Calme 4x7B MoE V0.2 GGUF by MaziyarPanahi

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Calme 4x7B MoE V0.2 GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 8.8GB, MoE, Quantized, LLM Explorer Score: 0.13.

  2-bit   3-bit   4-bit   5-bit   6-bit   7b   8-bit   Autotrain compatible Base model:maziyarpanahi/calme... Base model:quantized:maziyarpa...   Calme   Conversational   Generated from trainer   Gguf   Mistral   Mixtral   Moe   Quantized   Region:us   Safetensors

Calme 4x7B MoE V0.2 GGUF Benchmarks

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 V0.2 GGUF (MaziyarPanahi/Calme-4x7B-MoE-v0.2-GGUF)
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Calme 4x7B MoE V0.2 GGUF Parameters and Internals

Model Type 
text-generation, conversational
LLM NameCalme 4x7B MoE V0.2 GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Calme-4x7B-MoE-v0.2-GGUF 
Model NameCalme-4x7B-MoE-v0.2-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/Calme-4x7B-MoE-v0.2   MaziyarPanahi/Calme-4x7B-MoE-v0.2
Model Size7b
Required VRAM8.8 GB
Updated2026-03-17
MaintainerMaziyarPanahi
Model Typemistral
Model Files  13.0 GB   8.8 GB   12.5 GB   11.6 GB   10.4 GB   14.6 GB   13.7 GB   17.1 GB   16.6 GB   19.8 GB   25.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Calme-4x7B-MoE-v0.2-GGUF.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20260328a