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Occupying-Mars/issue49-k160-r32-len1024-adapter
issue49-k160-r32-len1024-adapter is a text generation model from Occupying-Mars. Use it when you need the model to write or continue text. It is set up for peft.
LoRA adapter for Qwen/Qwen3-8B, trained for the circuit-shotting BFCL single-call experiments.
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.safetensors698 MB · 98%
From the Hugging Face model README
LoRA adapter for Qwen/Qwen3-8B, trained for the circuit-shotting BFCL single-call experiments.
Run details:
data/bfcl_strict_10k_mix/train.jsonlruns/issue49_bfcl_single_call/relp_full.npz160000 MLP channels32641024runs/issue49_bfcl_single_call/lora_bfcl10k_topk160000_r32_balanced_len1024_ckptEval 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 weightsadapter_config.json: PEFT adapter configtokenizer.json, tokenizer_config.json, chat_template.jinja: tokenizer artifactstrain_summary.json: training summaryeval_masked_summary.json: k160 masked eval summaryeval_unmasked_summary.json: unmasked eval summary