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Calme 2.1 Qwen2 72B by MaziyarPanahi

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Calme 2.1 Qwen2 72B is an open-source language model by MaziyarPanahi. Features: 72b LLM, VRAM: 146GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.27.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-72b-inst...   Chat   Chatml   Conversational   Deploy:azure   En   Finetuned   Instruct   Model-index   Qwen   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/calme-2.1-qwen2-72b 

Calme 2.1 Qwen2 72B Benchmarks

MMLU Pro: 49.05
GPQA: 17.45
MUSR: 20.15
BBH: 57.33
IFEval: 81.63 vs 88 (so35)-7.2%
MATH Lvl 5: 40.79
LLME Score: 0.2713
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Calme 2.1 Qwen2 72B (MaziyarPanahi/calme-2.1-qwen2-72b)
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Calme 2.1 Qwen2 72B Parameters and Internals

Model Type 
text-generation
Use Cases 
Applications:
Advanced question-answering systems, Intelligent chatbots and virtual assistants, Content generation and summarization, Code generation and analysis, Complex problem-solving and decision support
Additional Notes 
The model excels across a wide range of benchmarks and real-world applications.
Responsible Ai Considerations 
Mitigation Strategies:
As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
Input Output 
Input Format:
ChatML
LLM NameCalme 2.1 Qwen2 72B
Repository 🤗https://huggingface.co/MaziyarPanahi/calme-2.1-qwen2-72b 
Model NameMaziyarPanahi/calme-2.1-qwen2-72b
Model CreatorMaziyarPanahi
Base Model(s)  Qwen2 72B Instruct   Qwen/Qwen2-72B-Instruct
Model Size72b
Required VRAM146 GB
Updated2026-04-08
MaintainerMaziyarPanahi
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Calme 2.1 Qwen2 72B

Best Alternatives
Context / RAM
Downloads
Likes
EVA Qwen2.5 72B V0.2128K / 146 GB18722
AceInstruct 72B128K / 146 GB26117
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB111
...2B PT BR Instruct Experimental128K / 146 GB90
... BI Qwen2.5 72B PT BR Instruct128K / 146 GB50
...A Abliterated TIES Qwen2.5 72B128K / 146.1 GB91
72B Qwen2.5 Kunou V1128K / 146 GB8425
EVA Qwen2.5 72B V0.1128K / 146 GB8119
EVA Qwen2.5 72B V0.0128K / 146 GB2255
Qwen2 72B Instruct32K / 145.5 GB42456716
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/calme-2.1-qwen2-72b.

Rank the Calme 2.1 Qwen2 72B 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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