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Jasper-Token-Compression-600M-ONNX-FP32
magiccodingman/Jasper-Token-Compression-600M-ONNX-FP32
Jasper-Token-Compression-600M-ONNX-FP32 is a sentence similarity model from magiccodingman. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as apache-2.0.
ONNX export of infgrad/Jasper-Token-Compression-600M.
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Repo size
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At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Aug 11, 2026
- Updated
- Aug 11, 2026
- SHA
- adf0e28a
Base models
Model card
From the Hugging Face model README
Jasper Token Compression 600M — ONNX FP32
ONNX export of infgrad/Jasper-Token-Compression-600M.
Precision: FP32
Quantization: None (FP32)
Model size: 2.26 GiB
Full-precision FP32 ONNX export. This is the reference model used for the included quantization fidelity comparisons.
Benchmarks
| Tokens | Median latency | Tokens/s |
|---|---|---|
| 32 | 139.282 ms | 229.7 |
| 128 | 155.466 ms | 823.3 |
| 512 | 211.763 ms | 2,417.8 |
| 1024 | 288.388 ms | 3,550.8 |
Attribution
Original model: infgrad/Jasper-Token-Compression-600M
- Task
- Sentence Similarity
- Library
- sentence-transformers
- Type
- qwen3
- License
- apache-2.0
- Languages
- en, zh
- Created
- Aug 11, 2026
- Updated
- Aug 11, 2026