LLaMA 7B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq   Llama   Quantized   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/LLaMA-7b-AWQ 

LLaMA 7B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA 7B AWQ (TheBloke/LLaMA-7b-AWQ)
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LLaMA 7B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference.
Input Output 
Input Format:
{prompt}
LLM NameLLaMA 7B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/LLaMA-7b-AWQ 
Model NameLLaMA 7B
Model CreatorMeta
Model Size7b
Required VRAM3.9 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/LLaMA-7b-AWQ.

Rank the LLaMA 7B AWQ Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124