dataset: data/bfcl_strict_10k_mix/train.jsonl
mask attribution: runs/issue49_bfcl_single_call/relp_full.npz
mask size: 160000 MLP channels
LoRA rank: 32
LoRA alpha: 64
max sequence length: 1024
training output: runs/issue49_bfcl_single_call/lora_bfcl10k_topk160000_r32_balanced_len1024_ckpt

Eval on the 1007-row BFCL single-turn/single-call slice, with canonicalization prompt and normalized exact matching:

condition	score
unmasked merged model	683/1007 = 67.83%
k160 masked merged model	418/1007 = 41.51%

Included files:

adapter_model.safetensors: PEFT LoRA adapter weights
adapter_config.json: PEFT adapter config
tokenizer.json, tokenizer_config.json, chat_template.jinja: tokenizer artifacts
train_summary.json: training summary
eval_masked_summary.json: k160 masked eval summary
eval_unmasked_summary.json: unmasked eval summary

Occupying-Mars/issue49-k160-r32-len1024-adapter

BFCL v2 strict-mix k160 r32 LoRA adapter