michaelfeil/bge-small-en-v1.5
feature-extraction model by michaelfeil
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Model card & documentation
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Infinity Embedding Model This is the stable default model for infinity. More details about the infinity inference project please refer to the Github: Infinity. To deploy files with the infinityemb pip package. Recommended is device="cuda", engine="torch" with flash attention on gpu, and device="cpu", engine="optimum" for onnx inference. The same args If you have any question or suggestion related to this…
Read the full model card ↗ · Preview checked 2026-09-28T06:47:02.211Z
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Model overview
michaelfeil/bge-small-en-v1.5 is a feature-extraction model repository published by michaelfeil on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- sentence-transformers
- Recent downloads (30 days)
- 101,086
- Cumulative likes
- 3
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 33,360,512
- Architecture
- BertModel
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2024-03-12T05:20:48.000Z
- Last modified
- 2024-03-18T16:03:12.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-28T06:39:04.325Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.