Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
custom_code
Instructions to use vllm-sr/d3-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/d3-edge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-edge", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("vllm-sr/d3-edge", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/d3-edge", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
d3-edge v3.1.0
Browse files- MODEL_MANIFEST.json +18 -18
- README.md +23 -23
- assets/index-areas.png +2 -2
- assets/index-pareto.png +2 -2
- config.json +1 -4
- model-00001-of-00001.safetensors +2 -2
- model.safetensors.index.json +13 -55
- readout.safetensors +1 -1
MODEL_MANIFEST.json
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"attention_mode": "noncausal_full_attention",
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"model-00001-of-00001.safetensors": "
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"tokenizer.json": "5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42",
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"parameters": {
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"vision": 100592896,
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"readout": 261120,
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"loaded":
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"base_model": {
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"repo_id": "Qwen/Qwen3.5-0.8B",
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"built_utc": "2026-10-
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"files_sha256": {
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"assets/index-areas.png": "
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"assets/index-pareto.png": "
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"d3_format.py": "187a0f359f6f89a844e723377769556f78133b118851e702e4b0fe5123ccb0f1",
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"d3_server.py": "f9b8f2481461a074f469b4f58da3b0d7004824096528366d5b1f23187dd6e692",
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"model-00001-of-00001.safetensors": "
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"preprocessor_config.json": "27225450ac9c6529872ee1924fcb0962ff5634834f817040f444118116f4e516",
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"readout.safetensors": "
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"requirements.txt": "57a1938448bc240bdf4fee5d1b9cbc8450109fa1f6cee11e94dc04f274be8a32",
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"tokenizer.json": "5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42",
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"tokenizer_config.json": "49e2b6e395f959f077f1e992b338919c0d4a9732fc6e613995e06557f843500c",
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"modeling_d3.py": 12079,
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"pipeline_d3.py": 2936,
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"preprocessor_config.json": 390,
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"attention_mode": "noncausal_full_attention",
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"max_input_tokens": null,
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"identity": {
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"model_sha256": "6e00d04abbdbdf6d35c9e12065769d9edaacc3bfe9404583891797718d239dc8",
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"files_sha256": {
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"readout.safetensors": "de33d5dc795bbd77168e40bfadc340cca9b9f163b88744c10e1a788f4e166d3d",
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"tokenizer.json": "5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42",
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"tokenizer_config.json": "49e2b6e395f959f077f1e992b338919c0d4a9732fc6e613995e06557f843500c"
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},
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"parameters": {
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"text": 493728704,
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"vision": 100592896,
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"readout": 261120,
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"loaded": 594582720
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},
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"base_model": {
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"repo_id": "Qwen/Qwen3.5-0.8B",
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}
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]
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},
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"built_utc": "2026-10-11T05:44:01+00:00",
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"files_sha256": {
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"LICENSE": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4",
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README.md
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| --- | --- |
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| **Parameters** | 0.
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| **Inputs** | Text or JSON, plus images and videos (several per request) |
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| **Decision types** | Choice · Yes / No · Score |
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| **License** | Apache-2.0 |
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## Highlights
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-
- **Jev Decision Index 0.3, public suite:
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-
- **+
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- **Reads images:** multiple images per request (PNG, JPEG or WebP), given as paths, URLs, PIL images or base64 data URLs; every question of the request sees all of them.
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- **Reads videos:** multiple videos per request (MP4, WebM, MOV or MKV), given as paths, URLs, base64 data URLs or frame arrays, read at 2 frames per second; **Perception Test (multiple-choice video QA):
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- **Speed:** a median of
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- **Many questions, one call:** Choice, Yes / No and Score questions about the same input are answered together, each from its own forward pass over the input, with a probability for every option.
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## Quickstart
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| Model | Jev Decision Index ↑ | Public ↑ | Same-skill tests ↑ | New-domain tasks ↑ |
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| --- | ---: | ---: | ---: | ---: |
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-
| **d3-edge** | **
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| Bekko System One v0 400M | 15.2 | 22.5 | 21.6 | 7.2 |
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| Dinah-0 | 13.9 | 26.1 | 18.8 | 5.5 |
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| Decision 2.0 (0.6B) | 13.6 | 16.7 | 16.9 | 11.8 |
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| Model | Vision Index ↑ | Public ↑ | Private ↑ |
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| --- | ---: | ---: | ---: |
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| **d3-edge** | **
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d3-edge on the public vision benchmarks († approximate rebuild):
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| Benchmark | d3-edge |
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| --- | ---: |
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| CV-Bench |
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| BLINK |
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| RealWorldQA |
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| CharXiv † |
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| InfographicVQA † |
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| Mind2Web † |
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| Winoground |
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| KIE (CORD+FUNSD) † |
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| Moderation (Hateful Memes) |
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| R-Bench-M |
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| MMMU-Pro vision |
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### Videos: Perception Test
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| Perception Test (validation) | d3-edge |
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| --- | ---: |
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| **All 19,140 questions** | **
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| Memory | 40.
