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Clarus 7B V0.2 by suayptalha

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Clarus 7B V0.2 is an open-source language model by suayptalha. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: mit, Merged, LLM Explorer Score: 0.29.

  Merged Model   Arxiv:2403.19522 Base model:gz987/qwen2.5-7b-ca... Base model:gz987/qwen2.5-7b-ca... Base model:gz987/qwen2.5-7b-ca... Base model:gz987/qwen2.5-7b-ca...   Conversational   En   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/suayptalha/Clarus-7B-v0.2 

Clarus 7B V0.2 Benchmarks

MMLU Pro: 37.78
GPQA: 6.94
MUSR: 15.07
BBH: 36.02
IFEval: 76.79 vs 88 (so35)-12.7%
MATH Lvl 5: 48.56
LLME Score: 0.28818
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Clarus 7B V0.2 (suayptalha/Clarus-7B-v0.2)
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Clarus 7B V0.2 Parameters and Internals

LLM NameClarus 7B V0.2
Repository 🤗https://huggingface.co/suayptalha/Clarus-7B-v0.2 
Base Model(s)  gz987/qwen2.5-7b-cabs-v0.3   gz987/qwen2.5-7b-cabs-v0.4   gz987/qwen2.5-7b-cabs-v0.1   gz987/qwen2.5-7b-cabs-v0.2   gz987/qwen2.5-7b-cabs-v0.3   gz987/qwen2.5-7b-cabs-v0.4   gz987/qwen2.5-7b-cabs-v0.1   gz987/qwen2.5-7b-cabs-v0.2
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-04-10
Maintainersuayptalha
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Clarus 7B V0.2

Best Alternatives
Context / RAM
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Likes
Qwen2.5 7B Preview986K / 15.2 GB50
Qwen2.5 7B Instruct 1M986K / 15.4 GB101838363
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B V1.1986K / 15.2 GB61
Hush Qwen2.5 7B V1.4986K / 15.2 GB41
Hush Qwen2.5 7B Preview986K / 15.2 GB50
Hush Qwen2.5 7B V1.3986K / 15.2 GB42
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB42
Qwen 2.5 7B Exp Sce986K / 15.2 GB82
Qwen2.5 7B MixStock V0.1986K / 15.2 GB303
Note: green Score (e.g. "73.2") means that the model is better than suayptalha/Clarus-7B-v0.2.

Rank the Clarus 7B V0.2 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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