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Atlas 7B by DRXD1000

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  Autotrain compatible   Conversational   De   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DRXD1000/Atlas-7B 

Atlas 7B Benchmarks

MMLU Pro: 4.46
GPQA: 1.01
MUSR: 0.78
BBH: 7.54
IFEval: 37.04 vs 88 (so35)-57.9%
MATH Lvl 5: 1.89
LLME Score: 0.25228
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Atlas 7B (DRXD1000/Atlas-7B)

Atlas 7B Parameters and Internals

LLM NameAtlas 7B
Repository 🤗https://huggingface.co/DRXD1000/Atlas-7B 
Model Size7b
Required VRAM15.6 GB
Updated2025-03-22
MaintainerDRXD1000
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   3.5 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagesde en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.47.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size256009
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DRXD1000/Atlas-7B.

Rank the Atlas 7B 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 v20241227
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