Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
custom_code
Eval Results
Instructions to use vllm-sr/d3-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/d3-flash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-flash", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("vllm-sr/d3-flash", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/d3-flash", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Add Typed Decisions benchmark eval results
Verified signatureaccuracy, kl_from_gold, brier, ece on LocalLLaMA/typed-decisions test split (400 cases, 2000 decisions, one request per case). Independent run 2026-10-16; details: https://huggingface.co/buckets/SaylorTwift/typed-decisions-evals235e440
4 days ago
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Card: link the free API at decision.vllm-sr.ai and the official Space
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5 days ago
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Runtime: loading checks only the files the runtime reads
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Card: Engine mode batches by default; engine arguments replace runtime profiles
Verified signatureNames the two measured Engine mode setups for what they were: one request per forward, the former default (exact in the chart), and batching, the default in vLLM Semantic Router from main. The engine arguments --max-num-batched-tokens, --max-num-seqs, --batch-window-ms and --dtype replace the --runtime-profile flag. README.md only; every measured number is unchanged.60962e4
6 days ago
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Card: official Jev Decision Index 0.3.2 results and serving performance
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7 days ago
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Runtime: faster System One server replies
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Runtime: simpler System One server
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Card: shorter vLLM Semantic Router command
Verified signatureThe "Run with vLLM Semantic Router" section now uses `vllm-sr serve -e vllm-sr/d3-flash`: the platform is detected automatically, and one line lists the `--platform` values (auto, cpu, cuda, rocm; default auto). The parity sentence keeps its measurement context (AMD Instinct MI325X). MODEL_MANIFEST.json records the new README.md (SHA-256 and size) in the same commit. Weights, runtime files and the v3.1.0 tag are unchanged.b44536d -
Card: run with vLLM Semantic Router (Engine mode)
Verified signatureAdds the "Run with vLLM Semantic Router" section: install the vllm-sr CLI from the development channel, `vllm-sr serve vllm-sr/d3-flash --engine --platform rocm`, and text, image and video requests to the System One API. MODEL_MANIFEST.json records the new README.md (SHA-256 and size) in the same commit. Weights, runtime files and the v3.1.0 tag are unchanged.06d3361
8 days ago
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d3-flash v3.1.0
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d3-flash v3.0.2
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9 days ago
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d3-flash v3.0.1
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MODEL_MANIFEST.json: hash of the new banner
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Update banner
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Model card: speed on AMD Instinct MI325X
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d3-flash
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