Llamacpp Quantizations of dolphincoder-starcoder2-7b

Using llama.cpp release b2354 for quantization.

Original model: https://huggingface.co./cognitivecomputations/dolphincoder-starcoder2-7b

Download a file (not the whole branch) from below:

Filename Quant type File Size Description
dolphincoder-starcoder2-7b-Q8_0.gguf Q8_0 7.86GB Extremely high quality, generally unneeded but max available quant.
dolphincoder-starcoder2-7b-Q6_K.gguf Q6_K 6.07GB Very high quality, near perfect, recommended.
dolphincoder-starcoder2-7b-Q5_K_M.gguf Q5_K_M 5.31GB High quality, very usable.
dolphincoder-starcoder2-7b-Q5_K_S.gguf Q5_K_S 5.12GB High quality, very usable.
dolphincoder-starcoder2-7b-Q5_0.gguf Q5_0 5.12GB High quality, older format, generally not recommended.
dolphincoder-starcoder2-7b-Q4_K_M.gguf Q4_K_M 4.58GB Good quality, similar to 4.25 bpw.
dolphincoder-starcoder2-7b-Q4_K_S.gguf Q4_K_S 4.31GB Slightly lower quality with small space savings.
dolphincoder-starcoder2-7b-Q4_0.gguf Q4_0 4.22GB Decent quality, older format, generally not recommended.
dolphincoder-starcoder2-7b-Q3_K_L.gguf Q3_K_L 4.17GB Lower quality but usable, good for low RAM availability.
dolphincoder-starcoder2-7b-Q3_K_M.gguf Q3_K_M 3.78GB Even lower quality.
dolphincoder-starcoder2-7b-Q3_K_S.gguf Q3_K_S 3.27GB Low quality, not recommended.
dolphincoder-starcoder2-7b-Q2_K.gguf Q2_K 2.91GB Extremely low quality, not recommended.

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GGUF
Model size
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Architecture
starcoder2

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Inference Examples
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Datasets used to train bartowski/dolphincoder-starcoder2-7b-GGUF