ATLAS 8B Thinking by Arc-Intelligence

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  Adaptive-learning   Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Conversational Dataset:arc-intelligence/arc-a...   En   Endpoints compatible   Model-index   Pedagogy   Qwen3   Region:us   Rlaif   Rlhf   Safetensors   Sharded   Teacher-student   Tensorflow

ATLAS 8B Thinking Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ATLAS 8B Thinking (Arc-Intelligence/ATLAS-8B-Thinking)
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ATLAS 8B Thinking Parameters and Internals

LLM NameATLAS 8B Thinking
Repository ๐Ÿค—https://huggingface.co/Arc-Intelligence/ATLAS-8B-Thinking 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2025-09-13
MaintainerArc-Intelligence
Model Typeqwen3
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Arc-Intelligence/ATLAS-8B-Thinking.

Rank the ATLAS 8B Thinking 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124