ML-GSAI/LLaDA

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3943 stars · 276 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Official PyTorch implementation of LLaDA, a family of large language diffusion models (8B base/instruct, MoE, and iLLaDA variants) with pretrained weights on Hugging Face. Includes inference code, batch inference, and lm-evaluation-harness-based evaluation.

Use cases

• run inference with a diffusion-based language model
• evaluate a diffusion LLM on standard benchmarks
• experiment with masked diffusion text generation
• try an alternative to autoregressive LLMs
• fine-tune or study large language diffusion models
• generate text with an 8B diffusion model in PyTorch

When to choose

• you want to research or experiment with diffusion-based language models
• you need official weights and evaluation code for LLaDA
• you want a non-autoregressive alternative to transformer LLMs

When to avoid

• you need a production-ready LLM serving stack
• you lack GPU resources for 8B-scale models
• you need a permissively licensed model for commercial use (no license specified)

Facets

library · maturity active

llm-inference machine-learning deep-learning llm-training benchmarking large-language-models deep-learning artificial-intelligence python diffusion-language-model pytorch research-code masked-diffusion huggingface natural-language-processing gpu linux

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markdown · JSON · MCP: product_card(name="ML-GSAI/LLaDA")