avsolatorio/GIST-all-MiniLM-L6-v2
sentence-similarity model by avsolatorio
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Model card & documentation
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GIST Embedding v0 - all-MiniLM-L6-v2 GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning The model is fine-tuned on top of the sentence-transformers/all-MiniLM-L6-v2 using the MEDI dataset augmented with mined triplets from the MTEB Classification training dataset (excluding data from the Amazon Polarity Classification task). The model does not require any instruction for generating embeddings. This means that queries for retrieval tasks can be directly encoded without crafting instructions. Technical paper: GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning The dataset used is a compilation of the MEDI and MTEB Classification training datasets. Third-party datasets may be subject to additional terms and conditions under their associated licenses. A HuggingFace Dataset version of the compiled dataset, and the specific revision used to train the model, is available: The dataset contains a tasktype key, which can be used to select only the mteb classification tasks (prefixed with…
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Model overview
avsolatorio/GIST-all-MiniLM-L6-v2 is a sentence-similarity model repository published by avsolatorio 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)
- 114,688
- Cumulative likes
- 10
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 22,713,216
- Architecture
- BertModel
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2024-02-03T05:28:49.000Z
- Last modified
- 2024-04-24T23:15:05.000Z
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 2026-10-22T06:48:04.782Z. 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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