + layer 16/23 peak 3051 MiB opt 1364s + layer 23/23 peak 3193 MiB opt 1971s +module_mlp bpw 3.2500 | NLL wt2 2.91291 c4 3.39862 | KL 0.35888 | 2172s diff --git a/evidence/validation/d3b_qwen05_model_p2_t2k_s0.jsonl b/evidence/validation/d3b_qwen05_model_p2_t2k_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20a28b0613d4cf150952949718bf8a7b4ddb3e31 --- /dev/null +++ b/evidence/validation/d3b_qwen05_model_p2_t2k_s0.jsonl @@ -0,0 +1,5 @@ +{"model": 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"down_proj": 0.03214937941472333, "depth1": 0.027738511082016942, "depth2": 0.02971985086853251, "depth3": 0.02564156221382784}, "obj_ratio": 0.854684895457981, "obj_fresh": 0.79923598835092, "obj_fresh_before": 0.8057015883496206, "obj_fresh_after": 0.5879838588807615, "quant_s": 7602.1004004478455, "opt_s": 7088.964312553406, "scope_s": 214.783851146698, "peak_vram_mib": 4051.68994140625, "nll_wt2": 2.9202246012753004, "nll_c4": 3.398918417515233, "kl_fp16": 0.3590079332643654} diff --git a/evidence/validation/d3b_qwen05_model_p2_t2k_s0.log b/evidence/validation/d3b_qwen05_model_p2_t2k_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..7c5e603d8b534c7065f802f5eb537695aedadd4c --- /dev/null +++ b/evidence/validation/d3b_qwen05_model_p2_t2k_s0.log @@ -0,0 +1,13 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00/.venv\Lib\site-packages\torch\nn\modules\module.py:1329: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:28.) + return t.to( +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 178s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 594s + layer 0/23 peak 3983 MiB opt 327s + layer 8/23 peak 4052 MiB opt 3221s + layer 16/23 peak 4052 MiB opt 5553s + layer 23/23 peak 4052 MiB opt 7089s +model bpw 3.2500 | NLL wt2 2.92022 c4 3.39892 | KL 0.35901 | 7602s diff --git a/evidence/validation/d3b_qwen05_model_p2_t8k_s0.jsonl b/evidence/validation/d3b_qwen05_model_p2_t8k_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..200f1f111f1cc91f7bf4032763e75ae8db507ed9 --- /dev/null +++ b/evidence/validation/d3b_qwen05_model_p2_t8k_s0.jsonl @@ -0,0 +1,5 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "calib_source": "wikitext2", "n_probe": 2, "g_tokens": 8192, "arm": "fp16", "eval": "wt2", "nlls": [2.2355058193206787, 2.7043349742889404, 2.945390462875366, 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"obj_fresh_before": 0.6640191683018202, "obj_fresh_after": 0.4506922442778887, "quant_s": 5810.363184928894, "opt_s": 5329.310094594955, "scope_s": 215.1662518978119, "peak_vram_mib": 4051.68994140625, "nll_wt2": 2.901985325225412, "nll_c4": 3.3934311794582754, "kl_fp16": 0.34935207810485736} diff --git a/evidence/validation/d3b_qwen05_model_p2_t8k_s0.log b/evidence/validation/d3b_qwen05_model_p2_t8k_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..70083e5088bea112ddf207839aa158b405d4f155 --- /dev/null +++ b/evidence/validation/d3b_qwen05_model_p2_t8k_s0.log @@ -0,0 +1,13 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00/.venv\Lib\site-packages\torch\nn\modules\module.py:1329: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:28.) + return t.to( +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 170s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 568s + layer 0/23 peak 3983 MiB opt 190s + layer 8/23 peak 4052 MiB opt 2289s + layer 16/23 peak 4052 MiB opt 4195s + layer 23/23 peak 4052 MiB opt 5329s +model bpw 3.2500 | NLL wt2 2.90199 c4 3.39343 | KL 0.34935 | 5810s diff --git a/evidence/validation/d3b_qwen05_model_p8_t2k_s0.jsonl b/evidence/validation/d3b_qwen05_model_p8_t2k_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4e6d64f3d628c39e6b2f10667fce38ae59b823bd --- /dev/null +++ b/evidence/validation/d3b_qwen05_model_p8_t2k_s0.jsonl @@ -0,0 +1,5 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "calib_source": "wikitext2", "n_probe": 8, "g_tokens": 2048, "arm": "fp16", "eval": "wt2", "nlls": [2.2355058193206787, 2.7043349742889404, 2.945390462875366, 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0.7503775288532779, "obj_fresh_after": 0.528526462152513, "quant_s": 12642.852195501328, "opt_s": 10234.404404640198, "scope_s": 1326.7690033912659, "peak_vram_mib": 4051.68994140625, "nll_wt2": 2.9252870915687246, "nll_c4": 3.401589708868414, "kl_fp16": 0.36468208074802533} diff --git a/evidence/validation/d3b_qwen05_model_p8_t2k_s0.log b/evidence/validation/d3b_qwen05_model_p8_t2k_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..110dd7c8cab9f2e27cc7d2c67381a44070861b91 --- /dev/null +++ b/evidence/validation/d3b_qwen05_model_p8_t2k_s0.log @@ -0,0 +1,13 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00/.venv\Lib\site-packages\torch\nn\modules\module.py:1329: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:28.) + return t.to( +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 172s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 576s + layer 0/23 peak 3983 MiB opt 481s + layer 8/23 peak 4052 MiB opt 4868s + layer 16/23 peak 4052 MiB opt 8357s + layer 23/23 peak 4052 MiB opt 10234s +model bpw 3.2500 | NLL wt2 2.92529 c4 3.40159 | KL 0.36468 | 12642s diff --git a/evidence/validation/d3bx2_qwen05_module_t8k_s0.jsonl b/evidence/validation/d3bx2_qwen05_module_t8k_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..132529f417166584b24a7637bf17a96b43e3de26 --- /dev/null +++ b/evidence/validation/d3bx2_qwen05_module_t8k_s0.jsonl @@ -0,0 +1,5 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "calib_source": "wikitext2", "n_probe": 2, "g_tokens": 8192, "arm": "fp16", "eval": "wt2", "nlls": [2.2355058193206787, 2.7043349742889404, 2.945390462875366, 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"obj_fresh_before": 111.46255748753538, "obj_fresh_after": 83.15989476280083, "quant_s": 