README.md

---
license: apache-2.0
datasets:
- JetBrains/KStack
results:
  - task:
      type: text-generation
    dataset:
      name: MultiPL-HumanEval (Kotlin)
      type: openai_humaneval
    metrics:
      - name: pass@1
        type: pass@1
        value: 29.19
tags:
- code
quantized_by: bartowski
pipeline_tag: text-generation
lm_studio:
  param_count: 7b
  use_case: code completion
  release_date: 21-05-2024
  model_creator: JetBrains
  prompt_template: none
  system_prompt: none
  base_model: CodeLlama-7b
  original_repo: JetBrains/CodeLlama-7B-KStack
base_model: JetBrains/CodeLlama-7B-KStack
---
## 💫 Community Model> CodeLlama 7B KStack by JetBrains

*👾 [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:** [JetBrains](https://huggingface.co/JetBrains)<br>
**Original model**: [CodeLlama-7B-KStack](https://huggingface.co/JetBrains/CodeLlama-7B-KStack)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b2965](https://github.com/ggerganov/llama.cpp/releases/tag/b2965)<br>

## Model Summary:

This model is designed to be used exclusive for code completion and tuned specifically for Kotlin.<br>
Use this model as a coding assistant and for completion in your IDE to generate strong Kotlin code.

## Prompt template:

There is no prompt template for this model, it should be used for completion.

## Technical Details

This model is based on the CodeLlama-7b and trained on the KStack dataset found here: https://huggingface.co/datasets/JetBrains/KStack<br>
The dataset was filtered and cleaned for quality prior to training.<br>
It supports FIM tokens:
 - `'<PRE> ' + prefix + ' <SUF> ' + suffix + ' <MID>'`

## 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), [Dampf](https://github.com/Dampfinchen) and [turboderp](https://github.com/turboderp/) for their work on the dataset (linked [here](https://gist.github.com/bartowski1182/b6ac44691e994344625687afe3263b3a)) that was used for calculating the imatrix for all sizes.

## Disclaimers

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.