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KangalKhan RawEmerald 7B by Yuma42

 »  All LLMs  »  Yuma42  »  KangalKhan RawEmerald 7B   URL Share it on

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  Merged Model Argilla/capybarahermes-2.5-mis... Argilla/distilabeled-openherme...   Autotrain compatible 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-RawEmerald-7B 

KangalKhan RawEmerald 7B Benchmarks

ARC: 66.89 vs 96.7 (so35)-30.8%
HellaSwag: 85.75 vs 95.3 (gpt4)-10%
MMLU: 63.23 vs 88.3 (so35)-28.4%
TruthfulQA: 57.58 vs 59 (gpt4)-2.4%
WinoGrande: 78.22 vs 87.5 (gpt4)-10.6%
GSM8K: 62.85 vs 96.4 (so35)-34.8%
LLME Score: 0.17721
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KangalKhan RawEmerald 7B (Yuma42/KangalKhan-RawEmerald-7B)

KangalKhan RawEmerald 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is a merge of argilla/CapybaraHermes-2.5-Mistral-7B and argilla/distilabeled-OpenHermes-2.5-Mistral-7B.
Training Details 
Data Sources:
argilla/CapybaraHermes-2.5-Mistral-7B, argilla/distilabeled-OpenHermes-2.5-Mistral-7B
Methodology:
Merge using LazyMergekit
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
text
LLM NameKangalKhan RawEmerald 7B
Repository 🤗https://huggingface.co/Yuma42/KangalKhan-RawEmerald-7B 
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
Updated2025-02-22
MaintainerYuma42
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 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-RawEmerald-7B.

Rank the KangalKhan RawEmerald 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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