Af Am Ar As Autotrain compatible Az Be Bg Bn Br Bs Ca Cs Cy Da De El En Endpoints compatible Eo Es Et Eu Fa Ff Fi Fr Fy Ga Gd Gl Gn Gu Ha He Hi Hr Ht Hu Hy Id Ig Is It Ja Jv Ka Kk Km Kn Ko Ku Ky La Lg Li Ln Lo Lt Lv Mg Mk Ml Mn Mr Ms My Ne Nl No Ns Om Or Pa Pl Ps Pt Qu Qwen2 Region:us Rm Ro Ru Sa Safetensors Sc Sd Si Sk Sl So Sq Sr Ss Su Sv Sw Ta Te Text-ranking Th Tl Tn Tr Ug Uk Ur Uz Vi Wo Xh Yi Yo Zh Zu
Model Card on HF 🤗: https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2
Mxbai Rerank Large V2 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Mxbai Rerank Large V2 Parameters and Internals
| LLM Name | Mxbai Rerank Large V2 |
| Repository 🤗 | https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2 |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-06-01 |
| Maintainer | mixedbread-ai |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en zh de ja ko es fr ar bn ru id sw te th |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Mxbai Rerank Large V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReaderLM V2 | 500K / 3.1 GB | 44161 | 641 |
| Reader Lm 1.5B | 250K / 3.1 GB | 1001 | 597 |
| DeepSeek R1 Distill Qwen 1.5B | 128K / 3.5 GB | 1304097 | 1204 |
| DeepScaleR 1.5B Preview | 128K / 7.1 GB | 92075 | 556 |
| Qwen2.5 1.5B | 128K / 3.1 GB | 567731 | 103 |
| AceInstruct 1.5B | 128K / 3.5 GB | 5826 | 20 |
| OpenMath Nemotron 1.5B | 128K / 3.1 GB | 5886 | 20 |
| DeepCoder 1.5B Preview | 128K / 7.1 GB | 1791 | 64 |
| Qwen2 1.5B | 128K / 3.1 GB | 104564 | 92 |
| ZR1 1.5B | 128K / 7.1 GB | 878 | 65 |
Note: green Score (e.g. "73.2") means that the model is better than mixedbread-ai/mxbai-rerank-large-v2 .
Rank the Mxbai Rerank Large V2 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 47770 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227