StarCoder2-15B-Instruct-v0.1-GGUF

Original Model

bigcode/starcoder2-15b-instruct-v0.1

Run with Gaianet

Prompt template:

prompt template: comming soon

Context size:

chat_ctx_size: 6144

Run with GaiaNet:

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Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
starcoder2-15b-instruct-v0.1-Q2_K.gguf	Q2_K	2	6.19 GB	smallest, significant quality loss - not recommended for most purposes
starcoder2-15b-instruct-v0.1-Q3_K_L.gguf	Q3_K_L	3	8.97 GB	small, substantial quality loss
starcoder2-15b-instruct-v0.1-Q3_K_M.gguf	Q3_K_M	3	8.1 GB	very small, high quality loss
starcoder2-15b-instruct-v0.1-Q3_K_S.gguf	Q3_K_S	3	6.99 GB	very small, high quality loss
starcoder2-15b-instruct-v0.1-Q4_0.gguf	Q4_0	4	9.07 GB	legacy; small, very high quality loss - prefer using Q3_K_M
starcoder2-15b-instruct-v0.1-Q4_K_M.gguf	Q4_K_M	4	9.86 GB	medium, balanced quality - recommended
starcoder2-15b-instruct-v0.1-Q4_K_S.gguf	Q4_K_S	4	9.26 GB	small, greater quality loss
starcoder2-15b-instruct-v0.1-Q5_0.gguf	Q5_0	5	11 GB	legacy; medium, balanced quality - prefer using Q4_K_M
starcoder2-15b-instruct-v0.1-Q5_K_M.gguf	Q5_K_M	5	11.4 GB	large, very low quality loss - recommended
starcoder2-15b-instruct-v0.1-Q5_K_S.gguf	Q5_K_S	5	11 GB	large, low quality loss - recommended
starcoder2-15b-instruct-v0.1-Q6_K.gguf	Q6_K	6	13.1 GB	very large, extremely low quality loss
starcoder2-15b-instruct-v0.1-Q8_0.gguf	Q8_0	8	17 GB	very large, extremely low quality loss - not recommended
starcoder2-15b-instruct-v0.1-f16.gguf	f16	16	31.9 GB

Quantized with llama.cpp b2824