Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
quantized
compressed-tensors
fp8
custom_code
Eval Results
Instructions to use vllm-sr/d3-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/d3-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-FP8", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("vllm-sr/d3-FP8", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/d3-FP8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Revert the merge of discussion #1
Verified signatureRestores README.md, d3q/load.py and MODEL_MANIFEST.json as of b5aebab7f4; the discussion was merged by mistake.8acfecc -
Card: first-start note, same-machine vision baseline, Typed Decisions note; drop unmeasured throughput line (#1)
- Card: first-start note, same-machine vision baseline, Typed Decisions note; drop unmeasured throughput line (98b3e44d8ab4ab05f37430cc1672769b16b44f6d) - Package: drop internal names and stale files; MODEL_MANIFEST.json entries for the changed files (466bad92b791ae516e51481dabc6116849e2e027) Co-authored-by: Hsiung Li Syun <TheoHsiung@users.noreply.huggingface.co>9497574
4 days ago
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Add Typed Decisions eval results
Verified signatureLocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), scored with the benchmark run's score_model.py against this package served by the vLLM Semantic Router model runtime on one AMD Instinct MI300X. d3 on the same setup scores accuracy 0.7485, KL 0.4096, Brier 0.1457, ECE 0.0510, against 0.749 / 0.4093 / 0.1456 / 0.0486 in the official vLLM run.b5aebab -
Card: link the merged record on vllm-project/semantic-router main
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6 days ago
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Label the d3 column of the test split table as BF16
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Add the Perception Test validation results
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7 days ago
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Measure serving latency and memory on MI300X and RTX PRO 6000 as the GPTQ card does
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Index FP8 activation rows in 64 bits and add Decision Index results
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8 days ago
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Runtime: loading checks only the files the runtime reads
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Card: serve with vllm-sr serve -e
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Card: the revision to serve
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Upload d3-FP8
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initial commit
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