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Meta Llama 3.1 8B Instruct Quantized.w8a16 by RedHatAI

 »  All LLMs  »  RedHatAI  »  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/RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a16 

Meta Llama 3.1 8B Instruct Quantized.w8a16 Benchmarks

LLME Score: 0.21556
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Meta Llama 3.1 8B Instruct Quantized.w8a16 Parameters and Internals

LLM NameMeta Llama 3.1 8B Instruct Quantized.w8a16
Repository 🤗https://huggingface.co/RedHatAI/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
Updated2025-06-09
MaintainerRedHatAI
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
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3.1 8B Instruct Quantized.w8a16 (RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a16)

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Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/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  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Release v20241124
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