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Mamba 2.8B Slimpj Hf by han1997

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  Autotrain compatible   Endpoints compatible   Mamba   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/han1997/mamba-2.8b-slimpj-hf 

Mamba 2.8B Slimpj Hf Benchmarks

LLME Score: 0.16246
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mamba 2.8B Slimpj Hf Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Primary Use Cases:
Text Generation
Additional Notes 
The model requires specific configurations such as keeping it in float32 for finetuning using the `peft` library.
Input Output 
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Using `causal_conv_1d` and `mamba-ssm` optimizes performance with CUDA kernels.
LLM NameMamba 2.8B Slimpj Hf
Repository 🤗https://huggingface.co/han1997/mamba-2.8b-slimpj-hf 
Model Size2.8b
Required VRAM11.1 GB
Updated2025-06-10
Maintainerhan1997
Model Typemamba
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.1 GB: 3-of-3
Model ArchitectureMambaForCausalLM
Licenseapache-2.0
Transformers Version4.40.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50280
Torch Data Typefloat32
Mamba 2.8B Slimpj Hf (han1997/mamba-2.8b-slimpj-hf)

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Note: green Score (e.g. "73.2") means that the model is better than han1997/mamba-2.8b-slimpj-hf.

Rank the Mamba 2.8B Slimpj 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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Release v20241124
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