Meta Llama Llama 2 7B Chat Hf Gemm W4 G128 AWQ by asprenger

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Meta Llama Llama 2 7B Chat Hf Gemm W4 G128 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama Llama 2 7B Chat Hf Gemm W4 G128 AWQ (asprenger/meta-llama-Llama-2-7b-chat-hf-gemm-w4-g128-awq)
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Meta Llama Llama 2 7B Chat Hf Gemm W4 G128 AWQ Parameters and Internals

LLM NameMeta Llama Llama 2 7B Chat Hf Gemm W4 G128 AWQ
Repository ๐Ÿค—https://huggingface.co/asprenger/meta-llama-Llama-2-7b-chat-hf-gemm-w4-g128-awq 
Model Size7b
Required VRAM3.9 GB
Updated2025-09-18
Maintainerasprenger
Model Typellama
Model Files  2.0 GB: 1-of-2   1.9 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than asprenger/meta-llama-Llama-2-7b-chat-hf-gemm-w4-g128-awq.

Rank the Meta Llama Llama 2 7B Chat Hf Gemm W4 G128 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124