Zen AI Model Family

Hypermodal AI

45+ models across 13 families. Open-weight AI covering text, vision, image, audio, code, embeddings, and reranking — from edge to frontier.

45+
AI Models
13
Model Families
7
Modalities
Apache 2.0
License

Embedding & Retrieval

Text embeddings and reranking — served endpoints and open weights.

zen5-embedding

TBA
Research Preview

Text-embedding endpoint in the Zen5 line for RAG, search, and classification. Served via API.

EmbeddingsRAG
33K contextEmbedding

zen3-embedding

TBA
Research Preview

Text-embedding endpoint in the Zen3 line for RAG, search, and classification. Served via API; open weights available under the zen-embedding-* repos.

EmbeddingsRAG
33K contextEmbedding

zen-rerank

TBA
Research Preview

Reranking endpoint that re-scores candidate passages for retrieval pipelines. Served via API, billed per unit; open weights available under the zen-reranker-* repos.

EmbeddingsReranking
RerankerReranker

zen-embedding-8b

8B

8B text-embedding model for dense retrieval. Open-weight repackage of Qwen/Qwen3-Embedding-8B (Apache-2.0).

Embeddings
41K contextEmbedding

zen-embedding-4b

4B

4B text-embedding model for dense retrieval. Open-weight repackage of Qwen/Qwen3-Embedding-4B (Apache-2.0).

Embeddings
41K contextEmbedding

zen-embedding-0.6b

0.6B

0.6B text-embedding model for high-throughput retrieval. Open-weight repackage of Qwen/Qwen3-Embedding-0.6B (Apache-2.0).

Embeddings
33K contextEmbedding

zen-reranker-8b

8B

8B cross-encoder reranker for search relevance. Open-weight repackage of Qwen/Qwen3-Reranker-8B (Apache-2.0).

EmbeddingsReranking
41K contextReranker

zen-reranker-4b

4B

4B cross-encoder reranker for search relevance. Open-weight repackage of Qwen/Qwen3-Reranker-4B (Apache-2.0).

EmbeddingsReranking
41K contextReranker

zen-reranker-0.6b

0.6B

0.6B cross-encoder reranker for high-throughput reranking. Open-weight repackage of Qwen/Qwen3-Reranker-0.6B (Apache-2.0).

EmbeddingsReranking
41K contextReranker

Capabilities Matrix

Each model specializes in different modalities and tasks

ModelTextImageVideoAudio3DCodeAgents
zen5✓————✓✓
zen4✓————✓✓
zen4-max✓————✓✓
zen4-ultra✓————✓✓
zen4-coder✓————✓✓
zen3-omni✓✓—✓———
zen3-vl✓✓—————
zen3-nano✓————✓—
zen3-guard✓——————
zen3-image✓✓—————
zen3-audio✓——✓———
zen3-tts✓——✓———
zen3-embedding✓——————
zen3-reranker✓——————

Quick Start

Get started with any Zen model in seconds

# Install and run any model
pip install transformers torch

# Use directly
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("zenlm/zen-eco-4b-instruct")
tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-eco-4b-instruct")

# Or use via Hanzo Cloud API
from hanzoai import Hanzo
client = Hanzo(api_key="hk-your-api-key")

response = client.chat.completions.create(
    model="zen-eco-4b-instruct",
    messages=[{"role": "user", "content": "Hello!"}]
)

Build with Zen AI

Open-weight models, Apache 2.0 licensed. Free to use for research and commercial applications.