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Mamba GPT 7B V1 by CobraMamba

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  Autotrain compatible   En   Gpt   Mistral   Pytorch   Region:us   Safetensors   Sharded
Model Card on HF 🤗: https://huggingface.co/CobraMamba/mamba-gpt-7b-v1 

Mamba GPT 7B V1 Benchmarks

ARC: 61.26 vs 96.7 (so35)-36.6%
HellaSwag: 84.1 vs 95.3 (gpt4)-11.8%
MMLU: 63.46 vs 88.3 (so35)-28.1%
TruthfulQA: 46.34 vs 59 (gpt4)-21.5%
WinoGrande: 79.16 vs 87.5 (gpt4)-9.5%
GSM8K: 17.36 vs 96.4 (so35)-82%
LLME Score: 0.14826
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mamba GPT 7B V1 (CobraMamba/mamba-gpt-7b-v1)

Mamba GPT 7B V1 Parameters and Internals

Model Type 
large language model
Training Details 
Data Sources:
Stanford Alpaca (en), Open Assistant (multilingual), LIMA (en), CodeAlpaca 20k (en), GPT-4 Generated Data (en&zh;), UltraChat (en)
LLM NameMamba GPT 7B V1
Repository 🤗https://huggingface.co/CobraMamba/mamba-gpt-7b-v1 
Model Size7b
Required VRAM14.4 GB
Updated2025-05-12
MaintainerCobraMamba
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CobraMamba/mamba-gpt-7b-v1.

Rank the Mamba GPT 7B V1 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 v20241227
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