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nomic-ai/nomic-embed-text-v2-moe-GGUF

sentence-similarity model by nomic-ai

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Blog | Technical Report | AWS SageMaker | Atlas Embedding and Unstructured Data Analytics Platform This model was presented in the paper Training Sparse Mixture Of Experts Text Embedding Models. Using llama.cpp commit e3a9421b7 for quantization. Original model: nomic-embed-text-v2-moe This model can be used with the llama.cpp server and other software that supports llama.cpp embedding models. Embedding text with nomic-embed-text requires task instruction prefixes at the beginning of each string. For example, the code below shows how to use the searchquery prefix to embed user questions, e.g. in a RAG application. Start a llama.cpp server: And run this code: You should see output similar to this: nomic-embed-text-v2-moe is a SoTA multilingual MoE text embedding model that excels at multilingual retrieval: Transformer-based text embedding models have improved their performance on benchmarks like MIRACL and BEIR by increasing their parameter counts. However, this scaling approach introduces significant deployment challenges, including increased inference…

nomic-ai/nomic-embed-text-v2-moe-GGUF on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Llama.cpp Quantizations of nomic-embed-text-v2-moe: Multilingual Mixture of Experts Text Embeddings
  2. Usage
  3. Download a file (not the whole branch) from below:
  4. Model Overview
  5. Model Architecture
  6. Paper Abstract
  7. Performance
  8. Best Practices
  9. Limitations
  10. Training Details
  11. Join the Nomic Community
  12. Citation

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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

nomic-ai/nomic-embed-text-v2-moe-GGUF is a sentence-similarity model repository published by nomic-ai on Hugging Face. A library was not reported.

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
Not reported
Recent downloads (30 days)
156,192
Cumulative likes
82
Hugging Face trending score
1
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2025-04-30T17:07:57.000Z
Last modified
2025-05-15T00:35:53.000Z

Compatibility and lineage

Reported languages: en, es, fr, de, it, pt, pl, nl, tr, ja, vi, ru, id, ar, cs, ro, sv, el, uk, zh, hu, da, no, hi, fi, bg, ko, sk, th, he, ca, lt, fa, ms, sl, lv, mr, bn, sq, cy

Reported base models: nomic-ai/nomic-embed-text-v2-moe

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.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-14T07:03:45.779Z. Daily imports are snapshots, not real-time monitoring.

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