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Mamba GPT 7B V2 by CobraMamba

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Mamba GPT 7B V2 is an open-source language model by CobraMamba. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 58.3, LLM Explorer Score: 0.14, Arc: 62, HellaSwag: 83.8, MMLU: 61.7, TruthfulQA: 46.6, WinoGrande: 78.5, GSM8K: 17.3.

  En   Gpt   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CobraMamba/mamba-gpt-7b-v2 

Mamba GPT 7B V2 Benchmarks

ARC: 61.95 vs 96.7 (so35)-35.9%
HellaSwag: 83.83 vs 95.3 (gpt4)-12%
MMLU: 61.74 vs 88.3 (so35)-30.1%
TruthfulQA: 46.63 vs 59 (gpt4)-21%
WinoGrande: 78.45 vs 87.5 (gpt4)-10.3%
GSM8K: 17.29 vs 96.4 (so35)-82.1%
LLME Score: 0.13688
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 V2 (CobraMamba/mamba-gpt-7b-v2)
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Mamba GPT 7B V2 Parameters and Internals

Model Type 
gpt, llm, large language model
LLM NameMamba GPT 7B V2
Repository 🤗https://huggingface.co/CobraMamba/mamba-gpt-7b-v2 
Model Size7b
Required VRAM14.4 GB
Updated2026-04-19
MaintainerCobraMamba
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   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-v2.

Rank the Mamba GPT 7B V2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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