Qwen3.5-9B — Blog-Provider-ID — Cold-Start SFT warm-up (60 steps)

Method: 60-step SFT from base on 1071 verifier-passed STaR reasoning traces (<reason_why>/<answer>). The Phase-1 warm-start for the cold-start RL ablation — teaches the reasoning format + a competent prior, not to solve the task.

Result: lifts the reasoning-channel starting policy to val ~0.67 at 0% truncation (vs ~0.13–0.21 for base init). Used to initialise the cold-start RL run (see -coldstart-rl).

  • Base model: Qwen/Qwen3.5-9B (thinking OFF)
  • Task: 3-way AI-provider classification — given a blog/essay, identify whether it was written by CLAUDE, CHATGPT, or GEMINI. Output format: <reason_why>...</reason_why><answer>LABEL\nConfidence: ...</answer>.
  • Eval: val (in-distribution topics, n=414) and val_ood (held-out topics, n=471), zero eval leakage.
  • Provenance: prime-rl; code at https://github.com/ChinmayK0607/prime-rl/tree/blog-author-id-experiments
Downloads last month
28
Safetensors
Model size
9B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for CK0607/qwen3.5-9b-blogprovider-coldstart-sft

Finetuned
Qwen/Qwen3.5-9B
Finetuned
(494)
this model