Model Card on HF 🤗: https://huggingface.co/JunxiongWang/MambaByte_Books
MambaByte Books 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)
MambaByte Books Parameters and Internals
| Model Type |
| |||||||||
| Training Details |
|
| LLM Name | MambaByte Books |
| Repository 🤗 | https://huggingface.co/JunxiongWang/MambaByte_Books |
| Required VRAM | 1.5 GB |
| Updated | 2025-02-05 |
| Maintainer | JunxiongWang |
| Model Files | |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Vocabulary Size | 256 |
Best Alternatives to MambaByte Books
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| Opengpt2 Pytorch Forward | 1K / 6 GB | 5 | 1 |
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| Simbert Chinese Base | 0.5K / 0.4 GB | 13 | 0 |
| Bert Chinese L 12 H 768 A 12 | 0.5K / 0.4 GB | 6 | 1 |
| Simbert Chinese Tiny | 0.5K / 0 GB | 6 | 0 |
| All MiniLM L12 V2 | 0.5K / GB | 570 | 3 |
Rank the MambaByte Books Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227