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Model: maveryn/trace-qwen2.5-vl-7b Source: Original Platform
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{"file_sha256":{"config.json":"90932c21da40bb151d29c14f73f464a46a897c04d8a9d2bc93f953e12d120141","generation_config.json":"ade5316c0962ced5772ab4317c0430758648e1993cd5c8386df03c0983d2f376","model-00001-of-00004.safetensors":"7ab31563d6aa33f4e72efc425799b36beafe4eb555b81400ca41fbac75763ec5","model-00002-of-00004.safetensors":"8926ae3db148002169d7cd4c68d5d087e50a162055a965ca11c6a20eb38f663d","model-00003-of-00004.safetensors":"eedbd2bb965b4f2c6c28a629cd35736d16b1afc39eaea340a7c1991f5cff16c5","model-00004-of-00004.safetensors":"d13f7ea286a68ee278613c6834a4720a34a9a9ec04ffd5cc6126a7bb5aa0c4a2","model.safetensors.index.json":"6faa369ab5c67b91e1781fd007cfb701678caea86fc0c92e152b7cf4e7fae791","preprocessor_config.json":"dfc7263fe735989c65c290d394198c4724d5afc58bf15c815d5e2e25b00b51b1","tokenizer.json":"9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa","tokenizer_config.json":"f64d944a98d2d9901581be7a5f36b626ff2dc0d5b7d5dedb412412ca39606df0"},"immutable_revision":"sha256set:8396b0be6a760ff7cbbdff02b3017b6b5bc352c87291480aba18fd3e3b6a13b5","registered_at":"2026-07-16T06:48:49+00:00","schema_version":"trace-model-revision-v1","slug":"trace-qwen25vl7b-answer-step500-rerun-20260715","source":"maveryn/trace-qwen25vl7b-rlvr-answer-step500-rerun-20260715T161252Z@896a3e158b912ad9f24c816fad9b790808c983b9"}
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README.md
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-VL-7B-Instruct
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datasets:
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- maveryn/trace
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pipeline_tag: image-text-to-text
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library_name: transformers
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tags:
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- multimodal
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- visual-reasoning
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- reinforcement-learning
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- grpo
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- rlvr
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- trace
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---
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# TRACE Qwen2.5-VL 7B
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TRACE Qwen2.5-VL 7B is a GRPO checkpoint derived from
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[`Qwen/Qwen2.5-VL-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct)
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and trained on 64,000 grounded visual-reasoning examples spanning 1,000 tasks
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from
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[`maveryn/trace`](https://huggingface.co/datasets/maveryn/trace). This
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repository contains the merged step-500 inference checkpoint.
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[Paper](https://arxiv.org/abs/2607.19790) ·
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[Project page](https://maveryn.github.io/trace/) ·
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[GitHub](https://github.com/maveryn/trace) ·
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[Collection](https://huggingface.co/collections/maveryn/trace-6a604291b4be4ed6399b9f24) ·
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[Training configuration](https://github.com/maveryn/trace/blob/rlvr/rlvr/configs/trace-qwen2.5-vl-7b.yaml) ·
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[Evaluation suite](https://github.com/maveryn/trace/tree/rlvr/rlvr/evaluation/trace_eval) ·
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[Run artifacts](https://huggingface.co/datasets/maveryn/trace-eval-runs)
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## Training and provenance
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| Field | Value |
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| --- | --- |
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| Base model | `Qwen/Qwen2.5-VL-7B-Instruct@cc594898137f460bfe9f0759e9844b3ce807cfb5` |
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| Dataset | `maveryn/trace@4e5b54361360296a855542b40cfd8b7f81b355fe` |
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| Method | GRPO, 500 steps, global/rollout batch 128, 8 responses per prompt |
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| Optimization | AdamW, learning rate `1e-6`, constant schedule, KL disabled |
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| Reward | `0.95 × exact JSON answer + 0.05 × valid JSON format`; annotation reward `0` |
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| Reference run | 8 NVIDIA H100 80GB GPUs |
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| Released artifact | Merged step-500 inference weights |
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The released training profile reads `prompt_answer`, scores `answer_gt`, and
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does not use the advisory `trace_supervision_mode` column. The consumed fields,
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embedded image bytes, and row order in the current dataset release were
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verified identical to the original training input in the public
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[equivalence receipt](https://github.com/maveryn/trace/blob/rlvr/rlvr/dataset_equivalence.v1.json).
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The canonical output ends with `{"answer": ...}`. Exact hashes, source
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revision, and run provenance are recorded in
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[`trace_training_provenance.json`](trace_training_provenance.json) and
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[`.trace_model_revision.json`](.trace_model_revision.json). The repository
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does not include optimizer, scheduler, trainer, or FSDP state for continuation.
