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Mamba 130M Hf by state-spaces

 »  All LLMs  »  state-spaces  »  Mamba 130M Hf   URL Share it on

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Mamba 130M Hf is an open-source language model by state-spaces. Features: 130m LLM, VRAM: 0.5GB, LLM Explorer Score: 0.21.

  Deploy:azure   Endpoints compatible   Mamba   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/state-spaces/mamba-130m-hf 

Mamba 130M Hf Benchmarks

LLME Score: 0.21236
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mamba 130M Hf (state-spaces/mamba-130m-hf)
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Mamba 130M Hf Parameters and Internals

Model Type 
causal language model, transformer
Additional Notes 
The Mamba model is compatible with the 'transformers' library and uses a specialized configuration and tokenizer. The 'peft' library can be used for finetuning.
Input Output 
Input Format:
Text input encoded as token IDs
Accepted Modalities:
text
Output Format:
Text output
Performance Tips:
Use 'causal_conv_1d' and 'mamba-ssm' for optimized CUDA kernel performance.
LLM NameMamba 130M Hf
Repository 🤗https://huggingface.co/state-spaces/mamba-130m-hf 
Model Size130m
Required VRAM0.5 GB
Updated2026-04-08
Maintainerstate-spaces
Model Typemamba
Model Files  0.5 GB
Model ArchitectureMambaForCausalLM
Transformers Version4.39.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50280
Torch Data Typefloat32

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Rank the Mamba 130M Hf Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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