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Meta Llama 3.1 8B Instruct Quantized.w8a16 by neuralmagic

 »  All LLMs  »  neuralmagic  »  Meta Llama 3.1 8B Instruct Quantized.w8a16   URL Share it on

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  Arxiv:2210.17323   Autotrain compatible Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Compressed-tensors   Conversational   De   En   Endpoints compatible   Es   Fr   Hi   Instruct   Int8   It   Llama   Pt   Region:us   Safetensors   Sharded   Tensorflow   Th   Vllm
Model Card on HF 🤗: https://huggingface.co/neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w8a16 

Meta Llama 3.1 8B Instruct Quantized.w8a16 Benchmarks

LLME Score: 0.24339
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3.1 8B Instruct Quantized.w8a16 (neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w8a16)

Meta Llama 3.1 8B Instruct Quantized.w8a16 Parameters and Internals

LLM NameMeta Llama 3.1 8B Instruct Quantized.w8a16
Repository 🤗https://huggingface.co/neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w8a16 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM9.1 GB
Updated2025-04-08
Maintainerneuralmagic
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w8a16.

Rank the Meta Llama 3.1 8B Instruct Quantized.w8a16 Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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