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Mamba GPT 3B V2 by CobraMamba

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Model Card on HF 🤗: https://huggingface.co/CobraMamba/mamba-gpt-3b-v2 

Mamba GPT 3B V2 Benchmarks

LLME Score: 0.11357
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mamba GPT 3B V2 (CobraMamba/mamba-gpt-3b-v2)
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Mamba GPT 3B V2 Parameters and Internals

Model Type 
Large Language Model, Text Generation
Use Cases 
Areas:
Research, Commercial Applications
Additional Notes 
The model uses LLaMA architecture for causal language modeling.
Training Details 
Methodology:
Fine-tuned model surpassing the original on several evaluations.
Model Architecture:
LLaMA (LlamaForCausalLM) with 32 layers of LlamaDecoderLayer each consisting of LlamaAttention (uses Linear, RotaryEmbedding) and LlamaMLP (uses Linear, SiLUActivation).
Input Output 
Input Format:
<|prompt|>Your input~~<|answer|>
Output Format:
Generated text corresponding to the prompt.
Performance Tips:
Ensure appropriate setup for transformer, accelerate, and torch.
LLM NameMamba GPT 3B V2
Repository 🤗https://huggingface.co/CobraMamba/mamba-gpt-3b-v2 
Model Size3b
Required VRAM6.8 GB
Updated2025-09-23
MaintainerCobraMamba
Model Files  6.8 GB   6.8 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length2048
Is Biasednone
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param256

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Note: green Score (e.g. "73.2") means that the model is better than CobraMamba/mamba-gpt-3b-v2.

Rank the Mamba GPT 3B V2 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 v20241124
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