Model Card on HF 🤗: https://huggingface.co/KantaHayashiAI/mamba-char-japanese-790m
Mamba Char Japanese 790M 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 Char Japanese 790M Parameters and Internals
| LLM Name | Mamba Char Japanese 790M |
| Repository 🤗 | https://huggingface.co/KantaHayashiAI/mamba-char-japanese-790m |
| Model Size | 790m |
| Required VRAM | 2.9 GB |
| Updated | 2025-09-27 |
| Maintainer | misdelivery |
| Model Type | mamba |
| Model Files | |
| Model Architecture | MambaForCausalLM |
| Transformers Version | 4.41.0.dev0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 6000 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Mamba Char Japanese 790M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mamba 790M Hf | 0K / 3.2 GB | 3142 | 4 |
| Mamba Char Japanese 790M | 0K / 2.9 GB | 0 | 4 |
| Mamba 790M | 0K / 3.2 GB | 9 | 2 |
| Mamba 790M Chat | 0K / 0 GB | 19 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than KantaHayashiAI/mamba-char-japanese-790m .
Rank the Mamba Char Japanese 790M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124