3109.2837929725647, "opt_s": 2870.329963207245, "scope_s": 36.06739521026611, "peak_vram_mib": 3189.205078125, "nll_wt2": 2.89554294331433, "nll_c4": 3.3828665502369404, "kl_fp16": 0.3419270655431319} diff --git a/evidence/validation/d3bx2_qwen05_module_t8k_s0.log b/evidence/validation/d3bx2_qwen05_module_t8k_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..3b6db52424141b30ca7aefa6513bb2df88d9aa02 --- /dev/null +++ b/evidence/validation/d3bx2_qwen05_module_t8k_s0.log @@ -0,0 +1,11 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 170s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 568s + layer 0/23 peak 2051 MiB opt 99s + layer 8/23 peak 2449 MiB opt 1065s + layer 16/23 peak 2843 MiB opt 2070s + layer 23/23 peak 3189 MiB opt 2870s +module bpw 3.2500 | NLL wt2 2.89554 c4 3.38287 | KL 0.34193 | 3109s diff --git a/evidence/validation/d3bx_qwen05_attn_t8k_s0.jsonl b/evidence/validation/d3bx_qwen05_attn_t8k_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50dbd78a0e074c4cb1b25880690133a656bb2050 --- /dev/null +++ b/evidence/validation/d3bx_qwen05_attn_t8k_s0.jsonl @@ -0,0 +1,5 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "calib_source": "wikitext2", "n_probe": 2, "g_tokens": 8192, "arm": "fp16", "eval": "wt2", "nlls": [2.2355058193206787, 2.7043349742889404, 2.945390462875366, 2.8307769298553467, 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"obj_fresh_before": 30.72741810360094, "obj_fresh_after": 23.08241950325464, "quant_s": 1966.7219049930573, "opt_s": 1707.3352127075195, "scope_s": 36.340596199035645, "peak_vram_mib": 2978.50537109375, "nll_wt2": 2.8980318618147343, "nll_c4": 3.3815282485447824, "kl_fp16": 0.3407807706389576} diff --git a/evidence/validation/d3bx_qwen05_attn_t8k_s0.log b/evidence/validation/d3bx_qwen05_attn_t8k_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..865eda841d6c10e373ee5e863745c8fe023faa92 --- /dev/null +++ b/evidence/validation/d3bx_qwen05_attn_t8k_s0.log @@ -0,0 +1,11 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 170s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 570s + layer 0/23 peak 1837 MiB opt 89s + layer 8/23 peak 2238 MiB opt 701s + layer 16/23 peak 2632 MiB opt 1266s + layer 23/23 peak 2979 MiB opt 1707s +module_attn bpw 3.2500 | NLL wt2 2.89803 c4 3.38153 | KL 0.34078 | 1966s diff --git a/evidence/validation/d3c_qwen05_c4calib_s0.jsonl b/evidence/validation/d3c_qwen05_c4calib_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..850828e23bfa327dba9f5e34e3f1b63bec58e0af --- /dev/null +++ b/evidence/validation/d3c_qwen05_c4calib_s0.jsonl @@ -0,0 +1,8 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "calib_source": "c4", "n_probe": 2, "g_tokens": 2048, "arm": "fp16", "eval": "wt2", "nlls": [2.2355058193206787, 2.7043349742889404, 2.945390462875366, 2.8307769298553467, 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2681.320229768753, "scope_s": 32.44763970375061, "peak_vram_mib": 3191.111328125, "nll_wt2": 2.984551530994781, "nll_c4": 3.3617620549630374, "kl_fp16": 0.3705406843801029} diff --git a/evidence/validation/d3c_qwen05_c4calib_s0.log b/evidence/validation/d3c_qwen05_c4calib_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..e155556825d1f6c0fce0515d9743ddc12baf18e4 --- /dev/null +++ b/evidence/validation/d3c_qwen05_c4calib_s0.log @@ -0,0 +1,18 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00/.venv\Lib\site-packages\torch\nn\modules\module.py:1329: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:28.) + return t.to( +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 169s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 565s + layer 0/23 peak 1797 MiB opt 0s + layer 8/23 peak 1964 MiB opt 0s + layer 16/23 peak 2124 MiB opt 0s + layer 23/23 peak 2264 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 3.02064 c4 3.39272 | KL 0.40091 | 134s + layer 0/23 peak 2051 MiB opt 91s + layer 8/23 peak 2449 MiB opt 1025s + layer 16/23 peak 2846 MiB opt 1913s + layer 23/23 peak 3191 MiB opt 2681s +module bpw 3.2500 | NLL wt2 2.98455 c4 3.36176 | KL 0.37054 | 2878s diff --git a/evidence/validation/d4_qwen05_vq20_prefix.jsonl b/evidence/validation/d4_qwen05_vq20_prefix.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec31cea2a3c0dba91a763a65b8de18efd2691b64 --- /dev/null +++ b/evidence/validation/d4_qwen05_vq20_prefix.jsonl @@ -0,0 +1,4 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, 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Running this sequence through the model will result in indexing errors +prefix tokens: [271] +vq20_plain wt2 prefixed mean NLL 3.20277 +vq20_plain c4 prefixed mean NLL 3.94439 diff --git a/evidence/validation/d4_qwen05_vq20_prefix_refine.log b/evidence/validation/d4_qwen05_vq20_prefix_refine.log new file mode 100644 index 0000000000000000000000000000000000000000..e0be0a074709e4f19f95e6005e996209f194600e --- /dev/null +++ b/evidence/validation/d4_qwen05_vq20_prefix_refine.log @@ -0,0 +1,5 @@ + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +prefix tokens: [271] +vq20_refine wt2 prefixed mean NLL 3.17293 +vq20_refine c4 prefixed mean NLL 3.91441 diff --git a/evidence/validation/monitor_rd_and_llama3b.log b/evidence/validation/monitor_rd_and_llama3b.log new file mode 100644 index 0000000000000000000000000000000000000000..c140459ffcc20253269a92ce37ba1d2d67fa7e21 --- /dev/null +++ b/evidence/validation/monitor_rd_and_llama3b.log @@ -0,0 +1,7 @@ +gptq bpw 2.5000 | NLL wt2 9.04084 c4 9.52212 | KL 6.44220 | 220s +module bpw 2.5000 | NLL wt2 9.13459 c4 10.44663 | KL 6.95923 | 4277s +gptq bpw 3.5000 | NLL wt2 2.83137 c4 3.31496 | KL 0.27972 | 230s +module bpw 3.5000 | NLL wt2 2.82595 c4 3.31256 | KL 0.26985 | 4085s +gptq bpw 4.2500 | NLL wt2 2.63769 c4 3.10592 | KL 0.06652 | 226s +module bpw 4.2500 | NLL wt2 2.63171 c4 3.10236 | KL 0.06312 | 3933s +gptq bpw 3.2500 | NLL wt2 2.36377 c4 3.13628 | KL 0.42679 | 517s diff --git a/evidence/validation/p3_llama1b.jsonl b/evidence/validation/p3_llama1b.