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CardThinker 32B V3 by AlexBefest

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  Axolotl Base model:finetune:qwen/qwq-3...   Base model:qwen/qwq-32b   Conversational   En   Qwen2   Reasoning   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AlexBefest/CardThinker-32B-v3 

CardThinker 32B V3 Benchmarks

LLME Score: 0.22041
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CardThinker 32B V3 (AlexBefest/CardThinker-32B-v3)
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CardThinker 32B V3 Parameters and Internals

LLM NameCardThinker 32B V3
Repository 🤗https://huggingface.co/AlexBefest/CardThinker-32B-v3 
Base Model(s)  QwQ 32B   Qwen/QwQ-32B
Model Size32b
Required VRAM65.8 GB
Updated2025-06-08
MaintainerAlexBefest
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.50.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AlexBefest/CardThinker-32B-v3.

Rank the CardThinker 32B V3 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241124
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