Alibaba-NLP/gte-Qwen2-1.5B-instruct
sentence-similarity model by Alibaba-NLP
From the publisher
Model card & documentation
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gte-Qwen2-1.5B-instruct is the latest model in the gte (General Text Embedding) model family. The model is built on Qwen2-1.5B LLM model and use the same training data and strategies as the gte-Qwen2-7B-instruct model. The model incorporates several key advancements: Observe the configsentencetransformers.json to see all pre-built prompt names. Otherwise, you can use model.encode(queries, prompt="Instruct: ...\nQuery: " to use a custom prompt of your choice. Usage via infinity, MIT Licensed. You can use the scripts/evalmteb.py to reproduce the following result of gte-Qwen2-1.5B-instruct on MTEB(English)/C-MTEB(Chinese): The gte series models have consistently released two types of models: encoder-only models (based on the BERT…
Read the full model card ↗ · Preview checked 2026-10-30T23:47:10.018Z
Inside the original model card — Document outline
- gte-Qwen2-1.5B-instruct
- Model Information
- Requirements
- Usage
- Sentence Transformers
- Transformers
- infinityemb
- Evaluation
- MTEB & C-MTEB
- GTE Models
- Cloud API Services
- Community support
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Alibaba-NLP/gte-Qwen2-1.5B-instruct is a sentence-similarity model repository published by Alibaba-NLP 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
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 178,285
- Cumulative likes
- 240
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 1,776,197,120
- Architecture
- Qwen2ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2024-06-29T08:02:40.000Z
- Last modified
- 2025-05-28T13:11:05.000Z
Compatibility and lineage
Language coverage was not reported.
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:31.802Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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