Llamacpp Quantizations of stable-code-instruct-3b
Using llama.cpp release b2440 for quantization.
Original model: https://huggingface.co/stabilityai/stable-code-instruct-3b
Download a file (not the whole branch) from below:
Filename | Quant type | File Size | Description |
---|---|---|---|
stable-code-instruct-3b-Q8_0.gguf | Q8_0 | 2.97GB | Extremely high quality, generally unneeded but max available quant. |
stable-code-instruct-3b-Q6_K.gguf | Q6_K | 2.29GB | Very high quality, near perfect, recommended. |
stable-code-instruct-3b-Q5_K_M.gguf | Q5_K_M | 1.99GB | High quality, very usable. |
stable-code-instruct-3b-Q5_K_S.gguf | Q5_K_S | 1.94GB | High quality, very usable. |
stable-code-instruct-3b-Q5_0.gguf | Q5_0 | 1.94GB | High quality, older format, generally not recommended. |
stable-code-instruct-3b-Q4_K_M.gguf | Q4_K_M | 1.70GB | Good quality, similar to 4.25 bpw. |
stable-code-instruct-3b-Q4_K_S.gguf | Q4_K_S | 1.62GB | Slightly lower quality with small space savings. |
stable-code-instruct-3b-IQ4_NL.gguf | IQ4_NL | 1.61GB | Good quality, similar to Q4_K_S, new method of quanting, |
stable-code-instruct-3b-IQ4_XS.gguf | IQ4_XS | 1.53GB | Decent quality, new method with similar performance to Q4. |
stable-code-instruct-3b-Q4_0.gguf | Q4_0 | 1.60GB | Decent quality, older format, generally not recommended. |
stable-code-instruct-3b-IQ3_M.gguf | IQ3_M | 1.31GB | Medium-low quality, new method with decent performance. |
stable-code-instruct-3b-IQ3_S.gguf | IQ3_S | 1.25GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
stable-code-instruct-3b-Q3_K_L.gguf | Q3_K_L | 1.50GB | Lower quality but usable, good for low RAM availability. |
stable-code-instruct-3b-Q3_K_M.gguf | Q3_K_M | 1.39GB | Even lower quality. |
stable-code-instruct-3b-Q3_K_S.gguf | Q3_K_S | 1.25GB | Low quality, not recommended. |
stable-code-instruct-3b-Q2_K.gguf | Q2_K | 1.08GB | Extremely low quality, not recommended. |
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Evaluation results
- pass@1 on MultiPL-HumanEval (Python)self-reported32.400
- pass@1 on MultiPL-HumanEval (C++)self-reported30.900
- pass@1 on MultiPL-HumanEval (Java)self-reported32.100
- pass@1 on MultiPL-HumanEval (JavaScript)self-reported32.100
- pass@1 on MultiPL-HumanEval (PHP)self-reported24.200
- pass@1 on MultiPL-HumanEval (Rust)self-reported23.000