measurement.json

README.md

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+---
+license: apache-2.0
+datasets:
+- PrimeIntellect/fineweb-edu
+- PrimeIntellect/fineweb
+- PrimeIntellect/StackV1-popular
+- mlfoundations/dclm-baseline-1.0-parquet
+- open-web-math/open-web-math
+- arcee-ai/EvolKit-75K
+- arcee-ai/Llama-405B-Logits
+- arcee-ai/The-Tomb
+- mlabonne/open-perfectblend-fixed
+- microsoft/orca-agentinstruct-1M-v1-cleaned
+- Post-training-Data-Flywheel/AutoIF-instruct-61k-with-funcs
+- Team-ACE/ToolACE
+- Synthia-coder
+- ServiceNow-AI/M2Lingual
+- AI-MO/NuminaMath-TIR
+- allenai/tulu-3-sft-personas-code
+- allenai/tulu-3-sft-personas-math
+- allenai/tulu-3-sft-personas-math-grade
+- allenai/tulu-3-sft-personas-algebra
+language:
+- en
+base_model:
+- PrimeIntellect/INTELLECT-1
+pipeline_tag: text-generation
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of INTELLECT-1-Instruct
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.4">turboderp's ExLlamaV2 v0.2.4</a> for quantization.
+
+<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+
+Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+
+Original model: https://huggingface.co/PrimeIntellect/INTELLECT-1-Instruct
+
+## Prompt format
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+
+```
+
+## Available sizes
+
+| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
+| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
+| [8_0](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/8_0) | 8.0 | 8.0 | 11.9 GB | 13.3 GB | 15.3 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/6_5) | 6.5 | 8.0 | 10.3 GB | 11.7 GB | 13.7 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
+| [5_0](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/5_0) | 5.0 | 6.0 | 8.3 GB | 9.7 GB | 11.7 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
+| [4_25](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/4_25) | 4.25 | 6.0 | 7.4 GB | 8.6 GB | 10.6 GB | GPTQ equivalent bits per weight, slightly higher quality. |
+| [3_5](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/3_5) | 3.5 | 6.0 | 6.4 GB | 7.8 GB | 9.8 GB | Lower quality, only use if you have to. |
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2 INTELLECT-1-Instruct-exl2-6_5
+```
+
+With huggingface hub (credit to TheBloke for instructions):
+
+```shell
+pip3 install huggingface-hub
+```
+
+To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
+
+Linux:
+
+```shell
+huggingface-cli download bartowski/INTELLECT-1-Instruct-exl2 --revision 6_5 --local-dir INTELLECT-1-Instruct-exl2-6_5
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+huggingface-cli download bartowski/INTELLECT-1-Instruct-exl2 --revision 6_5 --local-dir INTELLECT-1-Instruct-exl2-6.5
+```
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski