apepkuss79's picture
Update README.md
1bce698 verified
|
raw
history blame
4.17 kB
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 3.6 GB small, substantial quality loss
llm-compiler-7b-Q3_K_M.gguf Q3_K_M 3 3.3 GB very small, high quality loss
llm-compiler-7b-Q3_K_S.gguf Q3_K_S 3 2.95 GB very small, high quality loss
llm-compiler-7b-Q4_0.gguf Q4_0 4 3.83 GB legacy; small, very high quality loss - prefer using Q3_K_M
llm-compiler-7b-Q4_K_M.gguf Q4_K_M 4 4.08 GB medium, balanced quality - recommended
llm-compiler-7b-Q4_K_S.gguf Q4_K_S 4 3.86 GB small, greater quality loss
llm-compiler-7b-Q5_0.gguf Q5_0 5 4.65 GB legacy; medium, balanced quality - prefer using Q4_K_M
llm-compiler-7b-Q5_K_M.gguf Q5_K_M 5 4.78 GB large, very low quality loss - recommended
llm-compiler-7b-Q5_K_S.gguf Q5_K_S 5 4.65 GB large, low quality loss - recommended
llm-compiler-7b-Q6_K.gguf Q6_K 6 5.53 GB very large, extremely low quality loss
llm-compiler-7b-Q8_0.gguf Q8_0 8 7.16 GB very large, extremely low quality loss - not recommended
llm-compiler-7b-f16.gguf f16 f16 13.5 GB

Quantized with llama.cpp b3259