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Mamba Chat 2.8B by ayoubkirouane

 »  All LLMs  »  ayoubkirouane  »  Mamba Chat 2.8B   URL Share it on

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  En   Endpoints compatible   Mamba   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/ayoubkirouane/Mamba-Chat-2.8B 

Mamba Chat 2.8B Benchmarks

LLME Score: 0.15988
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mamba Chat 2.8B (ayoubkirouane/Mamba-Chat-2.8B)

Mamba Chat 2.8B Parameters and Internals

Model Type 
state-space model (SSM)
Use Cases 
Areas:
NLP tasks, Audio analysis, Genomics
Applications:
Text summarization, Question answering, Dialogue systems
Considerations:
Still in the early stages of development, requiring further experimentation for reliability.
Additional Notes 
Mamba-Chat departs from transformer architecture, adopting a state-space model framework, promising efficiency, speed, and valuable use across diverse fields.
Supported Languages 
en (full proficiency)
Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k
Methodology:
Selective State Spaces methodology for sequence modeling
Hardware Used:
16,000 samples from the HuggingFaceH4/ultrachat_200k dataset
Model Architecture:
State-space model with selective state spaces
Input Output 
Input Format:
input_ids generated from the chat template
Accepted Modalities:
text
Output Format:
decoded text message
Performance Tips:
Model's performance and reliability may benefit from further experimentation.
LLM NameMamba Chat 2.8B
Repository 🤗https://huggingface.co/ayoubkirouane/Mamba-Chat-2.8B 
Model Size2.8b
Required VRAM5.5 GB
Updated2025-02-22
Maintainerayoubkirouane
Model Files  5.5 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50277

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Note: green Score (e.g. "73.2") means that the model is better than ayoubkirouane/Mamba-Chat-2.8B.

Rank the Mamba Chat 2.8B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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