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KangalKhan Ruby 7B Fixed by Yuma42

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KangalKhan Ruby 7B Fixed is an open-source language model by Yuma42. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 68.7, LLM Explorer Score: 0.13, Arc: 67.2, HellaSwag: 85.2, MMLU: 63.2, TruthfulQA: 56.5, WinoGrande: 78, GSM8K: 61.9.

  Merged Model Argilla/capybarahermes-2.5-mis... Argilla/distilabeled-openherme... Base model:argilla/capybaraher... Base model:argilla/distilabele...   Conversational   En   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Yuma42/KangalKhan-Ruby-7B-Fixed 

KangalKhan Ruby 7B Fixed Benchmarks

ARC: 67.24 vs 96.7 (so35)-30.5%
HellaSwag: 85.22 vs 95.3 (gpt4)-10.6%
MMLU: 63.21 vs 88.3 (so35)-28.4%
TruthfulQA: 56.49 vs 59 (gpt4)-4.3%
WinoGrande: 77.98 vs 87.5 (gpt4)-10.9%
GSM8K: 61.94 vs 96.4 (so35)-35.7%
LLME Score: 0.1328
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KangalKhan Ruby 7B Fixed (Yuma42/KangalKhan-Ruby-7B-Fixed)
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KangalKhan Ruby 7B Fixed Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial Applications
Primary Use Cases:
Chat assistants, Information retrieval
Limitations:
Potential output of typos in rare cases
Additional Notes 
The model is a merge using LazyMergekit and is noted for occasional typo outputs.
Supported Languages 
en (Native)
Training Details 
Data Sources:
argilla/CapybaraHermes-2.5-Mistral-7B, argilla/distilabeled-OpenHermes-2.5-Mistral-7B
Methodology:
LazyMergekit
Model Architecture:
slerp
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameKangalKhan Ruby 7B Fixed
Repository 🤗https://huggingface.co/Yuma42/KangalKhan-Ruby-7B-Fixed 
Base Model(s)  argilla/CapybaraHermes-2.5-Mistral-7B   argilla/distilabeled-OpenHermes-2.5-Mistral-7B   argilla/CapybaraHermes-2.5-Mistral-7B   argilla/distilabeled-OpenHermes-2.5-Mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-04-11
MaintainerYuma42
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 Version4.35.2
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-Ruby-7B-Fixed.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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