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metadata
language:
  - code
license: other
model_name: llm-compiler-7b
base_model: facebook/llm-compiler-7b
inference: false
model_creator: facebook
quantized_by: Second State Inc.

llm-compiler-7b-GGUF

Original Model

facebook/llm-compiler-7b

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-Q2_K.gguf Q2_K 2 2.53 GB smallest, significant quality loss - not recommended for most purposes
llm-compiler-7b-Q3_K_L.gguf Q3_K_L 3 6.93 GB small, substantial quality loss
llm-compiler-7b-Q3_K_M.gguf Q3_K_M 3 6.34 GB very small, high quality loss
llm-compiler-7b-Q3_K_S.gguf Q3_K_S 3 5.66 GB very small, high quality loss
llm-compiler-7b-Q4_0.gguf Q4_0 4 7.37 GB legacy; small, very high quality loss - prefer using Q3_K_M
llm-compiler-7b-Q4_K_M.gguf Q4_K_M 4 7.87 GB medium, balanced quality - recommended
llm-compiler-7b-Q4_K_S.gguf Q4_K_S 4 7.41 GB small, greater quality loss
llm-compiler-7b-Q5_0.gguf Q5_0 5 8.97 GB legacy; medium, balanced quality - prefer using Q4_K_M
llm-compiler-7b-Q5_K_M.gguf Q5_K_M 5 9.23 GB large, very low quality loss - recommended
llm-compiler-7b-Q5_K_S.gguf Q5_K_S 5 8.97 GB large, low quality loss - recommended
llm-compiler-7b-Q6_K.gguf Q6_K 6 10.7 GB very large, extremely low quality loss
llm-compiler-7b-Q8_0.gguf Q8_0 8 13.8 GB very large, extremely low quality loss - not recommended
llm-compiler-7b-f16.gguf f16 f16 13.8 GB

Quantized with llama.cpp b3259