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---
license: other
license_name: nvidia-open-model-license
license_link: >-
https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf
inference: false
fine-tuning: false
tags:
- vllm
base_model: nvidia/Nemotron-4-340B-Instruct
---
## Nemotron-4-340B-Instruct-hf
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).
You can deploy this model with `vllm>=0.5.4` ([PR#6611](https://github.com/vllm-project/vllm/pull/6611)):
```
vllm serve mgoin/Nemotron-4-340B-Instruct-hf --tensor-parallel-size 16
```
### Evaluations
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.
```
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
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
| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|
|---------------------------------------|-------|------|-----:|------|---|-----:|---|-----:|
|mmlu |N/A |none | 0|acc |↑ |0.7905|± |0.0033|
| - abstract_algebra | 0|none | 0|acc |↑ |0.5100|± |0.0502|
| - anatomy | 0|none | 0|acc |↑ |0.8074|± |0.0341|
| - astronomy | 0|none | 0|acc |↑ |0.8816|± |0.0263|
| - business_ethics | 0|none | 0|acc |↑ |0.7300|± |0.0446|
| - clinical_knowledge | 0|none | 0|acc |↑ |0.8453|± |0.0223|
| - college_biology | 0|none | 0|acc |↑ |0.9236|± |0.0222|
| - college_chemistry | 0|none | 0|acc |↑ |0.5300|± |0.0502|
| - college_computer_science | 0|none | 0|acc |↑ |0.7400|± |0.0441|
| - college_mathematics | 0|none | 0|acc |↑ |0.4500|± |0.0500|
| - college_medicine | 0|none | 0|acc |↑ |0.7630|± |0.0324|
| - college_physics | 0|none | 0|acc |↑ |0.5490|± |0.0495|
| - computer_security | 0|none | 0|acc |↑ |0.8300|± |0.0378|
| - conceptual_physics | 0|none | 0|acc |↑ |0.8043|± |0.0259|
| - econometrics | 0|none | 0|acc |↑ |0.7105|± |0.0427|
| - electrical_engineering | 0|none | 0|acc |↑ |0.7448|± |0.0363|
| - elementary_mathematics | 0|none | 0|acc |↑ |0.6667|± |0.0243|
| - formal_logic | 0|none | 0|acc |↑ |0.5952|± |0.0439|
| - global_facts | 0|none | 0|acc |↑ |0.4900|± |0.0502|
| - high_school_biology | 0|none | 0|acc |↑ |0.9097|± |0.0163|
| - high_school_chemistry | 0|none | 0|acc |↑ |0.7143|± |0.0318|
| - high_school_computer_science | 0|none | 0|acc |↑ |0.9100|± |0.0288|
| - high_school_european_history | 0|none | 0|acc |↑ |0.8788|± |0.0255|
| - high_school_geography | 0|none | 0|acc |↑ |0.9242|± |0.0189|
| - high_school_government_and_politics| 0|none | 0|acc |↑ |0.9845|± |0.0089|
| - high_school_macroeconomics | 0|none | 0|acc |↑ |0.8333|± |0.0189|
| - high_school_mathematics | 0|none | 0|acc |↑ |0.4630|± |0.0304|
| - high_school_microeconomics | 0|none | 0|acc |↑ |0.8824|± |0.0209|
| - high_school_physics | 0|none | 0|acc |↑ |0.6159|± |0.0397|
| - high_school_psychology | 0|none | 0|acc |↑ |0.9394|± |0.0102|
| - high_school_statistics | 0|none | 0|acc |↑ |0.7639|± |0.0290|
| - high_school_us_history | 0|none | 0|acc |↑ |0.9412|± |0.0165|
| - high_school_world_history | 0|none | 0|acc |↑ |0.9409|± |0.0153|
| - human_aging | 0|none | 0|acc |↑ |0.8072|± |0.0265|
| - human_sexuality | 0|none | 0|acc |↑ |0.8855|± |0.0279|
| - humanities |N/A |none | 0|acc |↑ |0.7594|± |0.0060|
| - international_law | 0|none | 0|acc |↑ |0.9091|± |0.0262|
| - jurisprudence | 0|none | 0|acc |↑ |0.8704|± |0.0325|
| - logical_fallacies | 0|none | 0|acc |↑ |0.8528|± |0.0278|
| - machine_learning | 0|none | 0|acc |↑ |0.6786|± |0.0443|
| - management | 0|none | 0|acc |↑ |0.8641|± |0.0339|
| - marketing | 0|none | 0|acc |↑ |0.9359|± |0.0160|
| - medical_genetics | 0|none | 0|acc |↑ |0.8400|± |0.0368|
| - miscellaneous | 0|none | 0|acc |↑ |0.9221|± |0.0096|
| - moral_disputes | 0|none | 0|acc |↑ |0.8382|± |0.0198|
| - moral_scenarios | 0|none | 0|acc |↑ |0.6168|± |0.0163|
| - nutrition | 0|none | 0|acc |↑ |0.8791|± |0.0187|
| - other |N/A |none | 0|acc |↑ |0.8214|± |0.0065|
| - philosophy | 0|none | 0|acc |↑ |0.8521|± |0.0202|
| - prehistory | 0|none | 0|acc |↑ |0.8796|± |0.0181|
| - professional_accounting | 0|none | 0|acc |↑ |0.6383|± |0.0287|
| - professional_law | 0|none | 0|acc |↑ |0.6838|± |0.0119|
| - professional_medicine | 0|none | 0|acc |↑ |0.8824|± |0.0196|
| - professional_psychology | 0|none | 0|acc |↑ |0.8611|± |0.0140|
| - public_relations | 0|none | 0|acc |↑ |0.8000|± |0.0383|
| - security_studies | 0|none | 0|acc |↑ |0.8204|± |0.0246|
| - social_sciences |N/A |none | 0|acc |↑ |0.8811|± |0.0057|
| - sociology | 0|none | 0|acc |↑ |0.9055|± |0.0207|
| - stem |N/A |none | 0|acc |↑ |0.7180|± |0.0076|
| - us_foreign_policy | 0|none | 0|acc |↑ |0.9600|± |0.0197|
| - virology | 0|none | 0|acc |↑ |0.5482|± |0.0387|
| - world_religions | 0|none | 0|acc |↑ |0.9006|± |0.0229|
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|------------------|-------|------|-----:|------|---|-----:|---|-----:|
|mmlu |N/A |none | 0|acc |↑ |0.7905|± |0.0033|
| - humanities |N/A |none | 0|acc |↑ |0.7594|± |0.0060|
| - other |N/A |none | 0|acc |↑ |0.8214|± |0.0065|
| - social_sciences|N/A |none | 0|acc |↑ |0.8811|± |0.0057|
| - stem |N/A |none | 0|acc |↑ |0.7180|± |0.0076|
```
The [original paper](https://d1qx31qr3h6wln.cloudfront.net/publications/Nemotron_4_340B_8T_0.pdf) evals for reference:
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