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qwen3.5-2b-shopsimulator-sft-512-1ep
mrzhao13/qwen3.5-2b-shopsimulator-sft-512-1ep
qwen3.5-2b-shopsimulator-sft-512-1ep is a image-text-to-text model from mrzhao13. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This is a Hugging Face export of Qwen/Qwen3.5-2B after one epoch of supervised fine-tuning on successful ShopSimulator teacher trajectories. Training used the Pi agent harness and the modified Slime integration.
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_5
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026
- SHA
- e922a0de
Base models
Model card
From the Hugging Face model README
Qwen3.5-2B ShopSimulator SFT-512 1 Epoch
This is a Hugging Face export of Qwen/Qwen3.5-2B after one epoch of
supervised fine-tuning on successful ShopSimulator teacher trajectories.
Training used the Pi agent harness and the modified Slime integration.
The fine-tuning data is text-only. The checkpoint retains the original multimodal architecture, but visual capabilities were not trained or evaluated in this experiment.
Training
| Item | Value |
|---|---|
| Base model | Qwen/Qwen3.5-2B |
| Teacher | deepseek-v4-flash, thinking disabled |
| Collection | 512 tasks, one candidate per task |
| Accepted trajectories | 412 (80.47% task coverage) |
| Turn-level SFT examples | 6,153 |
| Epochs | 1 |
| Optimizer steps | 2,051 |
| Global batch size | 3 |
| Learning rate | 1e-5 |
| Maximum tokens per GPU | 12,288 |
| Longest prepared example | 8,162 tokens at conversion time |
| Loss mask | Qwen3.5 multi-turn mask; template-injected empty think blocks excluded |
| Training framework | Slime + Megatron-LM |
| Hardware | One NVIDIA Pro 6000D 84 GB |
| Weight identity SHA-256 | 8a98272246a3dbd4c59d64e3981807e6b7719007880cf2aed9fe0996e76f8a7d |
The training dataset repository is currently private while the redistribution status of the upstream ShopSimulator task content is being clarified.
Evaluation
The following results use the same modified ShopSimulator service, deterministic
price generation, fixed official_test_200 task slice, and one rollout per
task. These are k=1 point estimates, not uncertainty estimates.
| Model | Positive-reward pass@1 | Strict-success pass@1 | mean@1 r_loose | mean@1 r_hard |
|---|---|---|---|---|
| Qwen3.5-2B | 2.0% | 0.0% | 0.004286 | 0.000000 |
| This SFT checkpoint | 72.5% | 10.5% | 0.389829 | 0.124417 |
Usage
Use this repository as a drop-in replacement for Qwen/Qwen3.5-2B with a
recent Transformers version that supports Qwen3.5. Refer to the
official Qwen3.5-2B model card for
loading and inference examples, replacing the model ID with this repository.
For ShopSimulator agent evaluation, use the Pi extension, prompt template and
environment adapter from the companion pi-slime-shopsimulator source
repository when it is published.
Limitations
- Fine-tuned only on Chinese ShopSimulator trajectories.
- Evaluated only in the patched text-based ShopSimulator environment.
- The deterministic pricing patch changes scores relative to the unpatched upstream environment.
- The official evaluation contains 200 tasks with one stochastic rollout each.
- Visual behavior, general instruction following and deployment safety were not evaluated.
- Teacher-generated content may contain errors.
License and attribution
The base model and these derivative weights are distributed under Apache-2.0.
The original Qwen license is included in LICENSE. This model card identifies
the checkpoint as modified and does not grant rights to third-party
ShopSimulator task or environment content.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5
- License
- apache-2.0
- Languages
- zh
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026