Pre-generation tool-call gating via linear probes on LLM hidden states. F1 ≈ 0.91–0.94 on BFCL v4, ×ばつ faster than full generation. Cross-architecture transfer across Llama / Qwen / Phi / Mistral (3B–7B) with ≥96% retention.
A bf16 LoRA fine-tune of Qwen 3.5 4B for function calling on xLAM. v1.0 ships below the BFCL gate with full per-category failure analysis.
Independent audit of a fine-tuned LLM tool-calling PoC — BFCL regression decomposition, inference stack risk assessment, and production recommendation for a FinTech client. Qwen-2.5, LoRA, SGLang, H100.
Open LLM leaderboard featuring Xiaomi MiMo v2.5 & MiMo 100T head-to-head with GPT-5, Claude, Gemini, DeepSeek, Llama 4. ARC-AGI · SWE-Bench · MMLU-Pro · GPQA · HumanEval · BFCL.
Tool-call reliability fine-tuning lab with open-weight model training, benchmark evaluation, and serving notes.
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