Model Card on HF 🤗: https://huggingface.co/bespin-global/bge-reranker-v2-gemma-fine-tuning
Bge Reranker V2 Gemma Fine Tuning 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)
Bge Reranker V2 Gemma Fine Tuning Parameters and Internals
| LLM Name | Bge Reranker V2 Gemma Fine Tuning |
| Repository 🤗 | https://huggingface.co/bespin-global/bge-reranker-v2-gemma-fine-tuning |
| Model Size | 2.5b |
| Required VRAM | 10 GB |
| Updated | 2025-02-22 |
| Maintainer | bespin-global |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float32 |
Best Alternatives to Bge Reranker V2 Gemma Fine Tuning
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| RLM Hinglish Translator | 8K / 10 GB | 303 | 9 |
| Gemma Ko V01 | 8K / 5.1 GB | 64 | 0 |
| Geko3 | 8K / 5.1 GB | 7 | 0 |
| M3 Sft Orca It Base | 8K / 10 GB | 10 | 0 |
| M3 Sft Orca It Base | 8K / 10 GB | 6 | 0 |
| Orca Gemma It DPO | 8K / 10 GB | 10 | 0 |
| M3 Sft DPO | 8K / 10 GB | 14 | 0 |
| Gemma EPFL | 8K / 10 GB | 8 | 0 |
| M3 Sft Gemma It | 8K / 10 GB | 8 | 0 |
| M3 Sft Gemma | 8K / 10 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than bespin-global/bge-reranker-v2-gemma-fine-tuning .
Rank the Bge Reranker V2 Gemma Fine Tuning Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227