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--- |
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pipeline_tag: text-generation |
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base_model: bigcode/starcoder2-15b |
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datasets: |
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- bigcode/self-oss-instruct-sc2-exec-filter-50k |
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license: bigcode-openrail-m |
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library_name: transformers |
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tags: |
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- code |
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model-index: |
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- name: starcoder2-15b-instruct-v0.1 |
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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: LiveCodeBench (code generation) |
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type: livecodebench-codegeneration |
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metrics: |
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- type: pass@1 |
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value: 20.4 |
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- task: |
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type: text-generation |
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dataset: |
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name: LiveCodeBench (self repair) |
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type: livecodebench-selfrepair |
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metrics: |
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- type: pass@1 |
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value: 20.9 |
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- task: |
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type: text-generation |
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dataset: |
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name: LiveCodeBench (test output prediction) |
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type: livecodebench-testoutputprediction |
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metrics: |
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- type: pass@1 |
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value: 29.8 |
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- task: |
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type: text-generation |
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dataset: |
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name: LiveCodeBench (code execution) |
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type: livecodebench-codeexecution |
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metrics: |
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- type: pass@1 |
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value: 28.1 |
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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: humaneval |
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metrics: |
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- type: pass@1 |
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value: 72.6 |
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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: humanevalplus |
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metrics: |
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- type: pass@1 |
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value: 63.4 |
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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: |
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- type: pass@1 |
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value: 75.2 |
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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: mbppplus |
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metrics: |
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- type: pass@1 |
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value: 61.2 |
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- task: |
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type: text-generation |
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dataset: |
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name: DS-1000 |
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type: ds-1000 |
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metrics: |
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- type: pass@1 |
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value: 40.6 |
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quantized_by: bartowski |
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lm_studio: |
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param_count: 15b |
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use_case: coding |
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release_date: 30-04-2024 |
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model_creator: BigCode |
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prompt_template: Starcoder2 Instruct |
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system_prompt: none |
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base_model: starcoder2 |
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original_repo: bigcode/starcoder2-15b-instruct-v0.1 |
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--- |
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## 💫 Community Model> Starcoder2 15B Instruct v0.1 by BigCode |
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*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*. |
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**Model creator:** [bigcode](https://huggingface.co/bigcode)<br> |
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**Original model**: [starcoder2-15b-instruct-v0.1](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1)<br> |
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**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b2756](https://github.com/ggerganov/llama.cpp/releases/tag/b2756)<br> |
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## Model Summary: |
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Starcoder2-15B-Instruct-v0.1 is self-proclaimed to be the first entirely self-aligned code model with a fully permissive and transparent pipeline.<br> |
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This model is meant to be used for coding instructions in a <b>single turn</b>, any other styles may result in less accurate responses.<br> |
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Starcoder2 has been primarily finetuned for Python code generation and as such should primarily be used for Python tasks. |
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## Prompt Template: |
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Choose the 'Starcoder2 Instruct' preset in your LM Studio. |
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Under the hood, the model will see a prompt that's formatted like so: |
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``` |
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<|endoftext|>You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions. |
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### Instruction |
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{prompt} |
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### Response |
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<|endoftext|> |
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``` |
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## Use case and examples |
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This model should be used for single turn coding related instructions. |
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## Coding with requirements |
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## Creating unit tests |
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## More coding examples |
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## Technical Details |
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Starcoder2 15B instruct was trained primarily on Python code generation tasks. Using Starcoder2 15B (non instruct) to generated thousands of instruction-reponse pairs, the results were used to fine tune an instruct model without human annotation or distilled data. |
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The dataset created is open and available: [self-oss-instruct-sc2-exec-filter-50k](https://huggingface.co/datasets/bigcode/self-oss-instruct-sc2-exec-filter-50k) |
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And the code used to create the self-alignment has been shared here: [starcoder2-self-align](https://github.com/bigcode-project/starcoder2-self-align) |
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The results of the self-alignment are extremely promising, with significantly higher scores across all coding benchmarks, which is a great sign for future progress. |
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More details on their model card [here](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1) |
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## Special thanks |
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🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible. |
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🙏 Special thanks to [Kalomaze](https://github.com/kalomaze) for his dataset (linked [here](https://github.com/ggerganov/llama.cpp/discussions/5263)) that was used for calculating the imatrix for these quants, which improves the overall quality! |
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## Disclaimers |
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LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio. |
