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Duplicate from bartowski/stable-code-instruct-3b-GGUF
Browse files- .gitattributes +51 -0
- README.md +105 -0
- stable-code-instruct-3b-IQ3_M.gguf +3 -0
- stable-code-instruct-3b-IQ3_S.gguf +3 -0
- stable-code-instruct-3b-IQ4_NL.gguf +3 -0
- stable-code-instruct-3b-IQ4_XS.gguf +3 -0
- stable-code-instruct-3b-Q2_K.gguf +3 -0
- stable-code-instruct-3b-Q3_K_L.gguf +3 -0
- stable-code-instruct-3b-Q3_K_M.gguf +3 -0
- stable-code-instruct-3b-Q3_K_S.gguf +3 -0
- stable-code-instruct-3b-Q4_0.gguf +3 -0
- stable-code-instruct-3b-Q4_K_M.gguf +3 -0
- stable-code-instruct-3b-Q4_K_S.gguf +3 -0
- stable-code-instruct-3b-Q5_0.gguf +3 -0
- stable-code-instruct-3b-Q5_K_M.gguf +3 -0
- stable-code-instruct-3b-Q5_K_S.gguf +3 -0
- stable-code-instruct-3b-Q6_K.gguf +3 -0
- stable-code-instruct-3b-Q8_0.gguf +3 -0
.gitattributes
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README.md
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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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ADDED
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