Model Card on HF 🤗: https://huggingface.co/state-spaces/mamba-790m-hf
Mamba 790M Hf 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 790M Hf Parameters and Internals
| Model Type |
|
| LLM Name | Mamba 790M Hf |
| Repository 🤗 | https://huggingface.co/state-spaces/mamba-790m-hf |
| Model Size | 790m |
| Required VRAM | 3.2 GB |
| Updated | 2025-09-23 |
| Maintainer | state-spaces |
| Model Type | mamba |
| Model Files | |
| Model Architecture | MambaForCausalLM |
| Transformers Version | 4.39.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50280 |
| Torch Data Type | float32 |
Best Alternatives to Mamba 790M Hf
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mamba Char Japanese 790M | 0K / 2.9 GB | 15 | 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 |
Rank the Mamba 790M Hf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124