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Atlas Chat 27B by MBZUAI-Paris

 »  All LLMs  »  MBZUAI-Paris  »  Atlas Chat 27B   URL Share it on

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  Arxiv:2308.16149   Arxiv:2409.17912   Ar   Ary   Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-27b-...   Conversational Dataset:mbzuai-paris/darija-sf...   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MBZUAI-Paris/Atlas-Chat-27B 

Atlas Chat 27B Benchmarks

LLME Score: 0.25152
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Atlas Chat 27B (MBZUAI-Paris/Atlas-Chat-27B)

Atlas Chat 27B Parameters and Internals

LLM NameAtlas Chat 27B
Repository 🤗https://huggingface.co/MBZUAI-Paris/Atlas-Chat-27B 
Base Model(s)  Gemma 2 27B It   google/gemma-2-27b-it
Model Size27b
Required VRAM54.7 GB
Updated2024-12-22
MaintainerMBZUAI-Paris
Model Typegemma2
Model Files  4.7 GB: 1-of-12   4.9 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   4.9 GB: 6-of-12   5.0 GB: 7-of-12   4.9 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   0.7 GB: 12-of-12
Supported Languagesar
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Atlas Chat 27B

Best Alternatives
Context / RAM
Downloads
Likes
SystemGemma2 27B It32K / 54.7 GB1082
SystemGemma2 27B It32K / 54.7 GB961
Gemma 2 27B It8K / 54.7 GB194695471
Gemma 2 27B8K / 108.3 GB641304191
...s Horizon AI Korean Superb 27B8K / 54.8 GB3041
Gemma2Crono 27B8K / 54.8 GB800
GemmaStock1 27B8K / 54.8 GB310
Gemma2Slerp3 27B8K / 54.8 GB310
Gemma2Slerp4 27B8K / 54.8 GB270
Magnum V3 27B Kto8K / 108.2 GB262611
Note: green Score (e.g. "73.2") means that the model is better than MBZUAI-Paris/Atlas-Chat-27B.

Rank the Atlas Chat 27B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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