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metadata
base_model: 01-ai/Yi-Coder-1.5B-Chat
inference: false
model_creator: 01-ai
model_name: Yi-Coder-1.5B-Chat
model_type: yi
pipeline_tag: text-generation
quantized_by: Second State Inc.
license: apache-2.0

Yi-Coder-1.5B-Chat-GGUF

Original Model

01-ai/Yi-Coder-1.5B-Chat

Run with LlamaEdge

  • LlamaEdge version: coming soon

Quantized GGUF Models

Name Quant method Bits Size Use case
Yi-Coder-1.5B-Chat-Q2_K.gguf Q2_K 2 635 MB smallest, significant quality loss - not recommended for most purposes
Yi-Coder-1.5B-Chat-Q3_K_L.gguf Q3_K_L 3 826 MB small, substantial quality loss
Yi-Coder-1.5B-Chat-Q3_K_M.gguf Q3_K_M 3 768 MB very small, high quality loss
Yi-Coder-1.5B-Chat-Q3_K_S.gguf Q3_K_S 3 723 MB very small, high quality loss
Yi-Coder-1.5B-Chat-Q4_0.gguf Q4_0 4 866 MB legacy; small, very high quality loss - prefer using Q3_K_M
Yi-Coder-1.5B-Chat-Q4_K_M.gguf Q4_K_M 4 964 MB medium, balanced quality - recommended
Yi-Coder-1.5B-Chat-Q4_K_S.gguf Q4_K_S 4 904 MB small, greater quality loss
Yi-Coder-1.5B-Chat-Q5_0.gguf Q5_0 5 1.03 GB legacy; medium, balanced quality - prefer using Q4_K_M
Yi-Coder-1.5B-Chat-Q5_K_M.gguf Q5_K_M 5 1.10 GB large, very low quality loss - recommended
Yi-Coder-1.5B-Chat-Q5_K_S.gguf Q5_K_S 5 1.05 GB large, low quality loss - recommended
Yi-Coder-1.5B-Chat-Q6_K.gguf Q6_K 6 1.28 GB very large, extremely low quality loss
Yi-Coder-1.5B-Chat-Q8_0.gguf Q8_0 8 1.57 GB very large, extremely low quality loss - not recommended
Yi-Coder-1.5B-Chat-f16.gguf f16 16 2.95 GB

Quantized with llama.cpp b3499