StarCoder2-15B-GGUF

Original Model

bigcode/starcoder2-15b

Run with LlamaEdge

  • LlamaEdge version: coming soon

  • Context size: 6144

Quantized GGUF Models

Name Quant method Bits Size Use case
starcoder2-15b-Q2_K.gguf Q2_K 2 6.19 GB smallest, significant quality loss - not recommended for most purposes
starcoder2-15b-Q3_K_L.gguf Q3_K_L 3 8.97 GB small, substantial quality loss
starcoder2-15b-Q3_K_M.gguf Q3_K_M 3 8.1 GB very small, high quality loss
starcoder2-15b-Q3_K_S.gguf Q3_K_S 3 6.99 GB very small, high quality loss
starcoder2-15b-Q4_0.gguf Q4_0 4 9.07 GB legacy; small, very high quality loss - prefer using Q3_K_M
starcoder2-15b-Q4_K_M.gguf Q4_K_M 4 9.86 GB medium, balanced quality - recommended
starcoder2-15b-Q4_K_S.gguf Q4_K_S 4 9.26 GB small, greater quality loss
starcoder2-15b-Q5_0.gguf Q5_0 5 11 GB legacy; medium, balanced quality - prefer using Q4_K_M
starcoder2-15b-Q5_K_M.gguf Q5_K_M 5 11.4 GB large, very low quality loss - recommended
starcoder2-15b-Q5_K_S.gguf Q5_K_S 5 11 GB large, low quality loss - recommended
starcoder2-15b-Q6_K.gguf Q6_K 6 13.1 GB very large, extremely low quality loss
starcoder2-15b-Q8_0.gguf Q8_0 8 17 GB very large, extremely low quality loss - not recommended

Quantized with llama.cpp b2308

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GGUF
Model size
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Architecture
starcoder2

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Inference Examples
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Model tree for second-state/StarCoder2-15B-GGUF

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