Create README.md
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README.md
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| 1 |
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---
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license: other
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license_name: nvidia-open-model-license
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license_link: >-
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https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf
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inference: false
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fine-tuning: false
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tags:
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- vllm
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base_model: nvidia/Nemotron-4-340B-Instruct
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---
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## Nemotron-4-340B-Instruct-hf
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Converted checkpoint of [nvidia/Nemotron-4-340B-Instruct](https://huggingface.co/nvidia/Nemotron-4-340B-Instruct). Specifically it was produced from the [v1.0 .nemo checkpoint on NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/nemotron-4-340b-instruct/files).
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You can deploy this model with `vllm>=0.5.4` ([PR#6611](https://github.com/vllm-project/vllm/pull/6611)):
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```
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vllm serve mgoin/Nemotron-4-340B-Instruct-hf --tensor-parallel-size 16
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```
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### Evaluations
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All the below evaluations were run with the [FP8 checkpoint](https://huggingface.co/mgoin/Nemotron-4-340B-Instruct-hf-FP8) using `lm-eval==0.4.3` on 8xA100 GPUs.
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```
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lm_eval --model vllm --model_args pretrained=/home/mgoin/code/Nemotron-4-340B-Instruct-hf-FP8,tensor_parallel_size=8,distributed_executor_backend="ray",gpu_memory_utilization=0.6,enforce_eager=True --tasks mmlu --num_fewshot 0 --batch_size 4
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vllm (pretrained=/home/mgoin/code/Nemotron-4-340B-Instruct-hf-FP8,tensor_parallel_size=8,distributed_executor_backend=ray,gpu_memory_utilization=0.6,enforce_eager=True), gen_kwargs: (None), limit: None, num_fewshot: 0, batch_size: 4
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| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|
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| 30 |
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|---------------------------------------|-------|------|-----:|------|---|-----:|---|-----:|
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| 31 |
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|mmlu |N/A |none | 0|acc |↑ |0.7905|± |0.0033|
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| 32 |
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| - abstract_algebra | 0|none | 0|acc |↑ |0.5100|± |0.0502|
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| 33 |
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| - anatomy | 0|none | 0|acc |↑ |0.8074|± |0.0341|
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| 34 |
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| - astronomy | 0|none | 0|acc |↑ |0.8816|± |0.0263|
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| 35 |
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| - business_ethics | 0|none | 0|acc |↑ |0.7300|± |0.0446|
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| 36 |
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| - clinical_knowledge | 0|none | 0|acc |↑ |0.8453|± |0.0223|
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| 37 |
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| - college_biology | 0|none | 0|acc |↑ |0.9236|± |0.0222|
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| 38 |
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| - college_chemistry | 0|none | 0|acc |↑ |0.5300|± |0.0502|
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| 39 |
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| - college_computer_science | 0|none | 0|acc |↑ |0.7400|± |0.0441|
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| 40 |
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| - college_mathematics | 0|none | 0|acc |↑ |0.4500|± |0.0500|
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| 41 |
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| - college_medicine | 0|none | 0|acc |↑ |0.7630|± |0.0324|
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| 42 |
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| - college_physics | 0|none | 0|acc |↑ |0.5490|± |0.0495|
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| 43 |
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| - computer_security | 0|none | 0|acc |↑ |0.8300|± |0.0378|
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| 44 |
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| - conceptual_physics | 0|none | 0|acc |↑ |0.8043|± |0.0259|
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| 45 |
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| - econometrics | 0|none | 0|acc |↑ |0.7105|± |0.0427|
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| 46 |
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| - electrical_engineering | 0|none | 0|acc |↑ |0.7448|± |0.0363|
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| - elementary_mathematics | 0|none | 0|acc |↑ |0.6667|± |0.0243|
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| 48 |
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| - formal_logic | 0|none | 0|acc |↑ |0.5952|± |0.0439|
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| - global_facts | 0|none | 0|acc |↑ |0.4900|± |0.0502|
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| 50 |
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| - high_school_biology | 0|none | 0|acc |↑ |0.9097|± |0.0163|
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| - high_school_chemistry | 0|none | 0|acc |↑ |0.7143|± |0.0318|
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| - high_school_computer_science | 0|none | 0|acc |↑ |0.9100|± |0.0288|