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-
| Abstraction |
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-
| Physics |
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| Semantics |
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Multiple-choice video question answering (three options per question, chance 33.3): top-1 accuracy (%), videos read with the defaults above.
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| | |
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| --- | --- |
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+
| **Parameters** | 0.59B, including the 0.10B vision encoder |
|
| 26 |
| **Inputs** | Text or JSON, plus images and videos (several per request) |
|
| 27 |
| **Decision types** | Choice · Yes / No · Score |
|
| 28 |
| **License** | Apache-2.0 |
|
| 29 |
|
| 30 |
## Highlights
|
| 31 |
|
| 32 |
+
- **Jev Decision Index 0.3, public suite: 28.82**, measured with the official 0.3 kit on the released weights: all 140,178 public requests answered, none unsupported.
|
| 33 |
+
- **+12.1 on the public suite over Decision 2.0** (its 0.6B model: 16.68 on the board), ahead in all five areas.
|
| 34 |
- **Reads images:** multiple images per request (PNG, JPEG or WebP), given as paths, URLs, PIL images or base64 data URLs; every question of the request sees all of them.
|
| 35 |
+
- **Reads videos:** multiple videos per request (MP4, WebM, MOV or MKV), given as paths, URLs, base64 data URLs or frame arrays, read at 2 frames per second; **Perception Test (multiple-choice video QA): 46.6** (internal evaluation).
|
| 36 |
+
- **Speed:** a median of 6.7 ms for a text request, 41.9 ms for a request with an image and 308.3 ms for a request with a 10-second video, on one AMD Instinct MI325X GPU, one request at a time.
|
| 37 |
- **Many questions, one call:** Choice, Yes / No and Score questions about the same input are answered together, each from its own forward pass over the input, with a probability for every option.
|
| 38 |
|
| 39 |
## Quickstart
|
|
|
|
| 148 |
|
| 149 |
| Model | Jev Decision Index ↑ | Public ↑ | Same-skill tests ↑ | New-domain tasks ↑ |
|
| 150 |
| --- | ---: | ---: | ---: | ---: |
|
| 151 |
+
| **d3-edge** | **18.0** | **28.8** | **23.9** | **8.0** |
|
| 152 |
| Bekko System One v0 400M | 15.2 | 22.5 | 21.6 | 7.2 |
|
| 153 |
| Dinah-0 | 13.9 | 26.1 | 18.8 | 5.5 |
|
| 154 |
| Decision 2.0 (0.6B) | 13.6 | 16.7 | 16.9 | 11.8 |
|
|
|
|
| 163 |
|
| 164 |
| Model | Vision Index ↑ | Public ↑ | Private ↑ |
|
| 165 |
| --- | ---: | ---: | ---: |
|
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+
| **d3-edge** | **35.6** | **37.5** | **33.6** |
|
| 167 |
|
| 168 |
d3-edge on the public vision benchmarks († approximate rebuild):
|
| 169 |
|
| 170 |
| Benchmark | d3-edge |
|
| 171 |
| --- | ---: |
|
| 172 |
+
| CV-Bench | 54.2 |
|
| 173 |
+
| BLINK | 35.1 |
|
| 174 |
+
| RealWorldQA | 24.8 |
|
| 175 |
+
| CharXiv † | 40.9 |
|
| 176 |
+
| InfographicVQA † | 60.7 |
|
| 177 |
+
| Mind2Web † | 41.2 |
|
| 178 |
+
| Winoground | 29.0 |
|
| 179 |
+
| KIE (CORD+FUNSD) † | 86.4 |
|
| 180 |
+
| Moderation (Hateful Memes) | 6.8 |
|
| 181 |
+
| R-Bench-M | 10.3 |
|
| 182 |
+
| MMMU-Pro vision | 4.9 |
|
| 183 |
|
| 184 |
### Videos: Perception Test
|
| 185 |
|
| 186 |
| Perception Test (validation) | d3-edge |
|
| 187 |
| --- | ---: |
|
| 188 |
+
| **All 19,140 questions** | **46.6** |
|
| 189 |
+
| Memory | 40.6 |
|
| 190 |
+
| Abstraction | 36.2 |
|
| 191 |
+
| Physics | 38.3 |
|
| 192 |
+
| Semantics | 67.3 |
|
| 193 |
|
| 194 |
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