Llama 7B 4bit Gr128 by wcde

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Llama 7B 4bit Gr128 is an open-source language model by wcde. Features: 7b LLM, VRAM: 4GB, Quantized, LLM Explorer Score: 0.06.

  4bit   Endpoints compatible   Llama   Quantized   Region:us

Llama 7B 4bit Gr128 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 4bit Gr128 Parameters and Internals

Additional Notes 
The model was generated using specific settings: --wbits 4 --groupsize 128 --true-sequential --new-eval --faster-kernel.
LLM NameLlama 7B 4bit Gr128
Repository 🤗https://huggingface.co/wcde/llama-7b-4bit-gr128 
Model Size7b
Required VRAM4 GB
Updated2026-04-29
Maintainerwcde
Model Typellama
Model Files  4.0 GB
Quantization Type4bit
Model ArchitectureLLaMAForCausalLM
Transformers Version4.27.0.dev0
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 wcde/llama-7b-4bit-gr128.

Rank the Llama 7B 4bit Gr128 Capabilities

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Release v20260328a