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Update Zen3 Embedding model card

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  ---
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  library_name: transformers
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- tags: [zen, embedding, rag, search, hanzo]
 
 
 
 
 
 
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  license: apache-2.0
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  ---
 
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  # Zen3 Embedding
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- High-quality text embeddings for RAG, search, and classification.
 
 
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- - **Developer**: [Hanzo AI](https://hanzo.ai) × [Zen LM](https://zenlm.org)
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- - **Dimensions**: 3072
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- - **Context**: 8K tokens
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- - **Endpoint**: `/v1/embeddings`
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- - **API**: [api.hanzo.ai](https://cloud.hanzo.ai)
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- - **Docs**: [zenlm.org/docs/models/zen3-embedding](https://zenlm.org/docs/models/zen3-embedding)
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- ## Usage
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- ```python
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- from hanzo import Hanzo
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- client = Hanzo()
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- response = client.embeddings.create(model="zen3-embedding", input="Your text here")
 
 
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  ```
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- ## Related
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- - [zen-embedding](https://huggingface.co/zenlm/zen-embedding) — Base weights
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- - [zen-embedding-8B-GGUF](https://huggingface.co/zenlm/zen-embedding-8B-GGUF) — Quantized
 
 
 
 
 
 
 
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  ---
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  library_name: transformers
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+ pipeline_tag: feature-extraction
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+ tags:
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+ - embedding
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+ - retrieval
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+ - zen
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+ - zen3
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+ - hanzo
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  license: apache-2.0
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  ---
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+
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  # Zen3 Embedding
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+ **Zen LM by Hanzo AI** — High-dimensional text embeddings via API. Supports retrieval, similarity, and clustering.
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+
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+ ## Specs
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+ | Property | Value |
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+ |----------|-------|
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+ | Parameters | API-served |
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+ | Context | 8K |
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+ | Architecture | Zen MoDE (Mixture of Distilled Experts) |
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+ | Generation | Zen3 |
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+ ## API Access
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+
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+ ```bash
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+ curl https://api.hanzo.ai/v1/chat/completions \
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+ -H "Authorization: Bearer $HANZO_API_KEY" \
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+ -H "Content-Type: application/json" \
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+ -d '{"model": "zen3-embedding", "messages": [{"role": "user", "content": "Hello"}]}'
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  ```
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+ Get your API key at [console.hanzo.ai](https://console.hanzo.ai) — $5 free credit on signup.
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+
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+ ## License
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+
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+ Apache 2.0
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+
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+ ---
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+
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+ *Zen LM is developed by [Hanzo AI](https://hanzo.ai) — Frontier AI infrastructure.*