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## Evaluation
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`trace_eval_v1` evaluates 24 external benchmarks and 32,805 examples per model
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and decoding seed. Scores below are the unweighted macro mean of the 24
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benchmark percentages, reported as mean ± sample standard deviation across
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seeds 42, 43, and 44.
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| Model | Overall score |
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| --- | ---: |
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| Qwen2.5-VL-7B-Instruct | 47.93 ± 0.30 |
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| TRACE Qwen2.5-VL 7B | **51.99 ± 0.17** |
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| VERO Qwen2.5-VL 7B | 52.22 ± 0.07 |
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| Game-RL Qwen2.5-VL 7B | 48.05 ± 0.45 |
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| Sphinx Qwen2.5-VL 7B | 49.34 ± 0.15 |
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| PCGRPO Qwen2.5-VL 7B | 48.80 ± 0.28 |
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| Paired improvement | **+4.06 ± 0.41** |
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Per-benchmark scores, model revisions, aggregation, and benchmark provenance
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are available in the public
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[`results.json`](https://github.com/maveryn/trace/blob/rlvr/rlvr/evaluation/trace_eval/results.json)
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and [evaluation documentation](https://github.com/maveryn/trace/blob/rlvr/rlvr/evaluation/trace_eval/README.md).
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## Usage
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```python
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from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration
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model_id = "maveryn/trace-qwen2.5-vl-7b"
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revision = "4d0f1ae8ee25022058090dbdbff61957ece7331d"
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image_url = "https://raw.githubusercontent.com/maveryn/trace/main/docs/assets/paper-domain-montage/trace-paper-domain-montage.png"
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processor = AutoProcessor.from_pretrained(model_id, revision=revision)
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model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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model_id,
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revision=revision,
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dtype="auto",
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device_map="auto",
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)
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "image", "url": image_url},
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{"type": "text", "text": "How many visual domains are shown with example images? Respond with only a JSON object using the key \"answer\"."},
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],
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}
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]
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inputs = processor.apply_chat_template(
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messages,
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tokenize=True,
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add_generation_prompt=True,
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return_dict=True,
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return_tensors="pt",
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).to(model.device)
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output_ids = model.generate(**inputs, max_new_tokens=128)
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generated_ids = [
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output[len(prompt) :] for prompt, output in zip(inputs.input_ids, output_ids)
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]
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print(processor.batch_decode(generated_ids, skip_special_tokens=True)[0])
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```
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### Verified reference answer
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For the published montage used above, the expected output is:
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```json
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{"answer": 11}
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```
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The value is backed by the committed
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[montage manifest](https://github.com/maveryn/trace/blob/main/docs/gallery/paper-domain-montage.v1.json)
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(`layout.panel_count`). This is reference ground truth, not a claim about a
|
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particular decoding run; publish qualitative model outputs only with their
|
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recorded inference settings.
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|
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The pinned revision is the checkpoint used by the canonical evaluation; later
|
||||
repository heads may update documentation without changing the model weights.
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## Intended use and limitations
|
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This checkpoint is intended for research on multimodal reasoning and
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verifiable-reward post-training. It can produce incorrect answers,
|
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unsupported reasoning, or unreliable grounding. It was trained on synthetic
|
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tasks and has not been validated for safety-critical, medical, legal, or
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autonomous decision-making uses. Results depend on the recorded prompts,
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decoding, parsers, and scorers.
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## License
|
||||
|
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This checkpoint is released under
|
||||
[Apache-2.0](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct/blob/main/LICENSE),
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consistent with the upstream base model.
