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---
license: apache-2.0
datasets:
- Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped
- m-a-p/Code-Feedback
- openbmb/UltraInteract_sft
- ise-uiuc/Magicoder-Evol-Instruct-110K
language:
- en
metrics:
- code_eval
library_name: transformers
tags:
- code
---
## AIGCodeGeek-DS-6.7B
### Introduction
AIGCodeGeek-DS-6.7B is the first version of our Code-LLM family with competitive performance on benchmarks such as HumanEval(+) and MBPP(+).
It gains a lot of insights from the open-source community and we deeply appreciate all of these great works.
We are preparing for the tech report, so stay tuned for more details.
### Model Details
#### Model Description
- Developed by: [Leon Li](https://huggingface.co/Leon-Leee)
- License: [DeepSeek](https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/LICENSE-MODEL)
- Fine-tuned from [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) with full parameters
### Training data
A mixture of both
- samples from several high-quality open-source datasets (read *Acknowledgements*),
- our private datasets (already decontaminated with benchmarks).
### Evaluation
To check out our evaluation results: [EvalPlus](https://evalplus.github.io/leaderboard.html)
### Requirements
It should work with the same requirements as DeepSeek-Coder-6.7B
```torch>=2.0
tokenizers>=0.14.0
transformers>=4.35.0
accelerate
sympy>=1.12
pebble
timeout-decorator
attrdict
```
### QuickStart
TBD
```
```
### Limits
### Acknowledgements
- [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder): WizardLM-Evol-Instruct V2 datasets
- We used a back-up([Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped](https://huggingface.co/datasets/Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped)) since this dataset has been deleted.
- [Magicoder](https://github.com/ise-uiuc/magicoder/): [Magicoder-Evol-Instruct-110K](https://huggingface.co/datasets/ise-uiuc/Magicoder-Evol-Instruct-110K) from theblackcat102/evol-codealpaca-v1(https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1)
- [Eurus](https://github.com/OpenBMB/Eurus): reasoning enhancement dataset of [openbmb/UltraInteract_sft](https://huggingface.co/datasets/openbmb/UltraInteract_sft)
- [OpenCoderInterpreter](https://opencodeinterpreter.github.io/): [m-a-p/Code-Feedback](https://huggingface.co/datasets/m-a-p/Code-Feedback) |