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hbXNov/Qwen3-VL-2B-Instruct-HoneyBee
Qwen3-VL-2B-Instruct-HoneyBee is a machine learning model from hbXNov. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
We train Qwen/Qwen3-VL-2B-Instruct for 1 epoch on Meta's HoneyBee dataset.
Downloads · 30 days
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From the Hugging Face model README
We train Qwen/Qwen3-VL-2B-Instruct for 1 epoch on Meta's HoneyBee dataset.
Specifically, we use Llama-factory for training and use this processed version of the data.
We evaluate the base model and this model on 10 evals using the publicly released scripts. In particular, we also provide the adaptation of their main eval script to Qwen3-VL models using vLLM here.
The sampling params set for Qwen3 VL models were: max_tokens=2048, temperature=0.7, top_p=0.8, top_k=20, repetition_penalty=1.0, presence_penalty=1.5 for both the models.
| Model | Average | Mathverse (vision only) | Mathvista | Mathvision (testmini) | We-Math | Math500 | GPQA-D | Logicvista | Dynamath | Hallusionbench | MMMU-Pro (Vision) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| qwen3-2b-vl-instruct | 43.2 | 36.3 | 61.6 | 27.3 | 59.8 | 61.8 | 7.6 | 27.9 | 49.5 | 65.0 | 34.8 |
| qwen3-2b-vl-instruct (1epoch HoneyBee) | 49.4 | 43.9 | 63.0 | 28.0 | 66.2 | 63.4 | 35.9 | 44.0 | 50.5 | 66.1 | 32.7 |