| | --- |
| | library_name: transformers |
| | tags: |
| | - code |
| | datasets: |
| | - Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped |
| | - m-a-p/Code-Feedback |
| | - openbmb/UltraInteract_sft |
| | - ise-uiuc/Magicoder-Evol-Instruct-110K |
| | - flytech/python-codes-25k |
| | metrics: |
| | - code_eval |
| | pipeline_tag: text-generation |
| | license: other |
| | license name: deepseek |
| | --- |
| | ## AIGCodeGeek-DS-6.7B |
| |
|
| | ### Introduction |
| | AIGCodeGeek-DS-6.7B is our first released version of a Code-LLM family with competitive performance on public and private benchmarks. |
| |
|
| | ### 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 samples from high-quality open-source (read *Acknowledgements*) and our private datasets. |
| | We have made contamination detection as Magicoder/Bigcode did (https://github.com/ise-uiuc/magicoder/blob/main/src/magicoder/decontamination/find_substrings.py). |
| | |
| | ### Evaluation |
| | results to be added. |
| | |
| | ### Requirements |
| | It should work with the same requirements as DeepSeek-Coder-6.7B or the following packages: |
| | |
| | ```torch>=2.0 |
| | tokenizers>=0.14.0 |
| | transformers>=4.35.0 |
| | accelerate |
| | sympy>=1.12 |
| | pebble |
| | timeout-decorator |
| | attrdict |
| | ``` |
| | |
| | |
| | ### QuickStart |
| | |
| | ```python |
| | import torch |
| | from transformers import AutoTokenizer, AutoModelForCausalLM |
| | tokenizer = AutoTokenizer.from_pretrained("aigcode/AIGCodeGeek-DS-6.7B", trust_remote_code=True) |
| | model = AutoModelForCausalLM.from_pretrained("aigcode/AIGCodeGeek-DS-6.7B", trust_remote_code=True, torch_dtype=torch.bfloat16).cuda() |
| | messages=[ |
| | { 'role': 'user', 'content': "write a merge sort algorithm in python."} |
| | ] |
| | inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device) |
| | # tokenizer.eos_token_id is the id of <|EOT|> token |
| | outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id) |
| | print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)) |
| | ``` |
| | |
| |
|
| | ### Acknowledgements |
| | We gain a lot of knowledge and resources from the open-source community: |
| | - [DeepSeekCoder](https://huggingface.co/deepseek-ai): impressive model series and insightful tech reports |
| | - [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder): Evol Instruct and public datasets |
| | - We used a ([Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped](https://huggingface.co/datasets/Leon-Leee/wizardlm_evol_instruct_v2_196K_backuped)) since this original has been deleted. |
| | - [Magicoder](https://github.com/ise-uiuc/magicoder/): OSS-Instruct, [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): creative datasets for reasoning, [openbmb/UltraInteract_sft](https://huggingface.co/datasets/openbmb/UltraInteract_sft) |
| | - [OpenCoderInterpreter](https://opencodeinterpreter.github.io/): well-designed system and datasets [m-a-p/Code-Feedback](https://huggingface.co/datasets/m-a-p/Code-Feedback) |
| | - [flytech/python-codes-25k](https://huggingface.co/datasets/flytech/python-codes-25k): diversity |
| | - [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory): easily used to finetune base models |