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1059f532a05612e87b97f4c467218a284477cc5 --- /dev/null +++ b/evidence/validation/p3_llama1b.jsonl @@ -0,0 +1,11 @@ +{"model": "unsloth/Llama-3.2-1B", "calib_seed": 0, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [1.9818955659866333, 2.588634967803955, 2.731562614440918, 2.243825674057007, 2.1468498706817627, 1.8303046226501465, 1.9152401685714722, 2.179685115814209, 2.501138210296631, 2.178201913833618, 2.1206092834472656, 2.4571070671081543, 2.349130868911743, 2.4368896484375, 2.4256443977355957, 2.606666088104248, 2.333491325378418, 2.359712600708008, 2.1191933155059814, 2.3339786529541016, 2.463823080062866, 2.3804376125335693, 2.4418513774871826, 2.491865396499634, 2.5130856037139893, 2.5543057918548584, 2.6132984161376953, 2.399935483932495, 2.2245266437530518, 2.0607361793518066, 1.9639341831207275, 1.977543830871582, 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b/evidence/validation/p3_llama1b.log @@ -0,0 +1,18 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/146 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 141 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.27737 (ppl 9.7510) 14s +fp16 c4 mean NLL 2.78521 (ppl 16.2032) 44s + layer 0/15 peak 4798 MiB opt 0s + layer 8/15 peak 5446 MiB opt 0s + layer 15/15 peak 6006 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.76574 c4 3.49985 | KL 0.62934 | 307s + layer 0/15 peak 4814 MiB opt 72s + layer 8/15 peak 5462 MiB opt 656s + layer 15/15 peak 6022 MiB opt 1169s +layer bpw 3.2500 | NLL wt2 2.78013 c4 3.51777 | KL 0.65332 | 1500s + layer 0/15 peak 5580 MiB opt 501s + layer 8/15 peak 7156 MiB opt 5679s + layer 15/15 peak 8528 MiB opt 10104s +module bpw 3.2500 | NLL wt2 2.74318 c4 3.47529 | KL 0.61403 | 10479s diff --git a/evidence/validation/p3_llama1b_s1.jsonl b/evidence/validation/p3_llama1b_s1.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d730e5f2d73babceb59e53e93110d4137ed34453 --- /dev/null +++ b/evidence/validation/p3_llama1b_s1.jsonl @@ -0,0 +1,8 @@ +{"model": "unsloth/Llama-3.2-1B", "calib_seed": 1, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [1.9818955659866333, 2.588634967803955, 2.731562614440918, 2.243825674057007, 2.1468498706817627, 1.8303046226501465, 1.9152401685714722, 2.179685115814209, 2.501138210296631, 2.178201913833618, 2.1206092834472656, 2.4571070671081543, 2.349130868911743, 2.4368896484375, 2.4256443977355957, 2.606666088104248, 2.333491325378418, 2.359712600708008, 2.1191933155059814, 2.3339786529541016, 2.463823080062866, 2.3804376125335693, 2.4418513774871826, 2.491865396499634, 2.5130856037139893, 2.5543057918548584, 2.6132984161376953, 2.399935483932495, 2.2245266437530518, 2.0607361793518066, 1.9639341831207275, 1.977543830871582, 2.233184337615967, 2.1622214317321777, 2.385014772415161, 1.6580886840820312, 1.65775465965271, 1.6394586563110352, 1.650346279144287, 1.859397530555725, 2.4716124534606934, 2.9265732765197754, 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sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/146 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 141 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.27737 (ppl 9.7510) 14s +fp16 c4 mean NLL 2.78521 (ppl 16.2032) 45s + layer 0/15 peak 4798 MiB opt 0s + layer 8/15 peak 5446 MiB opt 0s + layer 15/15 peak 6006 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.77278 c4 3.45551 | KL 0.60891 | 325s + layer 0/15 peak 5580 MiB opt 448s + layer 8/15 peak 7156 MiB opt 5190s + layer 15/15 peak 8528 MiB opt 9613s +module bpw 3.2500 | NLL wt2 2.75735 c4 3.45913 | KL 0.61312 | 9991s diff --git a/evidence/validation/p3_llama1b_s2.jsonl b/evidence/validation/p3_llama1b_s2.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c177073474c7ba1c57203ebb46c71eb4bb6c880 --- /dev/null +++ b/evidence/validation/p3_llama1b_s2.jsonl @@ -0,0 +1,8 @@ +{"model": "unsloth/Llama-3.2-1B", "calib_seed": 2, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [1.9818955659866333, 2.588634967803955, 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Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/146 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 141 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.27737 (ppl 9.7510) 14s +fp16 c4 mean NLL 2.78521 (ppl 16.2032) 44s + layer 0/15 peak 4798 MiB opt 0s + layer 8/15 peak 5446 MiB opt 0s + layer 15/15 peak 6006 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.76782 c4 3.51913 | KL 0.63496 | 326s + layer 0/15 peak 5580 MiB opt 445s + layer 8/15 peak 7156 MiB opt 5538s + layer 15/15 peak 8528 MiB opt 9540s +module bpw 3.2500 | NLL wt2 2.74705 c4 3.43199 | KL 0.57950 | 9914s diff --git a/evidence/validation/p4_qwen05_vq20_plain.jsonl b/evidence/validation/p4_qwen05_vq20_plain.