BTL-3

BTL-3 A 27B open-weight agent model for agentic coding and structural tool use 95.1% HumanEval · 88.5% BFCL v4 AST · 88.1% LiveCodeBench v6 (193-case run)** Compact edition · Runtime source · Bad Theory Labs · Discord Introducing BTL-3 BTL-3 is a 27B open-weight agent model built for agentic coding, structural tool use, repository work, failure recovery, and long multi-turn execution. The release includes the full BTL-3 model and BTL-3 Compact, which packages the complete text model into one **8.39 GB** native file. That is smaller than an 8B model stored in FP16 and corresponds to an effective artifact footprint of **under 2.5 bits per parameter**. On a fresh private 100-turn tool-contract gate, BTL-3 Compact retained **83 of the 90 behaviors the full model completed correctly: 92.2% measured conditional tool-behavior retention**. Overview BTL-3 is a post-trained Qwen3.6-27B model for coding agents, repository work, structured tool use, and long multi-turn execution. It is tuned to reason, act, inspect tool results, recover from failures, and stop when no action is required. This repository contains the frozen **RL-0013 rank-32 PEFT adapter** and its tokenizer configuration. The base checkpoint is pinned to an exact revision for reproducible loading. Highlights Strong structured tool use across single, multiple, and parallel calls. **91.2% BFCL irrelevance**, measuring when the model correctly avoids an unnecessary tool call. Thinking-mode coding with **95.12% HumanEval pass@1**. Qwen3.6 hybrid-attention architecture with a declared **262,144-token** context window. Open weights under Apache-2.0, deployable with Transformers or vLLM. An independent 8.39 GB Compact edition is available for native local inference. Results All values below belong to the frozen BTL-3 RL-0013 release. | Evaluation | Score | Protocol | |---|---:|---| | BFCL v4 AST | **88.5% (1097/1240)** | Complete official full set | | HumanEval | **95.12% (156/164)** | pass@1, thinking mode | | LiveCod