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--- |
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license: other |
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language: |
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- en |
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tags: |
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- causal-lm |
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- code |
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metrics: |
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- code_eval |
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library_name: transformers |
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model-index: |
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- name: stabilityai/stable-code-instruct-3b |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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type: nuprl/MultiPL-E |
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name: MultiPL-HumanEval (Python) |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: 32.4 |
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verified: false |
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- task: |
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type: text-generation |
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dataset: |
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type: nuprl/MultiPL-E |
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name: MultiPL-HumanEval (C++) |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: 30.9 |
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verified: false |
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- task: |
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type: text-generation |
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dataset: |
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type: nuprl/MultiPL-E |
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name: MultiPL-HumanEval (Java) |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: 32.1 |
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verified: false |
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- task: |
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type: text-generation |
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dataset: |
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type: nuprl/MultiPL-E |
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name: MultiPL-HumanEval (JavaScript) |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: 32.1 |
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verified: false |
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- task: |
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type: text-generation |
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dataset: |
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type: nuprl/MultiPL-E |
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name: MultiPL-HumanEval (PHP) |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: 24.2 |
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verified: false |
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- task: |
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type: text-generation |
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dataset: |
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type: nuprl/MultiPL-E |
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name: MultiPL-HumanEval (Rust) |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: 23.0 |
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verified: false |
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quantized_by: bartowski |
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pipeline_tag: text-generation |
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--- |
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## Llamacpp Quantizations of stable-code-instruct-3b |
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440">b2440</a> for quantization. |
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Original model: https://huggingface.co/stabilityai/stable-code-instruct-3b |
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Download a file (not the whole branch) from below: |
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| Filename | Quant type | File Size | Description | |
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| -------- | ---------- | --------- | ----------- | |
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| [stable-code-instruct-3b-Q8_0.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q8_0.gguf) | Q8_0 | 2.97GB | Extremely high quality, generally unneeded but max available quant. | |
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| [stable-code-instruct-3b-Q6_K.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q6_K.gguf) | Q6_K | 2.29GB | Very high quality, near perfect, *recommended*. | |
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| [stable-code-instruct-3b-Q5_K_M.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q5_K_M.gguf) | Q5_K_M | 1.99GB | High quality, very usable. | |
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| [stable-code-instruct-3b-Q5_K_S.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q5_K_S.gguf) | Q5_K_S | 1.94GB | High quality, very usable. | |
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| [stable-code-instruct-3b-Q5_0.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q5_0.gguf) | Q5_0 | 1.94GB | High quality, older format, generally not recommended. | |
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| [stable-code-instruct-3b-Q4_K_M.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q4_K_M.gguf) | Q4_K_M | 1.70GB | Good quality, similar to 4.25 bpw. | |
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| [stable-code-instruct-3b-Q4_K_S.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q4_K_S.gguf) | Q4_K_S | 1.62GB | Slightly lower quality with small space savings. | |
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| [stable-code-instruct-3b-IQ4_NL.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-IQ4_NL.gguf) | IQ4_NL | 1.61GB | Good quality, similar to Q4_K_S, new method of quanting, | |
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| [stable-code-instruct-3b-IQ4_XS.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-IQ4_XS.gguf) | IQ4_XS | 1.53GB | Decent quality, new method with similar performance to Q4. | |
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| [stable-code-instruct-3b-Q4_0.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q4_0.gguf) | Q4_0 | 1.60GB | Decent quality, older format, generally not recommended. | |
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| [stable-code-instruct-3b-IQ3_M.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-IQ3_M.gguf) | IQ3_M | 1.31GB | Medium-low quality, new method with decent performance. | |
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| [stable-code-instruct-3b-IQ3_S.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-IQ3_S.gguf) | IQ3_S | 1.25GB | Lower quality, new method with decent performance, recommended over Q3 quants. | |
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| [stable-code-instruct-3b-Q3_K_L.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q3_K_L.gguf) | Q3_K_L | 1.50GB | Lower quality but usable, good for low RAM availability. | |
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| [stable-code-instruct-3b-Q3_K_M.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q3_K_M.gguf) | Q3_K_M | 1.39GB | Even lower quality. | |
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| [stable-code-instruct-3b-Q3_K_S.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q3_K_S.gguf) | Q3_K_S | 1.25GB | Low quality, not recommended. | |
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| [stable-code-instruct-3b-Q2_K.gguf](https://huggingface.co/bartowski/stable-code-instruct-3b-GGUF/blob/main/stable-code-instruct-3b-Q2_K.gguf) | Q2_K | 1.08GB | Extremely low quality, *not* recommended. |
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |
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