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24
added_tokens.json
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{
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}
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chat_template.jinja
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{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
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You are a helpful assistant.<|im_end|>
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{% endif %}<|im_start|>{{ message['role'] }}
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{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
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{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
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{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
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{% endif %}
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131
config.json
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config.json
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{
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"architectures": [
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"Qwen2_5_VLForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "float32",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"image_token_id": 151655,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"max_position_embeddings": 128000,
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"max_window_layers": 28,
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"model_type": "qwen2_5_vl",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
|
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"num_key_value_heads": 4,
|
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"mrope_section": [
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16,
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24,
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24
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],
|
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"rope_type": "default",
|
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"type": "default"
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},
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"rope_theta": 1000000.0,
|
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"sliding_window": 32768,
|
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"text_config": {
|
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"architectures": [
|
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"Qwen2_5_VLForConditionalGeneration"
|
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],
|
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"attention_dropout": 0.0,
|
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"dtype": "float32",
|
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"eos_token_id": 151645,
|
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"hidden_act": "silu",
|
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"hidden_size": 3584,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 18944,
|
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"layer_types": [
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 128000,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2_5_vl_text",
|
||||
"num_attention_heads": 28,
|
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"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 4,
|
||||
"pad_token_id": 151643,
|
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"rms_norm_eps": 1e-06,
|
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"rope_scaling": {
|
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"mrope_section": [
|
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16,
|
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24,
|
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24
|
||||
],
|
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"rope_type": "default",
|
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"type": "default"
|
||||
},
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": null,
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vision_token_id": 151654,
|
||||
"vocab_size": 152064
|
||||
},
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.6",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"video_token_id": 151656,
|
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"vision_config": {
|
||||
"depth": 32,
|
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"dtype": "float32",
|
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"fullatt_block_indexes": [
|
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7,
|
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15,
|
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23,
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31
|
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],
|
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"hidden_act": "silu",
|
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"hidden_size": 1280,
|
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"in_channels": 3,
|
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"in_chans": 3,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 3420,
|
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"model_type": "qwen2_5_vl",
|
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"num_heads": 16,
|
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"out_hidden_size": 3584,
|
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"patch_size": 14,
|
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"spatial_merge_size": 2,
|
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"spatial_patch_size": 14,
|
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"temporal_patch_size": 2,
|
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"tokens_per_second": 2,
|
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"window_size": 112
|
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},
|
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"vision_end_token_id": 151653,
|
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"vision_start_token_id": 151652,
|
||||
"vision_token_id": 151654,
|
||||
"vocab_size": 152064
|
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}
|
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7
generation_config.json
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generation_config.json
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{
|
||||
"_from_model_config": true,
|
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"bos_token_id": 151643,
|
||||
"eos_token_id": 151645,
|
||||
"pad_token_id": 151643,
|
||||
"transformers_version": "4.57.6"
|
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}
|
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},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"processor_class": "Qwen2_5_VLProcessor",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null,
|
||||
"use_fast": true
|
||||
}
|
||||
19
trace_training_provenance.json
Normal file
19
trace_training_provenance.json
Normal file
@@ -0,0 +1,19 @@
|
||||
{
|
||||
"base_model": "Qwen/Qwen2.5-VL-7B-Instruct",
|
||||
"base_revision": "cc594898137f460bfe9f0759e9844b3ce807cfb5",
|
||||
"checkpoint_retention": 1,
|
||||
"checkpoint_step": 500,
|
||||
"dataset": "maveryn/trace",
|
||||
"dataset_revision": "e317b746b258630682367cc6a9d87dedd195113c",
|
||||
"historical_reference_run": "llm-reasoning-rl/trace_easyr1/jiswyznz",
|
||||
"merged_safetensor_sha256": {
|
||||
"model-00001-of-00004.safetensors": "7ab31563d6aa33f4e72efc425799b36beafe4eb555b81400ca41fbac75763ec5",
|
||||
"model-00002-of-00004.safetensors": "8926ae3db148002169d7cd4c68d5d087e50a162055a965ca11c6a20eb38f663d",
|
||||
"model-00003-of-00004.safetensors": "eedbd2bb965b4f2c6c28a629cd35736d16b1afc39eaea340a7c1991f5cff16c5",
|
||||
"model-00004-of-00004.safetensors": "d13f7ea286a68ee278613c6834a4720a34a9a9ec04ffd5cc6126a7bb5aa0c4a2"
|
||||
},
|
||||
"published_at": "2026-07-16T06:44:49.464231+00:00",
|
||||
"run_name": "trace_qwen25vl7b_easyr1_all1000_answer_nokl_step500_bsz128_rollout8_iidval2000_rerun_20260715T161252Z",
|
||||
"source_commit": "d29b23f6085764ea831adb5edc5a23f89b0d98f3",
|
||||
"wandb_url": "https://wandb.ai/llm-reasoning-rl/trace_easyr1/runs/usqbkpd6"
|
||||
}
|
||||
43
video_preprocessor_config.json
Normal file
43
video_preprocessor_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"crop_size": null,
|
||||
"data_format": "channels_first",
|
||||
"default_to_square": true,
|
||||
"device": null,
|
||||
"do_center_crop": null,
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"do_sample_frames": false,
|
||||
"fps": null,
|
||||
"image_mean": [
|
||||
0.48145466,
|
||||
0.4578275,
|
||||
0.40821073
|
||||
],
|
||||
"image_std": [
|
||||
0.26862954,
|
||||
0.26130258,
|
||||
0.27577711
|
||||
],
|
||||
"input_data_format": null,
|
||||
"max_frames": 768,
|
||||
"max_pixels": 12845056,
|
||||
"merge_size": 2,
|
||||
"min_frames": 4,
|
||||
"min_pixels": 3136,
|
||||
"num_frames": null,
|
||||
"pad_size": null,
|
||||
"patch_size": 14,
|
||||
"processor_class": "Qwen2_5_VLProcessor",
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"return_metadata": false,
|
||||
"size": {
|
||||
"longest_edge": 12845056,
|
||||
"shortest_edge": 3136
|
||||
},
|
||||
"temporal_patch_size": 2,
|
||||
"video_metadata": null,
|
||||
"video_processor_type": "Qwen2VLVideoProcessor"
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user