llm-compiler-7b-ftd-GGUF

Original Model

facebook/llm-compiler-7b-ftd

License A custom commercial license is available at: https://ai.meta.com/resources/models-and-libraries/llama-downloads/

Run with LlamaEdge

  • LlamaEdge version: coming soon

Quantized GGUF Models

Name Quant method Bits Size Use case
llm-compiler-7b-ftd-Q2_K.gguf Q2_K 2 2.53 GB smallest, significant quality loss - not recommended for most purposes
llm-compiler-7b-ftd-Q3_K_L.gguf Q3_K_L 3 3.6 GB small, substantial quality loss
llm-compiler-7b-ftd-Q3_K_M.gguf Q3_K_M 3 3.3 GB very small, high quality loss
llm-compiler-7b-ftd-Q3_K_S.gguf Q3_K_S 3 2.95 GB very small, high quality loss
llm-compiler-7b-ftd-Q4_0.gguf Q4_0 4 3.83 GB legacy; small, very high quality loss - prefer using Q3_K_M
llm-compiler-7b-ftd-Q4_K_M.gguf Q4_K_M 4 4.08 GB medium, balanced quality - recommended
llm-compiler-7b-ftd-Q4_K_S.gguf Q4_K_S 4 3.86 GB small, greater quality loss
llm-compiler-7b-ftd-Q5_0.gguf Q5_0 5 4.65 GB legacy; medium, balanced quality - prefer using Q4_K_M
llm-compiler-7b-ftd-Q5_K_M.gguf Q5_K_M 5 4.78 GB large, very low quality loss - recommended
llm-compiler-7b-ftd-Q5_K_S.gguf Q5_K_S 5 4.65 GB large, low quality loss - recommended
llm-compiler-7b-ftd-Q6_K.gguf Q6_K 6 5.53 GB very large, extremely low quality loss
llm-compiler-7b-ftd-Q8_0.gguf Q8_0 8 7.16 GB very large, extremely low quality loss - not recommended
llm-compiler-7b-ftd-f16.gguf f16 f16 13.5 GB

Quantized with llama.cpp b3259

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GGUF
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Inference Examples
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