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..602bf64843cfa15936a0513c663c99c6005af8f4 --- /dev/null +++ b/evidence/validation/p4_qwen05_vq20_plain.jsonl @@ -0,0 +1,5 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "ckpt": "/models/vq_decoder/qwen2.5-0.5b-vq2.0-plain", "arm": 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{"model.safetensors": "91be90b6b916e3d1764c89f937385b4e665844bc557da3c22997ea127baa4281"}, "dtype": "float16", "untouched": ["embed_tokens", "lm_head", "norms", "biases"], "attribution": "OUR_METHOD (quantiser) / peer's vq_refine where refine != none"}, "flips": {}, "obj_ratio": null, "quant_s": 0.0, "opt_s": 0.0, "scope_s": 0.0, "peak_vram_mib": 0.0, "nll_wt2": 3.2624539724768025, "nll_c4": 3.99320527468808, "kl_fp16": 0.7864873113576323} diff --git a/evidence/validation/p4_qwen05_vq20_plain.log b/evidence/validation/p4_qwen05_vq20_plain.log new file mode 100644 index 0000000000000000000000000000000000000000..8d0fa90a70d81af1373c14d3522010ba5e9c826c --- /dev/null +++ b/evidence/validation/p4_qwen05_vq20_plain.log @@ -0,0 +1,7 @@ + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 169s +fp16 c4 mean NLL 3.04346 567s + Loading weights: 0%| | 0/290 [00:00/models/vq_decoder/qwen2.5-0.5b-vq2.0-refine", "arm": "fp16", "eval": "wt2", "nlls": [2.2355058193206787, 2.7043349742889404, 2.945390462875366, 2.8307769298553467, 2.4806771278381348, 2.1129138469696045, 1.8629381656646729, 2.4300036430358887, 2.6552188396453857, 2.7108023166656494, 2.5188474655151367, 2.602569580078125, 2.4638702869415283, 2.6709907054901123, 2.6241302490234375, 2.7532413005828857, 2.8749887943267822, 2.6796998977661133, 2.4261906147003174, 2.2508156299591064, 2.560035228729248, 2.842288017272949, 2.553807497024536, 2.6848225593566895, 2.6881017684936523, 2.7572011947631836, 2.805248975753784, 3.05977725982666, 2.6881744861602783, 2.3691186904907227, 2.351405382156372, 2.3337628841400146, 2.111090660095215, 2.579486131668091, 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{"model.safetensors": "306ac995286dab452d78caa06d3d195a5ff667bf3c9be14d143f2d86b5d0bc10"}, "dtype": "float16", "untouched": ["embed_tokens", "lm_head", "norms", "biases"], "attribution": "OUR_METHOD (quantiser) / peer's vq_refine where refine != none"}, "flips": {}, "obj_ratio": null, "quant_s": 0.0, "opt_s": 0.0, "scope_s": 0.0, "peak_vram_mib": 0.0, "nll_wt2": 3.2890647715085173, "nll_c4": 3.9261894337832928, "kl_fp16": 0.7116099208360538} diff --git a/evidence/validation/p4_qwen05_vq20_refine.log b/evidence/validation/p4_qwen05_vq20_refine.log new file mode 100644 index 0000000000000000000000000000000000000000..7417009c7d2bd08ca52cf5f8a5e8006ef6411826 --- /dev/null +++ b/evidence/validation/p4_qwen05_vq20_refine.log @@ -0,0 +1,7 @@ + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 169s +fp16 c4 mean NLL 3.04346 566s + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 141 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.05586 (ppl 7.8136) 21s +fp16 c4 mean NLL 2.64274 (ppl 14.0517) 69s + layer 0/27 peak 8728 MiB opt 0s + layer 8/27 peak 9764 MiB opt 0s + layer 16/27 peak 10788 MiB opt 0s + layer 24/27 peak 11812 MiB opt 0s + layer 27/27 peak 12196 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.36377 c4 3.13628 | KL 0.42679 | 517s + layer 0/27 peak 9404 MiB opt 621s + layer 8/27 peak 11976 MiB opt 8053s diff --git a/evidence/validation/rd_q05_b2g64.jsonl b/evidence/validation/rd_q05_b2g64.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ac0de0f8beda8d392311a30b19074b076d1e333 --- /dev/null +++ b/evidence/validation/rd_q05_b2g64.jsonl @@ -0,0 +1,8 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [2.235435962677002, 2.704334259033203, 2.94539737701416, 2.830749273300171, 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Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57032 (ppl 13.0700) 18s +fp16 c4 mean NLL 3.04347 (ppl 20.9778) 58s + layer 0/23 peak 1776 MiB opt 0s + layer 8/23 peak 1908 MiB opt 0s + layer 16/23 peak 2036 MiB opt 0s + layer 23/23 peak 2148 MiB opt 0s +gptq bpw 2.5000 | NLL wt2 9.04084 c4 9.52212 | KL 6.44220 | 220s + layer 0/23 peak 1922 MiB opt 137s + layer 8/23 peak 2281 MiB opt 1474s + layer 16/23 peak 2637 MiB opt 2772s + layer 23/23 peak 2948 MiB opt 4037s +module bpw 2.5000 | NLL wt2 9.13459 c4 10.44663 | KL 6.95923 | 4277s diff --git a/evidence/validation/rd_q05_b3g64.jsonl b/evidence/validation/rd_q05_b3g64.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..51afefbdcca94980ba83d430aca24872a08d9ee3 --- /dev/null +++ b/evidence/validation/rd_q05_b3g64.jsonl @@ -0,0 +1,8 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "arm": "fp16", 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0000000000000000000000000000000000000000..d357a6e5b724c7ece19206700aa1bd63ff965b30 --- /dev/null +++ b/evidence/validation/rd_q05_b3g64.log @@ -0,0 +1,16 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57032 (ppl 13.0700) 19s +fp16 c4 mean NLL 3.04347 (ppl 20.9778) 62s + layer 0/23 peak 1776 MiB opt 0s + layer 8/23 peak 1908 MiB opt 0s + layer 16/23 peak 2036 MiB opt 0s + layer 23/23 peak 2148 MiB opt 0s +gptq bpw 3.5000 | NLL wt2 2.83137 c4 3.31496 | KL 0.27972 | 230s + layer 0/23 peak 1922 MiB opt 144s + layer 8/23 peak 2281 MiB opt 1464s + layer 16/23 peak 2637 MiB opt 2735s + layer 23/23 peak 2948 MiB opt 3840s +module bpw 3.5000 | NLL wt2 2.82595 c4 3.31256 | KL 0.26985 | 4085s diff --git a/evidence/validation/rd_q05_b4g128.jsonl b/evidence/validation/rd_q05_b4g128.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d8a66d2cc810a406ed28370259b6e288a2b79640 --- /dev/null +++ b/evidence/validation/rd_q05_b4g128.jsonl @@ -0,0 +1,8 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "arm": 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0000000000000000000000000000000000000000..48b45a17b4c578d36a497fec670253513595b0d6 --- /dev/null +++ b/evidence/validation/rd_q05_b4g128.log @@ -0,0 +1,16 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57032 (ppl 13.0700) 19s +fp16 c4 mean NLL 3.04347 (ppl 20.9778) 59s + layer 0/23 peak 1776 MiB opt 0s + layer 8/23 peak 1908 MiB opt 0s + layer 16/23 peak 2036 MiB opt 0s + layer 23/23 peak 2148 MiB opt 0s +gptq bpw 4.2500 | NLL wt2 2.63769 c4 3.10592 | KL 0.06652 | 226s + layer 0/23 peak 1922 MiB opt 146s + layer 8/23 peak 2281 MiB opt 1408s + layer 16/23 peak 2637 MiB opt 2647s + layer 23/23 peak 2948 MiB opt 3687s +module bpw 4.2500 | NLL wt2 2.63171 c4 3.10236 | KL 0.06312 | 3933s diff --git a/evidence/validation/valid_qwen05_s0.jsonl