LLaDA-8B
8B diffusion language model trained from scratch
About
LLaDA-8B is an 8-billion-parameter diffusion language model from Renmin University's GSAI-ML group, open-sourced in February 2025 alongside its paper. Instead of generating left to right, it denoises masked text, and the team reports performance rivaling LLaMA 3 8B. Inference needs custom sampling code rather than standard autoregressive pipelines, and the exact license terms should be confirmed on the Hugging Face card before commercial use.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Team-reported: rivals LLaMA 3 8B in performance at the same scale.
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Paper and weights released 2025-02-14 by Renmin University's GSAI-ML group (arXiv:2502.09992); 8B masked-diffusion LM trained from scratch; 'rivals LLaMA 3 8B' is team-reported; Exact license terms not pinned down this session — entry and description flag confirming on the HF card before commercial use; Custom diffusion sampling code required; not a drop-in autoregressive replacement. License: Open weights; exact license terms unconfirmed — check the Hugging Face card (GSAI-ML/LLaDA-8B-Base) before commercial use..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 6.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Openness · license + docs
- 7.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · Paper and weights released 2025-02-14 by Renmin University's GSAI-ML group (arXiv:2502.09992)
- · 8B masked-diffusion LM trained from scratch; 'rivals LLaMA 3 8B' is team-reported
- · Exact license terms not pinned down this session — entry and description flag confirming on the HF card before commercial use
- · Custom diffusion sampling code required; not a drop-in autoregressive replacement