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Calme 2.4 Rys 78B by MaziyarPanahi

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  Autotrain compatible Base model:finetune:maziyarpan... Base model:maziyarpanahi/calme...   Chat   Chatml   Conversational   Dataset:intel/orca dpo pairs Dataset:maziyarpanahi/truthy-d...   En   Finetuned   Model-index   Qwen   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/calme-2.4-rys-78b 

Calme 2.4 Rys 78B Benchmarks

MMLU Pro: 66.69
GPQA: 20.36
MUSR: 34.57
BBH: 62.16
IFEval: 80.11 vs 88 (so35)-9%
MATH Lvl 5: 40.41
LLME Score: 0.38177
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Calme 2.4 Rys 78B (MaziyarPanahi/calme-2.4-rys-78b)

Calme 2.4 Rys 78B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
Advanced question-answering systems, Intelligent chatbots and virtual assistants, Content generation and summarization, Code generation and analysis, Complex problem-solving and decision support
Primary Use Cases:
text generation
Responsible Ai Considerations 
Fairness:
Users should be aware of potential biases and limitations.
Mitigation Strategies:
Implement appropriate safeguards and human oversight when deploying this model in production environments.
Input Output 
Input Format:
ChatML prompt template
Accepted Modalities:
text
Output Format:
Generated text
LLM NameCalme 2.4 Rys 78B
Repository 🤗https://huggingface.co/MaziyarPanahi/calme-2.4-rys-78b 
Model Namecalme-2.4-rys-78b
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/calme-2.1-rys-78b   MaziyarPanahi/calme-2.1-rys-78b
Model Size78b
Required VRAM201.4 GB
Updated2025-01-17
MaintainerMaziyarPanahi
Model Typeqwen2
Model Files  5.0 GB: 1-of-67   4.1 GB: 2-of-67   4.5 GB: 3-of-67   4.5 GB: 4-of-67   4.8 GB: 5-of-67   4.8 GB: 6-of-67   4.5 GB: 7-of-67   4.8 GB: 8-of-67   4.8 GB: 9-of-67   4.5 GB: 10-of-67   4.8 GB: 11-of-67   4.8 GB: 12-of-67   4.5 GB: 13-of-67   4.8 GB: 14-of-67   4.8 GB: 15-of-67   4.5 GB: 16-of-67   4.8 GB: 17-of-67   4.8 GB: 18-of-67   4.5 GB: 19-of-67   4.8 GB: 20-of-67   4.8 GB: 21-of-67   4.5 GB: 22-of-67   4.8 GB: 23-of-67   4.8 GB: 24-of-67   4.5 GB: 25-of-67   4.8 GB: 26-of-67   4.8 GB: 27-of-67   4.5 GB: 28-of-67   4.8 GB: 29-of-67   4.8 GB: 30-of-67   4.5 GB: 31-of-67   4.8 GB: 32-of-67   4.8 GB: 33-of-67   4.5 GB: 34-of-67   4.8 GB: 35-of-67   4.8 GB: 36-of-67   4.5 GB: 37-of-67   4.8 GB: 38-of-67   4.8 GB: 39-of-67   4.5 GB: 40-of-67   4.8 GB: 41-of-67   4.8 GB: 42-of-67   4.5 GB: 43-of-67
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.44.0.dev0
Vocabulary Size151646
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/calme-2.4-rys-78b.

Rank the Calme 2.4 Rys 78B 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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Release v20241227
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