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Meta Llama 3 70B Instruct AWQ by psyche

 »  All LLMs  »  psyche  »  Meta Llama 3 70B Instruct AWQ   URL Share it on

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/psyche/Meta-Llama-3-70B-Instruct-awq 

Meta Llama 3 70B Instruct AWQ Benchmarks

LLME Score: 0.20153
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 70B Instruct AWQ (psyche/Meta-Llama-3-70B-Instruct-awq)

Meta Llama 3 70B Instruct AWQ Parameters and Internals

LLM NameMeta Llama 3 70B Instruct AWQ
Repository 🤗https://huggingface.co/psyche/Meta-Llama-3-70B-Instruct-awq 
Base Model(s)  Meta Llama 3 120B Instruct   mlabonne/Meta-Llama-3-120B-Instruct
Model Size70b
Required VRAM39.9 GB
Updated2025-01-12
Maintainerpsyche
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   3.4 GB: 8-of-9   2.1 GB: 9-of-9
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than psyche/Meta-Llama-3-70B-Instruct-awq.

Rank the Meta Llama 3 70B Instruct AWQ 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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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