BTL-3 launches as a 27B open-weight agentic coding model with 95.12% HumanEval
soteko · reddit · 2026-07-23
Bad Theory Labs releases BTL-3, a 27B open-weight agentic coding and tool-use model designed to run locally in a single compact file.
- The model is built for the full agent loop: reason → act → inspect → recover → continue.
- A compact edition fits in 8.39 GB as a standalone GGUF, with no base model download or reconstruction.
- Reported results include 95.12% HumanEval pass@1, 88.5% BFCL v4 AST, 95.5% multiple tool calls, and 91.2% tool-call abstention.
- The team says the compressed model retains 92.2% of teacher-correct behavior while running at 43 tok/s on an RTX PRO 6000.
- Both the model weights and runtime/source are open today under Apache-2.0 and MIT.
Related event: BTL-3 Releases 27B Open-Source Agentic Coding Model(2 posts)→
More from coding & agent
- Cognition's SWE-2 uses a KKT duality argument in RL to shift the effort Pareto curve — YouJiacheng · 2026-09-11
- First-ever Three.js Conference lands in Paris, with a panel on AI-shortened design workflows — OdinLovis · 2026-09-11
- Data engineering, not agent frameworks, is the real bottleneck for enterprise AI agents — dhruv2038 · 2026-09-11
- RTK Terminal Compression Cuts Tokens but Leaves Your AI Coding Bill Unchanged — Bartaseth · 2026-09-11
- GPT-6 Astra beats Factorio with enemies in 44 in-game hours at ~$4,500 API cost — liminal_bardo · 2026-09-11
- Investment Analyst Asks How to Build a Claude-Based Diligence Agent Stack — Careless_Tie2286 · 2026-09-11