ATLAS 8B Instruct by Arc-Intelligence

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ATLAS 8B Instruct is an open-source language model by Arc-Intelligence. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Conversational Dataset:arc-intelligence/arc-a...   En   Endpoints compatible   Instruct   Pedagogy   Qwen3   Reasoning   Region:us   Safetensors   Sft   Sharded   Supervised-fine-tuning   Teacher-model   Tensorflow

ATLAS 8B Instruct 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 Instruct (Arc-Intelligence/ATLAS-8B-Instruct)
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ATLAS 8B Instruct Parameters and Internals

LLM NameATLAS 8B Instruct
Repository ๐Ÿค—https://huggingface.co/Arc-Intelligence/ATLAS-8B-Instruct 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2026-04-06
MaintainerArc-Intelligence
Model Typeqwen3
Instruction-BasedYes
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   0.0 GB   0.0 GB
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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Rank the ATLAS 8B Instruct 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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Release v20260328a