ByteDance iLLaDA: 8B Diffusion LM Matches Qwen2.5 Base, Lags on Instruct
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ByteDance iLLaDA, an 8B diffusion LM trained on 12T tokens, matches Qwen2.5 7B on base benchmarks (63.9 vs 63.3) but trails 10 points after instruction tuning, revealing the alignment gap for diffusion models. ByteDance and Renmin University released iLLaDA, an 8B diffusion language model that matches Qwen2.5 7B on base benchmarks but trails by 10 points after instruction tuning. The model, trained from scratch on 12 trillion tokens, represents a bet that diffusion can compete with…
1Key Takeaways
- ByteDance iLLaDA, an 8B diffusion LM trained on 12T tokens, matches Qwen2.5 7B on base benchmarks (63.9 vs 63.3) but trails 10 points after instruction tuning, revealing the alignment gap for diffusion models.
- ByteDance and Renmin University released iLLaDA, an 8B diffusion language model that matches Qwen2.5 7B on base benchmarks but trails by 10 points after instruction tuning.
- The model, trained from scratch on 12 trillion tokens, represents a bet that diffusion can compete with….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that byteDance iLLaDA, an 8B diffusion LM trained on 12T tokens, matches Qwen2.5 7B on base benchmarks (63.9 vs 63.3) but trails 10 points after instruction tuning, revealing the alignment gap for diffusion models.
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