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Meta Llama 3 8B AWQ by solidrust

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  4-bit   Autotrain compatible   Awq Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Meta-Llama-3-8B-AWQ 

Meta Llama 3 8B AWQ Benchmarks

LLME Score: 0.22908
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 8B AWQ (solidrust/Meta-Llama-3-8B-AWQ)

Meta Llama 3 8B AWQ Parameters and Internals

Model Type 
text-generation, 4-bit, AWQ, autotrain_compatible, endpoints_compatible
Additional Notes 
AWQ is an efficient, accurate and fast low-bit weight quantization method supporting 4-bit quantization, with faster Transformers-based inference.
LLM NameMeta Llama 3 8B AWQ
Repository 🤗https://huggingface.co/solidrust/Meta-Llama-3-8B-AWQ 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM5.8 GB
Updated2024-12-22
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.2
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 solidrust/Meta-Llama-3-8B-AWQ.

Rank the Meta Llama 3 8B 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 v20241217
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