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--- |
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pipeline_tag: text-generation |
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inference: true |
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widget: |
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- text: 'def print_hello_world():' |
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example_title: Hello world |
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group: Python |
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license: bigscience-openrail-m |
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pretrain-datasets: |
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- books |
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- arxiv |
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- c4 |
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- falcon-refinedweb |
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- wiki |
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- github-issues |
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- stack_markdown |
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- self-made dataset of permissive github code |
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datasets: |
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- bigcode/the-stack-dedup |
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- rombodawg/2XUNCENSORED_MegaCodeTraining188k |
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- bigcode/commitpackft |
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metrics: |
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- code_eval |
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library_name: transformers |
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tags: |
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- code |
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- TensorBlock |
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- GGUF |
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language: |
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- en |
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base_model: smallcloudai/Refact-1_6B-fim |
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model-index: |
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- name: Refact-1.6B |
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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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name: HumanEval |
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type: openai_humaneval |
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metrics: |
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- type: pass@1 |
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value: 32.0 |
|
name: pass@1 (T=0.01) |
|
verified: false |
|
- type: pass@1 |
|
value: 31.5 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@10 |
|
value: 53.0 |
|
name: pass@10 (T=0.8) |
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verified: false |
|
- type: pass@100 |
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value: 76.9 |
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name: pass@100 (T=0.8) |
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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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name: HumanEvalSynthesize Python |
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type: bigcode/humanevalpack |
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metrics: |
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- type: pass@1 |
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value: 35.8 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 31.6 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 29.1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 26.3 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 18.38 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 12.28 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 15.12 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 13.17 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 2.8 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 26.92 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 26.85 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 30.76 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 25.94 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 8.44 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 26.46 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 17.86 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 20.94 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 18.78 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
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value: -1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
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- task: |
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type: text-generation |
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dataset: |
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name: MBPP |
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type: mbpp |
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metrics: |
|
- type: pass@1 |
|
value: 31.15 |
|
name: pass@1 (T=0.01) |
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verified: false |
|
- task: |
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type: text-generation |
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dataset: |
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name: DS-1000 (Overall Completion) |
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type: ds1000 |
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metrics: |
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- type: pass@1 |
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value: 10.1 |
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name: pass@1 (T=0.2) |
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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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name: MultiPL-HumanEval (C++) |
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type: nuprl/MultiPL-E |
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metrics: |
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- type: pass@1 |
|
value: 21.61 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 13.91 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 9.5 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 53.57 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 21.58 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 13.75 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 26.88 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 15.26 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 23.04 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 12.1 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 29.6 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 13.77 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 12.68 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 4.29 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 19.54 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 18.33 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 5.7 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 17.68 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
- type: pass@1 |
|
value: 25 |
|
name: pass@1 (T=0.2) |
|
verified: false |
|
--- |
|
|
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<div style="display: flex; justify-content: space-between; width: 100%;"> |
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<div style="display: flex; flex-direction: column; align-items: flex-start;"> |
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<p style="margin-top: 0.5em; margin-bottom: 0em;"> |
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Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a> |
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</p> |
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</div> |
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</div> |
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|
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## smallcloudai/Refact-1_6B-fim - GGUF |
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|
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This repo contains GGUF format model files for [smallcloudai/Refact-1_6B-fim](https://huggingface.co/smallcloudai/Refact-1_6B-fim). |
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|
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The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d). |
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|
|
|
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<div style="text-align: left; margin: 20px 0;"> |
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<a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;"> |
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Run them on the TensorBlock client using your local machine ↗ |
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</a> |
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</div> |
|
|
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## Prompt template |
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|
|
|
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``` |
|
|
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``` |
|
|
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## Model file specification |
|
|
|
| Filename | Quant type | File Size | Description | |
|
| -------- | ---------- | --------- | ----------- | |
|
| [Refact-1_6B-fim-Q2_K.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q2_K.gguf) | Q2_K | 0.581 GB | smallest, significant quality loss - not recommended for most purposes | |
|
| [Refact-1_6B-fim-Q3_K_S.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q3_K_S.gguf) | Q3_K_S | 0.673 GB | very small, high quality loss | |
|
| [Refact-1_6B-fim-Q3_K_M.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q3_K_M.gguf) | Q3_K_M | 0.739 GB | very small, high quality loss | |
|
| [Refact-1_6B-fim-Q3_K_L.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q3_K_L.gguf) | Q3_K_L | 0.795 GB | small, substantial quality loss | |
|
| [Refact-1_6B-fim-Q4_0.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q4_0.gguf) | Q4_0 | 0.857 GB | legacy; small, very high quality loss - prefer using Q3_K_M | |
|
| [Refact-1_6B-fim-Q4_K_S.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q4_K_S.gguf) | Q4_K_S | 0.862 GB | small, greater quality loss | |
|
| [Refact-1_6B-fim-Q4_K_M.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q4_K_M.gguf) | Q4_K_M | 0.902 GB | medium, balanced quality - recommended | |
|
| [Refact-1_6B-fim-Q5_0.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q5_0.gguf) | Q5_0 | 1.030 GB | legacy; medium, balanced quality - prefer using Q4_K_M | |
|
| [Refact-1_6B-fim-Q5_K_S.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q5_K_S.gguf) | Q5_K_S | 1.030 GB | large, low quality loss - recommended | |
|
| [Refact-1_6B-fim-Q5_K_M.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q5_K_M.gguf) | Q5_K_M | 1.053 GB | large, very low quality loss - recommended | |
|
| [Refact-1_6B-fim-Q6_K.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q6_K.gguf) | Q6_K | 1.214 GB | very large, extremely low quality loss | |
|
| [Refact-1_6B-fim-Q8_0.gguf](https://huggingface.co/tensorblock/Refact-1_6B-fim-GGUF/blob/main/Refact-1_6B-fim-Q8_0.gguf) | Q8_0 | 1.571 GB | very large, extremely low quality loss - not recommended | |
|
|
|
|
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## Downloading instruction |
|
|
|
### Command line |
|
|
|
Firstly, install Huggingface Client |
|
|
|
```shell |
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pip install -U "huggingface_hub[cli]" |
|
``` |
|
|
|
Then, downoad the individual model file the a local directory |
|
|
|
```shell |
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huggingface-cli download tensorblock/Refact-1_6B-fim-GGUF --include "Refact-1_6B-fim-Q2_K.gguf" --local-dir MY_LOCAL_DIR |
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``` |
|
|
|
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: |
|
|
|
```shell |
|
huggingface-cli download tensorblock/Refact-1_6B-fim-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' |
|
``` |
|
|
