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README.md
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---
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language:
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- en
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- de
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- fr
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- it
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- pt
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- hi
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license: llama3.1
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pipeline_tag: text-generation
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tags:
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- facebook
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- meta
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- pytorch
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- llama
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- llama-3
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---
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# Meta-Llama3.1-8B-FP8-128K
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## Model Overview
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- Model Architecture: Meta-Llama-3.1
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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 multiple languages. Similarly to Meta-Llama-3.1-8B-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: 8/27/2024
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- Version: 1.0
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- License(s): llama3.1
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- Quantized version of Meta-Llama-3.1-8B-Instruct.
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## Serve with vLLM engine
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```bash
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python3 -m vllm.entrypoints.openai.api_server \
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--port <port> --model yejingfu/Meta-Llama-3.1-8B-FP8-128K \
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--tensor-parallel-size 1 --swap-space 16 --gpu-memory-utilization 0.96
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--max-num-seqs 32 --max-model-len 131072 --kv-cache-dtype fp8 --enable-chunked-prefill
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```
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license: llama3.1
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---
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language:
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- en
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+
- de
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+
- fr
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+
- it
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+
- pt
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+
- hi
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+
- es
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- th
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license: llama3.1
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pipeline_tag: text-generation
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tags:
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- facebook
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+
- meta
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- pytorch
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- llama
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- llama-3
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---
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# Meta-Llama3.1-8B-FP8-128K
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## Model Overview
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- Model Architecture: Meta-Llama-3.1
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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 multiple languages. Similarly to Meta-Llama-3.1-8B-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: 8/27/2024
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- Version: 1.0
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- License(s): llama3.1
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- Quantized version of Meta-Llama-3.1-8B-Instruct.
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+
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+
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## Serve with vLLM engine
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```bash
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python3 -m vllm.entrypoints.openai.api_server \
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--port <port> --model yejingfu/Meta-Llama-3.1-8B-Instruct-FP8-128K \
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--tensor-parallel-size 1 --swap-space 16 --gpu-memory-utilization 0.96 \
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--max-num-seqs 32 --max-model-len 131072 --kv-cache-dtype fp8 --enable-chunked-prefill
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```
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## license: llama3.1
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