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Ext Meta Llama 3 70B Instruct AWQ GEMM by erickbp

 »  All LLMs  »  erickbp  »  Ext 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/Ext-Meta-Llama-3-70B-Instruct-AWQ-GEMM 

Ext Meta Llama 3 70B Instruct AWQ GEMM Benchmarks

LLME Score: 0.20052
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ext Meta Llama 3 70B Instruct AWQ GEMM (erickbp/Ext-Meta-Llama-3-70B-Instruct-AWQ-GEMM)

Ext Meta Llama 3 70B Instruct AWQ GEMM Parameters and Internals

LLM NameExt Meta Llama 3 70B Instruct AWQ GEMM
Repository 🤗https://huggingface.co/erickbp/Ext-Meta-Llama-3-70B-Instruct-AWQ-GEMM 
Model Size70b
Required VRAM39.9 GB
Updated2024-12-30
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 Version4.40.0
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/Ext-Meta-Llama-3-70B-Instruct-AWQ-GEMM.

Rank the Ext 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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