b/evidence/validation/valid_qwen05_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a535437a72d25d7033c83dde412a1db8c8d6f3b4 --- /dev/null +++ b/evidence/validation/valid_qwen05_s0.jsonl @@ -0,0 +1,16 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "arm": 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3.3757238758262247} +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 0, "seqlen": 2048, "arm": "block", "bpw": 3.2500150240384613, "flips": {"q_proj": 0.025824514376062924, "depth0": 0.03008353544242216, "k_proj": 0.032368614560081846, "v_proj": 0.024557204473586308, "o_proj": 0.015618875724117772, "gate_proj": 0.039004705902329066, "up_proj": 0.03208997912873003, "down_proj": 0.021122772293282032, "depth1": 0.03366338149968521, "depth2": 0.030177312718206274, "depth3": 0.024577091203067766}, "obj_ratio": 0.9013427533743921, "obj_fresh": 0.802026011044728, "quant_s": 4008.288812160492, "opt_s": 3807.784154891968, "scope_s": 25.03601312637329, "peak_vram_mib": 3196.830078125, "nll_wt2": 2.9002710580825806, "nll_c4": 3.3757238758262247, "kl_fp16": 0.3395344779419247} diff --git a/evidence/validation/valid_qwen05_s0.log b/evidence/validation/valid_qwen05_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..2a93a6474d3e3d1908d4ac437d47ba414896c757 --- /dev/null +++ b/evidence/validation/valid_qwen05_s0.log @@ -0,0 +1,110 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 (last modified on Wed Sep 2 10:55:36 2026). +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 172s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 572s + layer 0/23 peak 1798 MiB opt 0s + layer 8/23 peak 1962 MiB opt 0s + layer 16/23 peak 2123 MiB opt 0s + layer 23/23 peak 2263 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.92129 c4 3.39860 | KL 0.36373 | 156s + layer 0/23 peak 1800 MiB opt 17s + layer 8/23 peak 1967 MiB opt 154s + layer 16/23 peak 2127 MiB opt 290s + layer 23/23 peak 2267 MiB opt 409s +layer bpw 3.2500 | NLL wt2 2.92314 c4 3.41506 | KL 0.36993 | 541s + layer 0/23 peak 2140 MiB opt 86s + layer 8/23 peak 2539 MiB opt 1018s + layer 16/23 peak 2936 MiB opt 2083s + layer 23/23 peak 3281 MiB opt 3140s +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/src\lwc\experiments\valid_eval.py", line 212, in + main() + File "/src\lwc\experiments\valid_eval.py", line 195, in main + nll = window_nlls(model, W, dev) + ^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context + return func(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^ + File "/src\lwc\experiments\valid_eval.py", line 81, in window_nlls + r = model(x, labels=x) + ^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl + return forward_call(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\utils\generic.py", line 939, in wrapper + output = func(self, *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\models\qwen2\modeling_qwen2.py", line 452, in forward + outputs: BaseModelOutputWithPast = self.model( + ^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl + return forward_call(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\utils\generic.py", line 1068, in wrapper + output = func(self, *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\utils\output_capturing.py", line 262, in wrapper + outputs = func(self, *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\models\qwen2\modeling_qwen2.py", line 388, in forward + hidden_states = decoder_layer( + ^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\modeling_layers.py", line 114, in __call__ + return super().__call__(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl + return forward_call(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\models\qwen2\modeling_qwen2.py", line 282, in forward + hidden_states, _ = self.self_attn( + ^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl + return forward_call(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\models\qwen2\modeling_qwen2.py", line 220, in forward + attn_output, attn_weights = attention_interface( + ^^^^^^^^^^^^^^^^^^^^ + File "/.venv\Lib\site-packages\transformers\integrations\sdpa_attention.py", line 158, in sdpa_attention_forward + attn_output = torch.nn.functional.scaled_dot_product_attention( + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +RuntimeError: CUDA error: out of memory +CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. +For debugging consider passing CUDA_LAUNCH_BLOCKING=1 +Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. + +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 (last modified on Wed Sep 2 10:55:36 2026). +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 171s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 585s + layer 0/23 peak 2051 MiB opt 86s + layer 8/23 peak 2449 MiB opt 1086s + layer 16/23 peak 2843 MiB opt 2230s + layer 23/23 peak 3189 MiB opt 3346s +module bpw 3.2500 | NLL wt2 2.89090 c4 3.37288 | KL 0.33473 | 3590s + layer 0/23 peak 2726 MiB opt 129s + layer 8/23 peak 2892 MiB opt 1463s + layer 16/23 peak 3055 MiB opt 2712s + layer 23/23 peak 3197 MiB opt 3808s +block bpw 3.2500 | NLL wt2 2.90027 c4 3.37572 | KL 0.33953 | 4008s diff --git a/evidence/validation/valid_qwen05_s1.jsonl b/evidence/validation/valid_qwen05_s1.