BTL-3 launches as a 27B open-weight agent model in an 8.39GB file
QuixiAI · x · 2026-07-23
RT of the launch of BTL-3, a 27B open-weight agent model for coding and tool use.
- The full model is compressed into a single 8.39 GB file at under 2.5 bits per parameter.
- It is trained for the agent loop: reason, act, inspect results, recover, continue.
- Reported scores include 95.12% HumanEval pass@1, 88.5% BFCL v4 AST, 95.5% multiple tool calls, and 91.2% tool-call abstention.
- The model supports 262K context and ships in two editions: a high-quality checkpoint for Transformers/vLLM and a standalone GGUF compact version.
Related event: BTL-3 Releases 27B Open-Source Agentic Coding Model(2 posts)→
More from coding & agent
- Alex Townsend posts 200 open problems in numerical linear algebra for humans and AI agents — IgorCarron · 2026-09-11
- Kimi K2.8 Preview rolls out: near-K3 coding performance, 1M context for all tiers — teortaxesTex · 2026-09-11
- Looking for a classifier of software engineering task shapes to pick models per task — StewartalsopIII · 2026-09-11
- Steal this idea: prompt-to-hardware where agents assemble custom devices — paraschopra · 2026-09-11
- Model Is the Least Interesting Part: A Guide to Six Core AI Architectures from RAG to Multi-Agent — goyalshaliniuk · 2026-09-11
- Non-coder builds layered memory architecture: 20k tokens tracks a year of agent conversations — matteoianni · 2026-09-11