Zero-Shot Classification
Transformers
Safetensors
decision2
feature-extraction
decision-model
classification
system-one
custom_code
Instructions to use vllm-sr/Decision-2.0-Sol-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/Decision-2.0-Sol-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/Decision-2.0-Sol-2B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vllm-sr/Decision-2.0-Sol-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,305 Bytes
b2c5d7e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | {
"architecture": "qwen3.5-text-endpoints-global-query-shared-bilinear-mlp",
"prompt_version": "decision2-segmented-options-global-query-v1",
"base_revision": "15852e8c16360a2fea060d615a32b45270f8a8fc",
"source_prompt_version": "structured-segmented-candidate-endpoints-global-query-v2",
"head_dim": 256,
"max_options": 255,
"text_parameter_count": 1881825088,
"parameter_dtype": "float32",
"autocast_dtype": "bfloat16",
"head_compute_dtype": "float32",
"attention": "sdpa",
"checkpoint_format": "full",
"full_training_source": {
"kind": "decision1",
"revision": null,
"source_fingerprint": {
"source_name": "ce0c018a28de16d6639b1cd203b761bf643b89e6",
"files_sha256": {
"backbone/config.json": "e7bed6f1a1a4d5f029a28040e8687a122b323798d4674666443f6d78e9475a05",
"backbone/model.safetensors": "99f97c2564acc1d43b89a1c547b63ce1d87f062637d0a8ed41eb40d752849e36",
"config.json": "9821e18a406ca01f48789be7e82c1b0477d8a22db3070c1d4fc4ef17b39d2a09",
"decision_config.json": "535a7aa88ca6693f2e6fc2c5721166173931e408eaad3c18dd1c84228cdeeb13",
"decision_head.safetensors": "5c3dce45115fba20192c99a32fa89a379c2a6617f02e3647dc8f05e48dcaf215",
"temperature.json": "f0cbe7323441ceaf6abc8dd3f9b1832f5d4121a803f18e9643406aadd53c6efc",
"tokenizer.json": "06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523",
"tokenizer_config.json": "bee8eba30f0eb4af73c0fe2cd06d0f89b657d7819941c438157ec42f7c80ea87"
}
}
},
"training_mode": "full",
"loss_version": "decision2-valid-k-ce-plus-optional-brier-and-replay-kl-v1",
"soup": {
"method": "uniform weight average (FP32)",
"members": [
{
"path": "/runs/m3/arms/full/m3-S2T-s1/checkpoint-0000366",
"model_sha256": "915774519bd1bfb01498df8262b0efefa03795ede260a3f84411a5933c9e7351"
},
{
"path": "/runs/m3/arms/full/m3-S2T-s2/checkpoint-0000741",
"model_sha256": "4f017a3e602f3088b24a3a2559315a5e728e915a469ac52b51b81260d7b6cd46"
},
{
"path": "/runs/m3/arms/full/m3-S2T-s3/checkpoint-0000638",
"model_sha256": "61eb7f6959b740542375c903b18fb5ecab147b579ef7742cc84f08397173d2a7"
}
]
},
"initialization": "uniform-soup-of-full-checkpoints"
}
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