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Flammen27 Mistral 7B by flammenai

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  Merged Model   Autotrain compatible Base model:flammenai/flammen26... Base model:inferenceillusionis...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Flammen27 Mistral 7B Benchmarks

ARC: 69.8 vs 96.7 (so35)-27.8%
HellaSwag: 87.39 vs 95.3 (gpt4)-8.3%
MMLU: 65.01 vs 88.3 (so35)-26.4%
TruthfulQA: 68.87 vs 59 (gpt4)16.7%
WinoGrande: 81.69 vs 87.5 (gpt4)-6.6%
GSM8K: 67.48 vs 96.4 (so35)-30%
LLME Score: 0.21182
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Flammen27 Mistral 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is a merge of pre-trained language models created using mergekit. It was merged using the SLERP merge method and includes models such as InferenceIllusionist/Excalibur-7b and flammenai/flammen26-mistral-7B.
LLM NameFlammen27 Mistral 7B
Repository 🤗https://huggingface.co/flammenai/flammen27-mistral-7B 
Base Model(s)  Excalibur 7B   Flammen26 Mistral 7B   InferenceIllusionist/Excalibur-7b   flammenai/flammen26-mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
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 Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Flammen27 Mistral 7B (flammenai/flammen27-mistral-7B)

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Note: green Score (e.g. "73.2") means that the model is better than flammenai/flammen27-mistral-7B.

Rank the Flammen27 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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Release v20241110
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