Octen-Embedding-8B
Octen-Embedding-8B is a text embedding model developed by Octen for semantic search and retrieval tasks. This model is fine-tuned from Qwen/Qwen3-Embedding-8B and supports multiple languages, providing high-quality embeddings for various applications.
Params
7.6 B
Context
40,960
Downloads 30d
929 K
Likes
192
Download history
daily snapshots · 10 days929 K453 K
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 15.1 GB | 18.3 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 40K ctx | 15.1 GB | 22.8 GB | ⚠️ Tight — reduce context |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen3Model
- Parameters
- 7.6 B
- Tensor type
- BF16
- Context length
- 40,960
- Vocabulary
- 151,665
- Layers / heads
- 36 / 32
- Licence
- apache-2.0
- First seen on the Hub
- 2025-12-23
- Base model
- Qwen3-Embedding-8B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-11
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any sentence-similarity model