Text Generation
PEFT
Safetensors
English
Turkish
qwen3
lora
research-reasoning
question-answering
evidence-grounded
structured-generation
json
rejection-sampling
reinforcement-learning
conversational
Instructions to use Ethosoft/Qwen3-1.7B-ResearchReasoning-JSON-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ethosoft/Qwen3-1.7B-ResearchReasoning-JSON-RL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "Ethosoft/Qwen3-1.7B-ResearchReasoning-JSON-RL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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