gabor-hosu/e5-mistral-7b-instruct-bnb-4bit
feature-extraction model by gabor-hosu
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This model is a quantized version of the original model intfloat/e5-mistral-7b-instruct. It's quantized using the BitsAndBytes library to 4-bit using the bnb-my-repo space. Improving Text Embeddings with Large Language Models. Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei, arXiv 2024 This model has 32 layers and the embedding size is 4096. Below is an example to encode queries and passages from the MS-MARCO passage ranking dataset. Have a look at configsentencetransformers.json for the prompts that are pre-configured, such as websearchquery, stsquery, and summarizationquery. Additionally, check out unilm/e5/utils.py for prompts we used for evaluation. You can use these via e.g. model.encode(queries, prompt="Instruct: Given a claim, find documents that refute the claim\nQuery: "). This model is initialized from Mistral-7B-v0.1 and fine-tuned on a mixture of multilingual datasets. As a result, it has some multilingual capability. However, since Mistral-7B-v0.1 is mainly trained on English data, we recommend using this…
Read the full model card ↗ · Preview checked 2026-10-30T16:52:59.840Z
Inside the original model card — Document outline
- intfloat/e5-mistral-7b-instruct (Quantized)
- Description
- Quantization Details
- 📄 Original Model Information
- E5-mistral-7b-instruct
- Usage
- Sentence Transformers
- Transformers
- Supported Languages
- MTEB Benchmark Evaluation
- FAQ
- Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
gabor-hosu/e5-mistral-7b-instruct-bnb-4bit is a feature-extraction model repository published by gabor-hosu 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)
- 331,841
- Cumulative likes
- 11
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 7,329,328,014
- Architecture
- MistralModel
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-01-09T18:50:16.000Z
- Last modified
- 2026-01-09T18:50:29.000Z
Compatibility and lineage
Reported languages: en
Reported base models: intfloat/e5-mistral-7b-instruct
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.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:29.511Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.