Quasar 3.7 by silx-ai

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  Arxiv:2412.06822   Autotrain compatible Base model:finetune:silx-ai/qu...   Base model:silx-ai/quasar-3.7   Conversational Dataset:eyad-silx/qausar-3.7-c...   Endpoints compatible   Qwen2   Region:us   Rl   Safetensors   Sft   Sharded   Silx   Tensorflow   Trl
Model Card on HF ๐Ÿค—: https://huggingface.co/silx-ai/Quasar-3.7 

Quasar 3.7 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quasar 3.7 (silx-ai/Quasar-3.7)

Quasar 3.7 Parameters and Internals

LLM NameQuasar 3.7
Repository ๐Ÿค—https://huggingface.co/silx-ai/Quasar-3.7 
Model NameQuasar-3.7
Base Model(s)  silx-ai/Quasar-3.7   silx-ai/Quasar-3.7
Model Size7.6b
Required VRAM15.2 GB
Updated2025-04-08
Maintainersilx-ai
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than silx-ai/Quasar-3.7.

Rank the Quasar 3.7 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241227