Model Card on HF 🤗: https://huggingface.co/ArthurZ/mamba-130m
Mamba 130M 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)
Mamba 130M Parameters and Internals
| Model Type |
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| Input Output |
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| LLM Name | Mamba 130M |
| Repository 🤗 | https://huggingface.co/ArthurZ/mamba-130m |
| Model Size | 130m |
| Required VRAM | 0.5 GB |
| Updated | 2025-02-22 |
| Maintainer | ArthurZ |
| Model Type | mamba |
| Model Files | |
| Model Architecture | MambaForCausalLM |
| Transformers Version | 4.38.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50280 |
| Torch Data Type | float32 |
Best Alternatives to Mamba 130M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mamba 130M Hf | 0K / 0.5 GB | 42859 | 53 |
| ...amba 130M Hf Finetuned Epitope | 0K / 0.5 GB | 5 | 0 |
| Mamba 130M | 0K / 0.5 GB | 126 | 12 |
Note: green Score (e.g. "73.2") means that the model is better than ArthurZ/mamba-130m .
Rank the Mamba 130M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227