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05656f414ccfa03dee1eb5e1d53d464c5e181dc9 --- /dev/null +++ b/evidence/validation/valid_qwen05_s1.jsonl @@ -0,0 +1,14 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 1, 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2048, "arm": "block", "bpw": 3.2500150240384613, "flips": {"q_proj": 0.025192779748618197, "depth0": 0.0290142576336424, "k_proj": 0.03256879534040179, "v_proj": 0.025977361769903274, "o_proj": 0.015460319259539753, "gate_proj": 0.03817375202226758, "up_proj": 0.031556504710873866, "down_proj": 0.0206565761327146, "depth1": 0.03378949846540179, "depth2": 0.029789705940218635, "depth3": 0.023647076393658425}, "obj_ratio": 0.8976164797320944, "obj_fresh": 0.8072483497651854, "quant_s": 3866.008278608322, "opt_s": 3671.083981990814, "scope_s": 24.927095413208008, "peak_vram_mib": 3196.017578125, "nll_wt2": 2.8855641721046132, "nll_c4": 3.386878933524713, "kl_fp16": 0.33694976693368517} diff --git a/evidence/validation/valid_qwen05_s1.log b/evidence/validation/valid_qwen05_s1.log new file mode 100644 index 0000000000000000000000000000000000000000..1df2b157ffae4334fc9552dc46e420d66e8a9b9a --- /dev/null +++ b/evidence/validation/valid_qwen05_s1.log @@ -0,0 +1,28 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 (last modified on Wed Sep 2 10:55:36 2026). +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 170s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 571s + layer 0/23 peak 1797 MiB opt 0s + layer 8/23 peak 1964 MiB opt 0s + layer 16/23 peak 2124 MiB opt 0s + layer 23/23 peak 2264 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.91023 c4 3.41334 | KL 0.36057 | 140s + layer 0/23 peak 1800 MiB opt 18s + layer 8/23 peak 1964 MiB opt 160s + layer 16/23 peak 2125 MiB opt 313s + layer 23/23 peak 2264 MiB opt 443s +layer bpw 3.2500 | NLL wt2 2.90791 c4 3.40848 | KL 0.36242 | 581s + layer 0/23 peak 2051 MiB opt 123s + layer 8/23 peak 2449 MiB opt 1148s + layer 16/23 peak 2846 MiB opt 2110s + layer 23/23 peak 3191 MiB opt 2931s +module bpw 3.2500 | NLL wt2 2.87893 c4 3.37822 | KL 0.33171 | 3167s + layer 0/23 peak 2727 MiB opt 130s + layer 8/23 peak 2894 MiB opt 1403s + layer 16/23 peak 3055 MiB opt 2619s + layer 23/23 peak 3196 MiB opt 3671s +block bpw 3.2500 | NLL wt2 2.88556 c4 3.38688 | KL 0.33695 | 3866s diff --git a/evidence/validation/valid_qwen05_s2.jsonl b/evidence/validation/valid_qwen05_s2.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..828aa2dcd008dd88584f686a71a8a9153843ee1b --- /dev/null +++ b/evidence/validation/valid_qwen05_s2.jsonl @@ -0,0 +1,14 @@ +{"model": "Qwen/Qwen2.5-0.5B", "calib_seed": 2, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [2.2355058193206787, 2.7043349742889404, 2.945390462875366, 2.8307769298553467, 2.4806771278381348, 2.1129138469696045, 1.8629381656646729, 2.4300036430358887, 2.6552188396453857, 2.7108023166656494, 2.5188474655151367, 2.602569580078125, 2.4638702869415283, 2.6709907054901123, 2.6241302490234375, 2.7532413005828857, 2.8749887943267822, 2.6796998977661133, 2.4261906147003174, 2.2508156299591064, 2.560035228729248, 2.842288017272949, 2.553807497024536, 2.6848225593566895, 2.6881017684936523, 2.7572011947631836, 2.805248975753784, 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3.3950252279173583, "kl_fp16": 0.34613396984059364} diff --git a/evidence/validation/valid_qwen05_s2.log b/evidence/validation/valid_qwen05_s2.log new file mode 100644 index 0000000000000000000000000000000000000000..9bda1029ef927f79752ded6ea4ea4fc77e377a91 --- /dev/null +++ b/evidence/validation/valid_qwen05_s2.log @@ -0,0 +1,28 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/290 [00:00 (last modified on Wed Sep 2 10:55:36 2026). +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.57033 (ppl 13.0701) 170s +fp16 c4 mean NLL 3.04346 (ppl 20.9777) 568s + layer 0/23 peak 1797 MiB opt 0s + layer 8/23 peak 1964 MiB opt 0s + layer 16/23 peak 2124 MiB opt 0s + layer 23/23 peak 2264 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.92000 c4 3.42410 | KL 0.37394 | 138s + layer 0/23 peak 1800 MiB opt 17s + layer 8/23 peak 1964 MiB opt 155s + layer 16/23 peak 2125 MiB opt 293s + layer 23/23 peak 2264 MiB opt 418s +layer bpw 3.2500 | NLL wt2 2.91710 c4 3.42334 | KL 0.37767 | 549s + layer 0/23 peak 2051 MiB opt 87s + layer 8/23 peak 2449 MiB opt 1005s + layer 16/23 peak 2846 MiB opt 1935s + layer 23/23 peak 3191 MiB opt 2730s +module bpw 3.2500 | NLL wt2 2.89945 c4 3.40326 | KL 0.35316 | 2939s + layer 0/23 peak 2727 MiB opt 126s + layer 8/23 peak 2894 MiB opt 1407s + layer 16/23 peak 3055 MiB opt 2630s + layer 23/23 peak 3196 MiB opt 3659s +block bpw 3.2500 | NLL wt2 2.89056 c4 3.39503 | KL 0.34613 | 3856s diff --git a/evidence/validation/valid_qwen15_s0.jsonl b/evidence/validation/valid_qwen15_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1adbee196c073db01151cab374fefac741117c38 --- /dev/null +++ b/evidence/validation/valid_qwen15_s0.jsonl @@ -0,0 +1,14 @@ +{"model": "Qwen/Qwen2.5-1.5B", "calib_seed": 0, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [1.9421778917312622, 2.346499443054199, 2.5705602169036865, 2.3958442211151123, 2.146455764770508, 1.7245042324066162, 1.5329445600509644, 2.073718309402466, 2.2288691997528076, 2.3542957305908203, 2.199380874633789, 2.2038769721984863, 2.1988015174865723, 2.317188262939453, 2.258962869644165, 2.3509976863861084, 2.5671815872192383, 2.3339085578918457, 2.1671414375305176, 2.000408887863159, 2.1895675659179688, 2.416870594024658, 2.2052111625671387, 2.3258438110351562, 2.3219316005706787, 2.376234292984009, 2.456545829772949, 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"obj_fresh_before": 842.7561020664871, "obj_fresh_after": 743.5570799913257, "quant_s": 12253.020493030548, "opt_s": 11703.223889827728, "scope_s": 15.372130632400513, "peak_vram_mib": 10038.310546875, "nll_wt2": 2.570891016150174, "nll_c4": 3.0656011792598292, "kl_fp16": 0.3636403898417484} diff --git a/evidence/validation/valid_qwen15_s0.log b/evidence/validation/valid_qwen15_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..cd944f9f11b13e5cfacfc69f2a55c1d3df4b9e3c --- /dev/null +++ b/evidence/validation/valid_qwen15_s0.log @@ -0,0 +1,30 @@ + Loading weights: 0%| | 0/338 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.22623 (ppl 9.2649) 24s +fp16 c4 