Feature Extraction
Transformers
Safetensors
decision2
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("feature-extraction", 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
Download decision_config.json from vllm-sr/Decision-2.0-Sol-2B: direct link, hf CLI and curl.
- Browser
- Download file 2.31 kB
-
https://huggingface.co/vllm-sr/Decision-2.0-Sol-2B/resolve/b42b6ff3efeedcd6534a3169a5db60247b363fb8/decision_config.json
- Command line
-
hf download hf://vllm-sr/Decision-2.0-Sol-2B@b42b6ff3efeedcd6534a3169a5db60247b363fb8/decision_config.json
-
curl -L -o decision_config.json https://huggingface.co/vllm-sr/Decision-2.0-Sol-2B/resolve/b42b6ff3efeedcd6534a3169a5db60247b363fb8/decision_config.json
2.31 kB
| { | |
| "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" | |
| } | |