metadata
library_name: transformers
tags: []
Model Card for Model ID
This repository hosts a supervised fine-tuned (SFT) version of the Qwen/Qwen3-0.6B-Base language model, trained on the Tandogan/sft_dataset_big dataset.
Model Details
- Model name:
Qwen/Qwen3-0.6B-Base - Fine-tuned on:
Tandogan/sft_dataset_big
Intended Uses
- Primary use case: Tasks requiring generation of human-like text in domains covered by the fine-tuning dataset.
- Examples: Question answering, text summarization, code completion, conversational agents.
- Not suitable for: Safety-critical applications, generating legal or medical advice without human oversight.
How to Use
You can use the model with the transformers and trl libraries for inference or evaluation:
from transformers import AutoTokenizer, AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Tandogan/sft_finetuned_big").to("cuda")
tokenizer = AutoTokenizer.from_pretrained("Tandogan/sft_finetuned_big")
prompt = "Explain recursion in simple terms."
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))