@maximelabonne: It didn't take two days to get the first fine-tunes of LFM2.5-2.6B. This one looks cool!
Summary
Maxime Labonne highlights early fine-tunes of LFM2.5-2.6B, while Bad Theory Labs releases two open-weight models: BTL-4 35B, a frontier agentic reasoning model, and Macaw 2.7B, an on-device Mac agent, with notable BFCL v4 performance.
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It didn’t take two days to get the first fine-tunes of LFM2.5-2.6B. This one looks cool! https://t.co/JFY4rZasXD
Bad theory labs (@Badtheorylabs): Releasing BTL-4 35B and Macaw 2.7B a frontier agentic reasoning model and an on-device Mac agent. Both open weights, both available now.
• 73.5% BFCL v4 (AST) — +4.3 over the base model, paired: identical harness, identical decoding, only the weights differ, all 1240 cases
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