🏁 BENCHMARKED: @thewebAI's TwIL-8B, an 8.8B open-weight reasoning model, just went…
This is a AI post classified by AGK Intelligence as Open & local models (a model release), kept by the AI Radar because it carries real work, not commentary.
🏁 BENCHMARKED: @thewebAI's TwIL-8B, an 8.8B open-weight reasoning model, just went 69/69 on my tests running on my 64GB M5 Pro Mac mini. The 4-bit MLX build runs at 53.8 tok/s from a 4.9 GB file. Full bf16 with the whole 128K context fits too, peaking at 40.5 GB on a 64GB machine. Same scores on both builds, thinking on: ✅ Math 20/20 ✅ Code 10/10 ✅ Instruction following 10/10 ✅ Harder math 8/8 ✅ Harder code 5/5 ✅ Tool calls 5/5 ✅ Hidden fact at 32K and 64K: 8/8 ✅ Hidden fact at full 128K: 3/3 (bf16) 4-bit speed by context: - 512: 53.8 tok/s - 32K: 26.6 tok/s - 128K: 9.2 tok/s at 27.9 GB p
Posted by Pratik Gandhi (12.5k followers) 1 days ago · 118 likes · 10.7k views · view the original post on X. Kept by the AI Radar as Open & local models.
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