QyrouNnet-AI/reasoning_summarizer

reasoning_summarizer

Fine-tuned text-only Qwen3.5 2B Base model for converting reasoning-chain text into JSON metadata.

Format

Input is raw reasoning text. The model is trained to output only JSON:

{"title":"...","sub_title":"...","summary":"...","cur_task":"..."}

No system prompt was used in training.

Training

• —Base model: Qwen/Qwen3.5-2B-Base
• —Adapter source: runs/qwen3_5_2b_reasoning_json_lora/best_adapter
• —LoRA rank: 32
• —LoRA alpha: 64
• —Training context length: 1024
• —Text-only export: merged with AutoModelForCausalLM; no mmproj export

Files

• —reasoning_summarizer_hf/: merged Hugging Face safetensors checkpoint
• —reasoning_summarizer-f16.gguf: F16 GGUF
• —reasoning_summarizer-Q4_K_M.gguf: Q4 quantized GGUF
• —reasoning_summarizer-Q5_K_M.gguf: Q5 quantized GGUF
• —reasoning_summarizer-Q6_K.gguf: Q6 quantized GGUF
• —reasoning_summarizer-Q8_0.gguf: Q8 quantized GGUF