Model: OliverSlivka/qwen2.5-7b-itemset-extractor Source: Original Platform
base_model, library_name, pipeline_tag, tags
| base_model | library_name | pipeline_tag | tags | ||||
|---|---|---|---|---|---|---|---|
| Qwen/Qwen2.5-7B-Instruct | peft | text-generation |
|
Qwen2.5-7B SFT Frequent Itemset Extractor
This repository stores the exact PEFT LoRA SFT adapter used for the thesis
evaluation. It is intended to be loaded on top of Qwen/Qwen2.5-7B-Instruct with PEFT.
- Adapter checkpoint SHA-256:
f1dfb89164225c3f1f107a486271acab6c2d076e791241360bdc0d6466e416e2 - Expected loader:
Qwen2ForCausalLM.from_pretrained('Qwen/Qwen2.5-7B-Instruct', quantization_config=NF4, attn_implementation="sdpa")plusPeftModel.from_pretrained(...) - Expected eval profile:
primary_v3two-phase decoding
Description
Languages
Jinja
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