Text · BAAI
bge-reranker-v2-m3
BAAI's bge reranker v2 m3. It reorders search hits. Pair it with an embedding model. It is not a chat model.
Freshness uses the repository open date. This record is 961 days old, opened 2024-03-15. Popularity uses 14,677,242 downloads and 1,284 likes listed by Hugging Face. Checked 2026-11-01. Neither number grades answers. Formulas.
This model embeds or reranks text for search. It is not a chat model.
Hugging Face reports 8.0 GB of storage for the whole repository. That figure can include several packs, so the fit table does not use it as the size of one file.
Will it fit?
Save a machine on the hardware page and this block fills in. The table already has the sizes.
| Pack | Size | Saved machine |
|---|---|---|
| Largest published checkpoint | 2.3 GB weights + 1.0 GB allowance. File: model.safetensors. | Choose a machine |
| Q4 estimate | 0.3 GB weights + 1.0 GB allowance. | Choose a machine |
| Q8 estimate | 0.6 GB weights + 1.0 GB allowance. | Choose a machine |
| FP16 estimate | 1.1 GB weights + 1.0 GB allowance. | Choose a machine |
Estimate rows use the parameter count. A measured row names a file in the repository. The allowance is fixed: it stands in for context or activations, and it is not a measurement from a run.
How to run it
Text models are usually loaded from a quantized pack in llama.cpp, Ollama, or LM Studio, or from the original weights with the publisher's own instructions. AI Price Desk does not host the weights.
Publisher repository on Hugging Face
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bge-m3 · BAAI
This directory is assembled from public model records. Freshness is age. Popularity is downloads and likes. A fit figure is an estimate from a parameter count or from a published file size, not a run on our hardware. How the numbers are made. AI disclosure.