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| - high_school_european_history | 0|none | 0|acc |↑ |0.8788|± |0.0255|
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| - high_school_geography | 0|none | 0|acc |↑ |0.9242|± |0.0189|
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| - high_school_government_and_politics| 0|none | 0|acc |↑ |0.9845|± |0.0089|
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| - high_school_macroeconomics | 0|none | 0|acc |↑ |0.8333|± |0.0189|
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| - high_school_mathematics | 0|none | 0|acc |↑ |0.4630|± |0.0304|
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| - high_school_microeconomics | 0|none | 0|acc |↑ |0.8824|± |0.0209|
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| - high_school_physics | 0|none | 0|acc |↑ |0.6159|± |0.0397|
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| - high_school_psychology | 0|none | 0|acc |↑ |0.9394|± |0.0102|
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| - high_school_statistics | 0|none | 0|acc |↑ |0.7639|± |0.0290|
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| - high_school_us_history | 0|none | 0|acc |↑ |0.9412|± |0.0165|
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| - high_school_world_history | 0|none | 0|acc |↑ |0.9409|± |0.0153|
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| - human_aging | 0|none | 0|acc |↑ |0.8072|± |0.0265|
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| - human_sexuality | 0|none | 0|acc |↑ |0.8855|± |0.0279|
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| - humanities |N/A |none | 0|acc |↑ |0.7594|± |0.0060|
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| - international_law | 0|none | 0|acc |↑ |0.9091|± |0.0262|
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| - jurisprudence | 0|none | 0|acc |↑ |0.8704|± |0.0325|
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| - logical_fallacies | 0|none | 0|acc |↑ |0.8528|± |0.0278|
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| - machine_learning | 0|none | 0|acc |↑ |0.6786|± |0.0443|
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| - management | 0|none | 0|acc |↑ |0.8641|± |0.0339|
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| - marketing | 0|none | 0|acc |↑ |0.9359|± |0.0160|
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| - medical_genetics | 0|none | 0|acc |↑ |0.8400|± |0.0368|
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| - miscellaneous | 0|none | 0|acc |↑ |0.9221|± |0.0096|
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| - moral_disputes | 0|none | 0|acc |↑ |0.8382|± |0.0198|
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| - moral_scenarios | 0|none | 0|acc |↑ |0.6168|± |0.0163|
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| - nutrition | 0|none | 0|acc |↑ |0.8791|± |0.0187|
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| 78 |
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| - other |N/A |none | 0|acc |↑ |0.8214|± |0.0065|
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| 79 |
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| - philosophy | 0|none | 0|acc |↑ |0.8521|± |0.0202|
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| - prehistory | 0|none | 0|acc |↑ |0.8796|± |0.0181|
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| - professional_accounting | 0|none | 0|acc |↑ |0.6383|± |0.0287|
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| 82 |
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| - professional_law | 0|none | 0|acc |↑ |0.6838|± |0.0119|
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| 83 |
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| - professional_medicine | 0|none | 0|acc |↑ |0.8824|± |0.0196|
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| 84 |
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| - professional_psychology | 0|none | 0|acc |↑ |0.8611|± |0.0140|
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| 85 |
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| - public_relations | 0|none | 0|acc |↑ |0.8000|± |0.0383|
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| 86 |
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| - security_studies | 0|none | 0|acc |↑ |0.8204|± |0.0246|
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| 87 |
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| - social_sciences |N/A |none | 0|acc |↑ |0.8811|± |0.0057|
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| 88 |
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| - sociology | 0|none | 0|acc |↑ |0.9055|± |0.0207|
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| 89 |
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| - stem |N/A |none | 0|acc |↑ |0.7180|± |0.0076|
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| 90 |
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| - us_foreign_policy | 0|none | 0|acc |↑ |0.9600|± |0.0197|
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| 91 |
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| - virology | 0|none | 0|acc |↑ |0.5482|± |0.0387|
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| 92 |
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| - world_religions | 0|none | 0|acc |↑ |0.9006|± |0.0229|
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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| 95 |
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|------------------|-------|------|-----:|------|---|-----:|---|-----:|
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| 96 |
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|mmlu |N/A |none | 0|acc |↑ |0.7905|± |0.0033|
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| 97 |
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| - humanities |N/A |none | 0|acc |↑ |0.7594|± |0.0060|
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| 98 |
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| - other |N/A |none | 0|acc |↑ |0.8214|± |0.0065|
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| 99 |
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| - social_sciences|N/A |none | 0|acc |↑ |0.8811|± |0.0057|
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| 100 |
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| - stem |N/A |none | 0|acc |↑ |0.7180|± |0.0076|
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```
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The [original paper](https://d1qx31qr3h6wln.cloudfront.net/publications/Nemotron_4_340B_8T_0.pdf) evals for reference:
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