Ar Autotrain compatible Bn De En Endpoints compatible Es Fr Id Ja Ko Qwen2 Region:us Ru Safetensors Sw Te Text-ranking Th Zh
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 | 2025-04-30 |
| 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 | 63359 | 619 |
| Reader Lm 1.5B | 250K / 3.1 GB | 584 | 596 |
| DeepSeek R1 Distill Qwen 1.5B | 128K / 3.5 GB | 1819535 | 1176 |
| DeepScaleR 1.5B Preview | 128K / 7.1 GB | 70796 | 549 |
| DeepCoder 1.5B Preview | 128K / 7.1 GB | 2841 | 63 |
| Qwen2.5 1.5B | 128K / 3.1 GB | 754667 | 99 |
| ZR1 1.5B | 128K / 7.1 GB | 1457 | 63 |
| OpenMath Nemotron 1.5B | 128K / 3.1 GB | 661 | 16 |
| Qwen2 1.5B | 128K / 3.1 GB | 206011 | 91 |
| AlphaMaze V0.2 1.5B | 128K / 3.5 GB | 2609 | 92 |
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
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227