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Flammen26 Mistral 7B by flammenai

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Flammen26 Mistral 7B is an open-source language model by flammenai. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, HF Score: 72.5, LLM Explorer Score: 0.14, Arc: 67.9, HellaSwag: 87, MMLU: 65, TruthfulQA: 71.4, WinoGrande: 80.5, GSM8K: 63.2.

  Merged Model   Arxiv:2403.19522 Base model:flammenai/flammen18... Base model:flammenai/flammen23... Base model:flammenai/flammen25... Base model:flammenai/mahou-1.2...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/flammenai/flammen26-mistral-7B 

Flammen26 Mistral 7B Benchmarks

ARC: 67.92 vs 96.7 (so35)-29.8%
HellaSwag: 86.96 vs 95.3 (gpt4)-8.8%
MMLU: 65.01 vs 88.3 (so35)-26.4%
TruthfulQA: 71.37 vs 59 (gpt4)21%
WinoGrande: 80.51 vs 87.5 (gpt4)-8%
GSM8K: 63.15 vs 96.4 (so35)-34.5%
LLME Score: 0.14217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Flammen26 Mistral 7B (flammenai/flammen26-mistral-7B)
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Flammen26 Mistral 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a merge of pre-trained language models created using MergeKit, with a detailed configuration for merging.
LLM NameFlammen26 Mistral 7B
Repository 🤗https://huggingface.co/flammenai/flammen26-mistral-7B 
Base Model(s)  flammenai/Mahou-1.2-mistral-7B   Flammen23 Mistral 7B   Flammen25 Mistral 7B   Flammen18X Mistral 7B   flammenai/Mahou-1.2-mistral-7B   flammenai/flammen23-mistral-7B   flammenai/flammen25-mistral-7B   flammenai/flammen18X-mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-12-11
Maintainerflammenai
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.6 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than flammenai/flammen26-mistral-7B.

Rank the Flammen26 Mistral 7B 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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