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em908
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Model Details
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em908
Model Tree
Qwen/Qwen2.5-Coder-1.5B-Instruct
Input Modalities
Output Modalities
Supported Functionality
| arm | exec_rate | exact_match |
|---|---|---|
| Qwen2.5-Coder-1.5B-Instruct | 0.533 | 0.293 |
| + this adapter | 0.620 | 0.253 |
Execution rises 8.7 points; exact match against bare-script references falls 4.0 points (the adapter adopts a wrapper-function answer style; see paper section 6 for the mechanism).
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModel base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct", torch_dtype="bfloat16").cuda()model = PeftModel.from_pretrained(base, "em908/analyst-v1")model = model.merge_and_unload().eval()em908/analyst-data (same pair counts, same execution filter).
Apache-2.0 (matches the base model).