Text Generation
PEFT
Safetensors
clinical-trial
reinforcement-learning
REINFORCE
lora
qwen3
openenv
hackathon
theme-2
conversational
Instructions to use pratimassaravanan/clinical-qwen3-4b-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pratimassaravanan/clinical-qwen3-4b-sft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-4B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "pratimassaravanan/clinical-qwen3-4b-sft-lora") - Notebooks
- Google Colab
- Kaggle
v2: 10K+ diverse traces, heuristic ID eval
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
adapter_config.json
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"rank_pattern": {},
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"task_type": "CAUSAL_LM",
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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