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Meta Llama 3 70B Instruct AWQ GEMM by erickbp

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

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

Meta Llama 3 70B Instruct AWQ GEMM Benchmarks

LLME Score: 0.20194
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 GEMM (erickbp/Meta-Llama-3-70B-Instruct-AWQ-GEMM)

Meta Llama 3 70B Instruct AWQ GEMM Parameters and Internals

LLM NameMeta Llama 3 70B Instruct AWQ GEMM
Repository 🤗https://huggingface.co/erickbp/Meta-Llama-3-70B-Instruct-AWQ-GEMM 
Base Model(s)  Meta Llama 3 70B Instruct OAS   Undi95/Meta-Llama-3-70B-Instruct-OAS
Model Size70b
Required VRAM39.9 GB
Updated2024-12-22
Maintainererickbp
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 erickbp/Meta-Llama-3-70B-Instruct-AWQ-GEMM.

Rank the Meta Llama 3 70B Instruct AWQ GEMM 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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