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KangalKhan RawRuby 7B by Yuma42

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  Merged Model   Autotrain compatible Base model:yuma42/kangalkhan-r... Base model:yuma42/kangalkhan-r...   Conversational   En   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow Yuma42/kangalkhan-rawemerald-7... Yuma42/kangalkhan-ruby-7b-fixe...
Model Card on HF 🤗: https://huggingface.co/Yuma42/KangalKhan-RawRuby-7B 

KangalKhan RawRuby 7B Benchmarks

MMLU Pro: 22.48
GPQA: 5.03
MUSR: 7.64
BBH: 26.39
IFEval: 54.77 vs 88 (so35)-37.8%
ARC: 66.89 vs 96.7 (so35)-30.8%
HellaSwag: 85.53 vs 95.3 (gpt4)-10.3%
MMLU: 63.46 vs 88.3 (so35)-28.1%
TruthfulQA: 57.09 vs 59 (gpt4)-3.2%
WinoGrande: 78.69 vs 87.5 (gpt4)-10.1%
GSM8K: 62.02 vs 96.4 (so35)-35.7%
MATH Lvl 5: 6.65
LLME Score: 0.23846
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KangalKhan RawRuby 7B (Yuma42/KangalKhan-RawRuby-7B)

KangalKhan RawRuby 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a merge of Yuma42/KangalKhan-Ruby-7B-Fixed and Yuma42/KangalKhan-RawEmerald-7B using LazyMergekit.
Input Output 
Input Format:
ChatML
LLM NameKangalKhan RawRuby 7B
Repository 🤗https://huggingface.co/Yuma42/KangalKhan-RawRuby-7B 
Base Model(s)  KangalKhan Ruby 7B Fixed   KangalKhan RawEmerald 7B   Yuma42/KangalKhan-Ruby-7B-Fixed   Yuma42/KangalKhan-RawEmerald-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerYuma42
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Yuma42/KangalKhan-RawRuby-7B.

Rank the KangalKhan RawRuby 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 v20241227
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