Instructions to use build-small-hackathon/hackathon-advisor-quest-minicpm5-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use build-small-hackathon/hackathon-advisor-quest-minicpm5-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM5-1B") model = PeftModel.from_pretrained(base_model, "build-small-hackathon/hackathon-advisor-quest-minicpm5-lora") - Notebooks
- Google Colab
- Kaggle
Publish Hackathon Advisor quest-classification MiniCPM5 LoRA
Browse files
README.md
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---
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base_model: openbmb/MiniCPM5-1B
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library_name: peft
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tags:
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- lora
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- hackathon-advisor
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## Dataset
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156 chat-JSONL examples built from real `build-small-hackathon` Spaces: 108 teacher-
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labelled + adversarially-verified projects plus targeted augmentations (app-only,
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readme-only / missing app file, README↔app contradictions, empty matches, noisy
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metadata). All 13 quests covered.
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---
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base_model: openbmb/MiniCPM5-1B
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library_name: peft
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datasets:
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- build-small-hackathon/hackathon-advisor-quest-dataset
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tags:
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- lora
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- hackathon-advisor
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## Dataset
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[`build-small-hackathon/hackathon-advisor-quest-dataset`](https://huggingface.co/datasets/build-small-hackathon/hackathon-advisor-quest-dataset) — 156 chat-JSONL examples built from real `build-small-hackathon` Spaces: 108 teacher-
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labelled + adversarially-verified projects plus targeted augmentations (app-only,
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readme-only / missing app file, README↔app contradictions, empty matches, noisy
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metadata). All 13 quests covered.
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