Dedicated model · Available as managed deployment
The sentence-transformers workhorse: a 23M-parameter embedding model producing 384-dimensional vectors, the most downloaded embedding model in the world, under Apache-2.0. Available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only, as an OpenAI-compatible endpoint on hardware only you use, hosted in the EU.
Why all-MiniLM-L6-v2
| The most used embedding model | Hundreds of millions of downloads: the default in tutorials, vector databases and RAG starters everywhere. |
|---|---|
| Tiny and fast | 23M parameters and 384 dimensions: thousands of embeddings per second on a single machine, cheap to store and search. |
| Apache-2.0 | Permissive: commercial use, no licence conversation. |
Specifications
| Model | all-MiniLM-L6-v2 by sentence-transformers |
|---|---|
| Modalities | Text → vector (embeddings) |
| Sizes | 23M |
| Context window | 512 tokens |
| Released | 2022-03 |
| Popularity | 255.1M downloads / month on HuggingFace |
| Licence | Open weights (Apache 2.0); commercial use permitted |
| Availability | Available as managed deployment, operated by AxForge on hardware reserved for you |
| Hardware | NVIDIA DGX Spark (GB10, 128 GB unified memory), owned and operated by AxForge |
| Region | Málaga, Spain (eu-es-1) |
| Pricing | Hardware from €0.85/hour, rental term: Hour, week, month or year. Managed service quoted per deployment. Request deployment and we confirm both in writing. |
We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the model card in the catalogue and the official card on HuggingFace.
Deployment
| System | A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory), reserved for you |
|---|---|
| Commercial model | Hour, week, month or year. Hardware from €0.85/hour, managed service quoted per deployment |
| Endpoint | OpenAI-compatible /v1 on your own machine, only your traffic |
| Location | Hosted in the EU: Málaga, Spain (eu-es-1) |
| Data handling | Zero prompt retention, same policy as the serverless API |
The model is validated on AxForge hardware and deployed on your system. After deployment, your endpoint speaks the OpenAI API with the model name you receive with the deployment.
Data & privacy
Prompts and completions are processed in memory in the EU, not written to disk, not logged, not retained, and never used to train anything. We keep only request metadata (token counts, timestamps, status) for billing and operations. The full policy is at axforge.ai/privacy.
FAQ
Not on the serverless API. It is available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only. The serverless API serves Qwen3.8 27B.
English text, short passages and high volume where speed and cost matter more than the last few points of retrieval quality; for multilingual or long inputs look at BGE-M3 or Qwen3 Embedding.
Yes, a dedicated DGX Spark runs a small embedding model next to an LLM behind one OpenAI-compatible endpoint.
We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the official model card.
A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory) rented by the hour, week, month or year, running all-MiniLM-L6-v2 behind an OpenAI-compatible endpoint on your own machine, hosted in the EU with zero prompt retention.
Hardware from €0.85/hour, by the hour, week, month or year; the managed service is quoted per deployment. Request deployment and we confirm both in writing.
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