boboliu/Qwen3-Embedding-4B-W4A16-G128
feature-extraction model by boboliu
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Model card & documentation
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GPTQ Quantized Qwen/Qwen3-Embedding-4B with THUIR/T2Ranking and m-a-p/COIG-CQIA for calibration set. VRAM Usage: 17430M -> 11000M (w/o FA2). 0.72% lost in C-MTEB. Evaluation performed with…
Read the full model card ↗ · Preview checked 2026-10-31T03:26:08.076Z
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Model overview
boboliu/Qwen3-Embedding-4B-W4A16-G128 is a feature-extraction model repository published by boboliu 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)
- 104,206
- Cumulative likes
- 5
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 4,050,160,120
- Architecture
- Qwen3ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-06-06T17:34:23.000Z
- Last modified
- 2025-06-07T06:21:23.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3-Embedding-4B
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 2026-10-12T06:43:18.305Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.