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Calme 4x7B MoE V0.1 by MaziyarPanahi

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Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Calme-4x7B-MoE-v0.1 

Calme 4x7B MoE V0.1 Benchmarks

MMLU Pro: 22.85
GPQA: 4.25
MUSR: 10.62
BBH: 31.26
IFEval: 43.15 vs 88 (so35)-51%
ARC: 72.53 vs 96.7 (so35)-25%
HellaSwag: 88.6 vs 95.3 (gpt4)-7%
MMLU: 64.57 vs 88.3 (so35)-26.9%
TruthfulQA: 72.86 vs 59 (gpt4)23.5%
WinoGrande: 83.5 vs 87.5 (gpt4)-4.6%
GSM8K: 71.11 vs 96.4 (so35)-26.2%
MATH Lvl 5: 8.01
LLME Score: 0.27735
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Calme 4x7B MoE V0.1 (MaziyarPanahi/Calme-4x7B-MoE-v0.1)

Calme 4x7B MoE V0.1 Parameters and Internals

Model Type 
Mixture of Experts (MoE), text generation
Use Cases 
Areas:
text generation
Applications:
educational tools, academic research, commonsense reasoning, natural language applications, trustworthy information retrieval, math educational software, context understanding
Additional Notes 
Quantized versions available for use on computers without accelerated hardware.
Supported Languages 
English (high proficiency), French (high proficiency), Ukrainian (high proficiency)
Training Details 
Methodology:
Mixture of Experts, fine-tuning of four individidual Calme-7B models
Model Architecture:
Integrates four Calme-7B models with two experts per token
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameCalme 4x7B MoE V0.1
Repository 🤗https://huggingface.co/MaziyarPanahi/Calme-4x7B-MoE-v0.1 
Model NameCalme-4x7B-MoE-v0.1
Model CreatorMaziyarPanahi
Model Size24.2b
Required VRAM48.3 GB
Updated2025-02-05
MaintainerMaziyarPanahi
Model Typemixtral
Model Files  9.9 GB: 1-of-5   9.9 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.5 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Calme 4x7B MoE V0.1

Model
Likes
Downloads
VRAM
Calme 4x7B MoE V0.1 GGUF0628 GB

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Calme-4x7B-MoE-v0.1.

Rank the Calme 4x7B MoE V0.1 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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