|
--- |
|
base_model: |
|
- apple/DiffuCoder-7B-Base |
|
tags: |
|
- code |
|
- text-diffusion-model |
|
- diffusion large language model |
|
license: unknown |
|
--- |
|
### DiffuCoder-7B-Instruct |
|
|
|
The DiffuCoder-7B-Instruct model builds on the DiffuCoder-7B-Base checkpoint with instruction-tuning to better follow code-related prompts. |
|
|
|
- Training recipe: with a newly introduced pad token, we train this model with fixed length conditionally on [OpenCoder-SFT](https://huggingface.co/datasets/OpenCoder-LLM/opc-sft-stage2) data for 5 epochs. |
|
|
|
- Benchmarks: Demonstrates stronger instruction-following capabilities than the Base model. |
|
|
|
|
|
#### More details and usage examples: |
|
|
|
- Paper: [DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation](https://arxiv.org/abs/2506.20639) |
|
|
|
- GitHub: https://github.com/apple/ml-diffucoder |
|
|
|
#### Acknowledgement |
|
To power this HuggingFace model release, we reuse [Dream](https://huggingface.co/Dream-org/Dream-v0-Base-7B)'s modeling architecture and generation utils. |
|
|