README.md

---
pipeline_tag: text-generation
base_model: bigcode/starcoder2-15b
datasets:
- bigcode/self-oss-instruct-sc2-exec-filter-50k
license: bigcode-openrail-m
library_name: transformers
tags:
- code
model-index:
- name: starcoder2-15b-instruct-v0.1
  results:
  - task:
      type: text-generation
    dataset:
      name: LiveCodeBench (code generation)
      type: livecodebench-codegeneration
    metrics:
    - type: pass@1
      value: 20.4
  - task:
      type: text-generation
    dataset:
      name: LiveCodeBench (self repair)
      type: livecodebench-selfrepair
    metrics:
    - type: pass@1
      value: 20.9
  - task:
      type: text-generation
    dataset:
      name: LiveCodeBench (test output prediction)
      type: livecodebench-testoutputprediction
    metrics:
    - type: pass@1
      value: 29.8
  - task:
      type: text-generation
    dataset:
      name: LiveCodeBench (code execution)
      type: livecodebench-codeexecution
    metrics:
    - type: pass@1
      value: 28.1
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: humaneval
    metrics:
    - type: pass@1
      value: 72.6
  - task:
      type: text-generation
    dataset:
      name: HumanEval+
      type: humanevalplus
    metrics:
    - type: pass@1
      value: 63.4
  - task:
      type: text-generation
    dataset:
      name: MBPP
      type: mbpp
    metrics:
    - type: pass@1
      value: 75.2
  - task:
      type: text-generation
    dataset:
      name: MBPP+
      type: mbppplus
    metrics:
    - type: pass@1
      value: 61.2
  - task:
      type: text-generation
    dataset:
      name: DS-1000
      type: ds-1000
    metrics:
    - type: pass@1
      value: 40.6
quantized_by: bartowski
lm_studio:
  param_count: 15b
  use_case: coding
  release_date: 30-04-2024
  model_creator: BigCode
  prompt_template: Starcoder2 Instruct
  system_prompt: none
  base_model: starcoder2
  original_repo: bigcode/starcoder2-15b-instruct-v0.1
---

## 💫 Community Model> Starcoder2 15B Instruct v0.1 by BigCode

*👾 [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)*.

**Model creator:** [bigcode](https://huggingface.co/bigcode)<br>
**Original model**: [starcoder2-15b-instruct-v0.1](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1)<br>
**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>

## Model Summary:
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>
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>
Starcoder2 has been primarily finetuned for Python code generation and as such should primarily be used for Python tasks.

## Prompt Template:

Choose the 'Starcoder2 Instruct' preset in your LM Studio. 

Under the hood, the model will see a prompt that's formatted like so:

```
<|endoftext|>You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.

### Instruction
{prompt}

### Response
<|endoftext|>
```

## Use case and examples

This model should be used for single turn coding related instructions.

## Coding with requirements

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/rNqulMDumAp7s1LdIAerC.png)

## Creating unit tests

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/q_VNUflz6tcAScY_yDLet.png)

## More coding examples

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/QTXYlWITzko8Put9QXPL5.png)

## Technical Details

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.

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)

And the code used to create the self-alignment has been shared here: [starcoder2-self-align](https://github.com/bigcode-project/starcoder2-self-align)

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.

More details on their model card [here](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1)

## Special thanks

🙏 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.

🙏 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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