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Calme 2.6 Qwen2 7B GGUF by MaziyarPanahi

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Calme 2.6 Qwen2 7B GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 4.5GB, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit Base model:maziyarpanahi/calme... Base model:quantized:maziyarpa...   Conversational   Gguf   Instruct   Mistral   Quantized   Qwen   Qwen-2   Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/calme-2.6-qwen2-7b-GGUF 

Calme 2.6 Qwen2 7B GGUF Benchmarks

LLME Score: 0.13948
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Calme 2.6 Qwen2 7B GGUF (MaziyarPanahi/calme-2.6-qwen2-7b-GGUF)
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Calme 2.6 Qwen2 7B GGUF Parameters and Internals

LLM NameCalme 2.6 Qwen2 7B GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/calme-2.6-qwen2-7b-GGUF 
Model Namecalme-2.6-qwen2-7b-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/calme-2.6-qwen2-7b   MaziyarPanahi/calme-2.6-qwen2-7b
Model Size7b
Required VRAM4.5 GB
Updated2026-05-06
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  4.7 GB   4.5 GB   5.4 GB   5.3 GB   6.2 GB   8.1 GB   15.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB115439505
Qwen2 7B Instruct GGUF0K / 1.9 GB6424610
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Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB58406608
Mistral 7B Instruct V0.3 GGUF0K / 2.7 GB1626011
Qwen2 7B Instruct V0.1 GGUF0K / 4.5 GB97140
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/calme-2.6-qwen2-7b-GGUF.

Rank the Calme 2.6 Qwen2 7B GGUF Capabilities

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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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