Quasar 3.3 Max by silx-ai

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  Arxiv:2412.06822   Autotrain compatible Base model:eyad-silx/quasar-3.... Base model:finetune:eyad-silx/...   Conversational Dataset:eyad-silx/quasar-max-3...   Endpoints compatible   Qwen2   Region:us   Rl   Safetensors   Sft   Sharded   Silx   Tensorflow   Trl
Model Card on HF ๐Ÿค—: https://huggingface.co/silx-ai/Quasar-3.3-Max 

Quasar 3.3 Max Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quasar 3.3 Max (silx-ai/Quasar-3.3-Max)

Quasar 3.3 Max Parameters and Internals

LLM NameQuasar 3.3 Max
Repository ๐Ÿค—https://huggingface.co/silx-ai/Quasar-3.3-Max 
Model NameQuasar-3.0-Max
Base Model(s)  eyad-silx/Quasar-3.0-Max   eyad-silx/Quasar-3.0-Max
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-3.3-Max.

Rank the Quasar 3.3 Max Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227