mean NLL 2.74330 (ppl 15.5382) 75s + layer 0/27 peak 5703 MiB opt 0s + layer 8/27 peak 6029 MiB opt 0s + layer 16/27 peak 6349 MiB opt 0s + layer 24/27 peak 6669 MiB opt 0s + layer 27/27 peak 6789 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.55340 c4 3.05028 | KL 0.35106 | 493s + layer 0/27 peak 5712 MiB opt 69s + layer 8/27 peak 6038 MiB opt 629s + layer 16/27 peak 6358 MiB opt 1183s + layer 24/27 peak 6678 MiB opt 1728s + layer 27/27 peak 6798 MiB opt 1924s +layer bpw 3.2500 | NLL wt2 2.55930 c4 3.06778 | KL 0.35868 | 2411s + layer 0/27 peak 6514 MiB opt 205s + layer 8/27 peak 7558 MiB opt 2473s + layer 16/27 peak 8598 MiB opt 4983s + layer 24/27 peak 9639 MiB opt 7426s + layer 27/27 peak 10029 MiB opt 8316s +module bpw 3.2500 | NLL wt2 2.56162 c4 3.06280 | KL 0.35835 | 8864s + layer 0/27 peak 8954 MiB opt 311s + layer 8/27 peak 9278 MiB opt 3719s + layer 16/27 peak 9598 MiB opt 7147s + layer 24/27 peak 9918 MiB opt 10481s + layer 27/27 peak 10038 MiB opt 11703s +block bpw 3.2500 | NLL wt2 2.57089 c4 3.06560 | KL 0.36364 | 12253s diff --git a/evidence/validation/valid_qwen15_s1.jsonl b/evidence/validation/valid_qwen15_s1.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..032ad3995f878fc227ef8ba289018d445eca2139 --- /dev/null +++ b/evidence/validation/valid_qwen15_s1.jsonl @@ -0,0 +1,10 @@ +{"model": "Qwen/Qwen2.5-1.5B", "calib_seed": 1, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [1.9421778917312622, 2.346499443054199, 2.5705602169036865, 2.3958442211151123, 2.146455764770508, 1.7245042324066162, 1.5329445600509644, 2.073718309402466, 2.2288691997528076, 2.3542957305908203, 2.199380874633789, 2.2038769721984863, 2.1988015174865723, 2.317188262939453, 2.258962869644165, 2.3509976863861084, 2.5671815872192383, 2.3339085578918457, 2.1671414375305176, 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Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/338 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.22623 (ppl 9.2649) 22s +fp16 c4 mean NLL 2.74330 (ppl 15.5382) 71s + layer 0/27 peak 5703 MiB opt 0s + layer 8/27 peak 6029 MiB opt 0s + layer 16/27 peak 6349 MiB opt 0s + layer 24/27 peak 6669 MiB opt 0s + layer 27/27 peak 6789 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.54538 c4 3.05928 | KL 0.34717 | 472s + layer 0/27 peak 5712 MiB opt 64s + layer 8/27 peak 6038 MiB opt 580s + layer 16/27 peak 6358 MiB opt 1098s + layer 24/27 peak 6678 MiB opt 1618s + layer 27/27 peak 6798 MiB opt 1812s +layer bpw 3.2500 | NLL wt2 2.54818 c4 3.06171 | KL 0.34825 | 2270s + layer 0/27 peak 6514 MiB opt 220s + layer 8/27 peak 7558 MiB opt 2987s +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/root/lwc/repo/src/lwc/experiments/valid_eval.py", line 218, in + main() + File "/root/lwc/repo/src/lwc/experiments/valid_eval.py", line 190, in main + info = quantize_sequential_joint(model, tok, cfg, args) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/venv/main/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context + return func(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^ + File "/root/lwc/repo/src/lwc/experiments/joint_ppl.py", line 215, in quantize_sequential_joint + Gd = rp.left.rotate_hessian(Gd) + ^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/root/lwc/repo/src/lwc/rotate.py", line 122, in rotate_hessian + return self.apply(self.apply(H).T.contiguous()) + ^^^^^^^^^^^^^ + File "/root/lwc/repo/src/lwc/rotate.py", line 81, in apply + Y = _block_hadamard(Y * s, self.block) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/root/lwc/repo/src/lwc/rotate.py", line 48, in _block_hadamard + Y = hadamard_transform(Y, dim=-1) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/venv/main/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context + return func(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^ + File "/root/lwc/repo/src/lwc/codecs/rotation.py", line 45, in hadamard_transform + Y = torch.stack([a + b, a - b], dim=2) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 308.00 MiB. GPU 0 has a total capacity of 31.37 GiB of which 230.88 MiB is free. Including non-PyTorch memory, this process has 7.63 GiB memory in use. Process 4047936 has 11.78 GiB memory in use. Process 4050136 has 11.71 GiB memory in use. Of the allocated memory 6.22 GiB is allocated by PyTorch, and 760.35 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf) +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/338 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.22623 (ppl 9.2649) 23s +fp16 c4 mean NLL 2.74330 (ppl 15.5382) 72s + layer 0/27 peak 6511 MiB opt 211s diff --git a/evidence/validation/valid_qwen15_s1b.jsonl b/evidence/validation/valid_qwen15_s1b.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..24a5caaab83e6e10ed155f738eda0d919c938db3 --- /dev/null +++ b/evidence/validation/valid_qwen15_s1b.jsonl @@ -0,0 +1,8 @@ +{"model": "Qwen/Qwen2.5-1.5B", "calib_seed": 1, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [1.9421778917312622, 2.346499443054199, 2.5705602169036865, 2.3958442211151123, 2.146455764770508, 1.7245042324066162, 1.5329445600509644, 2.073718309402466, 2.2288691997528076, 2.3542957305908203, 2.199380874633789, 2.2038769721984863, 2.1988015174865723, 2.317188262939453, 2.258962869644165, 2.3509976863861084, 2.5671815872192383, 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Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/338 [00:00 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 2.22623 (ppl 9.2649) 22s +fp16 c4 mean NLL 2.74330 (ppl 15.5382) 71s + layer 0/27 peak 5678 MiB opt 0s + layer 8/27 peak 5940 MiB opt 0s + layer 16/27 peak 6196 MiB opt 0s + layer 24/27 peak 6452 MiB opt 0s + layer 27/27 peak 6548 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 2.54538 c4 