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Ballistic-CodeLlama-34B-v1

Text Generation
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Safetensors
llama
code llama
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Ballistic-CodeLlama-34B-v1
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---
license: llama2
tags:
- code llama
base_model: BallisticAI/Ballistic-CodeLlama-34B-v1
inference: false
model_creator: BallisticAI
model_type: llama
prompt_template: '### System Prompt

  {system_message}


  ### User Message

  {prompt}


  ### Assistant

  '
quantized_by: BallisticAI
model-index:
- name: Ballistic-CodeLlama-34B-v1
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: n/a
      value: n/a
      name: n/a
      verified: false
---



# CodeLlama 34B v1 
- Model creator: [BallisticAI](https://huggingface.co/BallisticAI)
- Based on: [CodeLlama 34B hf](https://huggingface.co/codellama/CodeLlama-34b-hf)
- Merged with: [CodeLlama 34B v2](https://huggingface.co/Phind/Phind-CodeLlama-34B-v2) && [speechless-codellama-34b-v2](https://huggingface.co/uukuguy/speechless-codellama-34b-v2.0)
- Additional training with: [jondurbin/airoboros-2.2](https://huggingface.co/datasets/jondurbin/airoboros-2.2)


<!-- description start -->
## Description

This repo contains model for [Ballistic-CodeLlama-34B-v1](https://huggingface.co/BallisticAI/Ballistic-CodeLlama-34B-v1).

<!-- description end -->

<!-- repositories-available start -->
## Repositories available

* [AWQ model for GPU inference.](https://huggingface.co/BallisticAI/Ballistic-CodeLlama-34B-v1-AWQ)
* [GGUF model for CPU inference.](https://huggingface.co/BallisticAI/Ballistic-CodeLlama-34B-v1-GGUF)
<!-- repositories-available end -->


<!-- prompt-template start -->
## How to Prompt the Model
This model accepts the Alpaca/Vicuna instruction format.

For example: 

```
### System Prompt
You are an intelligent programming assistant.

### User Message
Implement a linked list in C++

### Assistant
...
```

<!-- prompt-template end -->


## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->
This model has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.



## Thanks

Thanks to:

- The Original Llama team
- [Phind](https://huggingface.co/phind)
- [uukuguy](https://huggingface.co/uukuguy)
- [jondurbin](https://huggingface.co/jondurbin)
- And everyone else who's involved in the Open Source AI/ML Community.