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README.md
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```
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lm_eval --model vllm --model_args pretrained=nm-testing/Meta-Llama-3-8B-Instruct-FP8-K-V,kv_cache_dtype=fp8,add_bos_token=True --tasks gsm8k --num_fewshot 5 --batch_size auto
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---
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tags:
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- fp8
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- vllm
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license: llama3
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license_link: https://llama.meta.com/llama3/license/
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language:
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- en
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---
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# Meta-Llama-3-8B-Instruct-FP8
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## Model Overview
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- **Model Architecture:** Meta-Llama-3
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- **Input:** Text
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- **Output:** Text
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- **Model Optimizations:**
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- **Weight quantization:** FP8
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- **Activation quantization:** FP8
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- **KV cache quantization:** FP8
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- **Intended Use Cases:** Intended for commercial and research use in English. Similarly to [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct), this models is intended for assistant-like chat.
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- **Out-of-scope:** Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in languages other than English.
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- **Release Date:** 6/8/2024
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- **Version:** 1.0
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- **License(s):** [Llama3](https://llama.meta.com/llama3/license/)
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- **Model Developers:** Neural Magic
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Quantized version of [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
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```
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lm_eval --model vllm --model_args pretrained=nm-testing/Meta-Llama-3-8B-Instruct-FP8-K-V,kv_cache_dtype=fp8,add_bos_token=True --tasks gsm8k --num_fewshot 5 --batch_size auto
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