3.05928 | KL 0.34717 | 393s + layer 0/27 peak 6137 MiB opt 220s + layer 8/27 peak 7113 MiB opt 3266s + layer 16/27 peak 8083 MiB opt 6329s + layer 24/27 peak 9054 MiB opt 8960s + layer 27/27 peak 9417 MiB opt 9819s +module bpw 3.2500 | NLL wt2 2.54872 c4 3.07401 | KL 0.35716 | 10225s diff --git a/evidence/validation/valid_qwen3_06b_s0.jsonl b/evidence/validation/valid_qwen3_06b_s0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5415229ba3697f122424056643b4b85878b1e8f9 --- /dev/null +++ b/evidence/validation/valid_qwen3_06b_s0.jsonl @@ 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0.0173133271081107, "depth0": 0.022170257568359376, "k_proj": 0.017573560987200056, "v_proj": 0.017314434051513672, "o_proj": 0.008450525147574288, "gate_proj": 0.027989273979550318, "up_proj": 0.026768343789236888, "down_proj": 0.014290934517270043, "depth1": 0.022043091910226003, "depth2": 0.01846073695591518, "depth3": 0.015608941941034226}, "obj_ratio": 0.8629801146054816, "obj_fresh": 0.8595662915860328, "obj_fresh_before": 7308.265899438411, "obj_fresh_after": 6968.739023040049, "quant_s": 4201.205669879913, "opt_s": 3965.2986171245575, "scope_s": 43.31903958320618, "peak_vram_mib": 7101.8203125, "nll_wt2": 3.5155065614883214, "nll_c4": 3.927712678676471, "kl_fp16": 0.5980190374539234} diff --git a/evidence/validation/valid_qwen3_06b_s0.log b/evidence/validation/valid_qwen3_06b_s0.log new file mode 100644 index 0000000000000000000000000000000000000000..86c06f2f70dcabb825d1455569e1619f576eaa8b --- /dev/null +++ b/evidence/validation/valid_qwen3_06b_s0.log @@ -0,0 +1,20 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/311 [00:00/.venv\Lib\site-packages\torch\nn\modules\module.py:1329: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:28.) + return t.to( +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 3.04236 (ppl 20.9547) 249s +fp16 c4 mean NLL 3.43955 (ppl 31.1730) 845s + layer 0/27 peak 1634 MiB opt 0s + layer 8/27 peak 2914 MiB opt 0s + layer 16/27 peak 4194 MiB opt 0s + layer 24/27 peak 5474 MiB opt 0s + layer 27/27 peak 5954 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 3.55765 c4 3.94043 | KL 0.62082 | 138s + layer 0/27 peak 1932 MiB opt 79s + layer 8/27 peak 3492 MiB opt 1166s + layer 16/27 peak 5012 MiB opt 2327s + layer 24/27 peak 6532 MiB opt 3521s + layer 27/27 peak 7102 MiB opt 3965s +module bpw 3.2500 | NLL wt2 3.51551 c4 3.92771 | KL 0.59802 | 4201s diff --git a/evidence/validation/valid_qwen3_06b_s1.jsonl b/evidence/validation/valid_qwen3_06b_s1.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..036c7b8d508f661fe7c4312f9c21b83a22ada6e9 --- /dev/null +++ b/evidence/validation/valid_qwen3_06b_s1.jsonl @@ -0,0 +1,8 @@ +{"model": "Qwen/Qwen3-0.6B", "calib_seed": 1, "seqlen": 2048, "arm": "fp16", "eval": "wt2", "nlls": [2.652404308319092, 3.2124640941619873, 3.4076192378997803, 3.3263633251190186, 2.952148675918579, 2.4434399604797363, 2.203125476837158, 2.8520164489746094, 3.162274122238159, 3.2431747913360596, 3.061918258666992, 3.130964756011963, 2.9575438499450684, 3.1550955772399902, 3.1017162799835205, 3.209771156311035, 3.4193859100341797, 3.1405913829803467, 2.8621058464050293, 2.686208724975586, 3.0186710357666016, 3.3529489040374756, 2.974097490310669, 3.235326051712036, 3.156029224395752, 3.298626661300659, 3.2874739170074463, 3.5096628665924072, 3.133176326751709, 2.8818750381469727, 2.8442537784576416, 2.787179470062256, 2.5434510707855225, 2.9714913368225098, 2.807466506958008, 2.8963449001312256, 2.5541696548461914, 2.48758864402771, 2.6231298446655273, 2.373302459716797, 2.6895394325256348, 3.1110317707061768, 3.4865026473999023, 3.6490490436553955, 3.5369527339935303, 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0.01751218523297991, "v_proj": 0.01734427043369838, "o_proj": 0.008407899311610631, "gate_proj": 0.027725197020031157, "up_proj": 0.02636951491946266, "down_proj": 0.01461225464230492, "depth1": 0.022390401931036086, "depth2": 0.018376023428780693, "depth3": 0.015108390081496465}, "obj_ratio": 0.8631809100588308, "obj_fresh": 0.8595729381231316, "obj_fresh_before": 6831.142342499457, "obj_fresh_after": 6517.272157824598, "quant_s": 4226.765408277512, "opt_s": 3951.8103020191193, "scope_s": 43.15740346908569, "peak_vram_mib": 7101.8203125, "nll_wt2": 3.4941398623871476, "nll_c4": 3.984278676798567, "kl_fp16": 0.6263925671228208} diff --git a/evidence/validation/valid_qwen3_06b_s1.log b/evidence/validation/valid_qwen3_06b_s1.log new file mode 100644 index 0000000000000000000000000000000000000000..344da8885b64c3726a6efb4a946fef2f31046ac9 --- /dev/null +++ b/evidence/validation/valid_qwen3_06b_s1.log @@ -0,0 +1,20 @@ +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. + Loading weights: 0%| | 0/311 [00:00/.venv\Lib\site-packages\torch\nn\modules\module.py:1329: UserWarning: expandable_segments not supported on this platform (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10/cuda/CUDAAllocatorConfig.h:28.) + return t.to( +[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (299078 > 131072). Running this sequence through the model will result in indexing errors +eval sets: wt2 146 windows, c4 512 windows, kl 64 windows +fp16 wt2 mean NLL 3.04236 (ppl 20.9547) 248s +fp16 c4 mean NLL 3.43955 (ppl 31.1730) 837s + layer 0/27 peak 1634 MiB opt 0s + layer 8/27 peak 2914 MiB opt 0s + layer 16/27 peak 4194 MiB opt 0s + layer 24/27 peak 5474 MiB opt 0s + layer 27/27 peak 5954 MiB opt 0s +gptq bpw 3.2500 | NLL wt2 3.52793 c4 3.95627 | KL 0.62516 | 146s + layer 0/27 peak 1932 MiB opt 72s + layer 8/27 peak 3492 MiB opt 1207s + layer 16/27 peak 5012 MiB opt 2422s + layer 24/27 peak 6532 MiB opt 3515s + layer 27/27 peak 7102 MiB opt 3952s +module bpw 3.2500 | NLL wt2 3.49414 c4 3.98428 | KL 0.62639 | 4226s