LLaMa 65B GGML by TheBloke

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  Ggml   Llama   Quantized   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/LLaMa-65B-GGML 

LLaMa 65B GGML Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMa 65B GGML (TheBloke/LLaMa-65B-GGML)
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LLaMa 65B GGML Parameters and Internals

Model Type 
llama
Additional Notes 
The model is available in GGML format for CPU + GPU inference using llama.cpp and several libraries. Various quantization methods are used to optimize the model for performance and resource efficiency.
LLM NameLLaMa 65B GGML
Repository ๐Ÿค—https://huggingface.co/TheBloke/LLaMa-65B-GGML 
Model Size65b
Required VRAM27.3 GB
Updated2025-09-16
MaintainerTheBloke
Model Typellama
Model Files  27.3 GB   34.5 GB   31.4 GB   28.1 GB   36.7 GB   40.8 GB   39.3 GB   36.7 GB   44.9 GB   49.0 GB   46.2 GB   44.9 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/LLaMa-65B-GGML.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124