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Genie2k/qwen3-0.6b-sft
qwen3-0.6b-sft is a text generation model from Genie2k. Use it when you need the model to write or continue text. It is set up for peft.
This is a Supervised Fine-Tuned (SFT) LoRA adapter for the Qwen/Qwen3-0.6B base model. It was trained to improve instruction-following capabilities and stylistic formatting.
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From the Hugging Face model README
This is a Supervised Fine-Tuned (SFT) LoRA adapter for the Qwen/Qwen3-0.6B base model. It was trained to improve instruction-following capabilities and stylistic formatting.
This adapter applies Low-Rank Adaptation (LoRA) to the Qwen3-0.6B model to align it with human instructional prompts.
Qwen/Qwen3-0.6BThis adapter is intended to be loaded on top of the base Qwen3-0.6B model for conversational interactions, natural language generation, and instruction following.
Due to the constraints of the 0.6B parameter base model, this fine-tuned version is susceptible to persistent hallucinations and format collapse (e.g., infinite repetitive loops) on complex creative tasks. It should not be relied upon for factual accuracy without an external retrieval mechanism.
The model was fine-tuned on the vicgalle/alpaca-gpt4 dataset, utilizing the standard Alpaca chat template. A 90/10 train-evaluation split was used.
The model was trained using the SFTTrainer from the trl library with the base model's native thinking tokens disabled (enable_thinking=False).
The model was evaluated using a customized set of 10 prompts to measure semantic alignment and surface-level string matching.