> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server.

# Diffusion Language Models

## Docs

- [Diffusion Language Models (dLLMs)](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/overview.md): 
- [Google](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/google.md): Browse NeMo AutoModel coverage for Google diffusion language models.
- [diffusiongemma-26B-A4B-it](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/google/diffusiongemma-26B-A4B-it.md): Use diffusiongemma-26B-A4B-it with NeMo AutoModel for diffusion language model fine-tuning, including checkpoints, runnable recipes, setup, and reference details.
- [GSAI ML](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/gsai-ml.md): Browse NeMo AutoModel coverage for GSAI ML diffusion language models.
- [LLaDA-8B-Base](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/gsai-ml/LLaDA-8B-Base.md): Fine-tune LLaDA-8B-Base as a diffusion language model with NeMo AutoModel using checked-in full-parameter and LoRA recipes.
- [Inclusion AI](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/inclusionai.md): Browse NeMo AutoModel coverage for Inclusion AI diffusion language models.
- [LLaDA2.1-mini](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/inclusionai/LLaDA2.1-mini.md): Fine-tune LLaDA2.1-mini as a mixture-of-experts diffusion language model with NeMo AutoModel using full-parameter and LoRA recipes.
- [NVIDIA](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/nvidia.md): Browse NeMo AutoModel coverage for NVIDIA diffusion language models.
- [Nemotron-Labs-Diffusion-8B-Base](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/nvidia/Nemotron-Labs-Diffusion-8B-Base.md): Fine-tune Nemotron-Labs-Diffusion-8B-Base with NeMo AutoModel using checked-in full-parameter and LoRA diffusion language model recipes.
- [Qwen](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/qwen.md): Browse NeMo AutoModel coverage for Qwen diffusion language models.
- [Qwen3-8B](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/qwen/Qwen3-8B.md): Convert and fine-tune Qwen3-8B as a diffusion language model with NeMo AutoModel using the checked-in I-DLM recipe and text checkpoint.
- [Z Lab](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/z-lab.md): Browse NeMo AutoModel coverage for Z Lab diffusion language models.
- [Qwen3-4B-DFlash-b16](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/dllm/z-lab/Qwen3-4B-DFlash-b16.md): Train Qwen3-4B-DFlash-b16 as a speculative-decoding draft model with NeMo AutoModel using the checked-in DFlash recipe and frozen Qwen3 target.