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Qwq 32B Chat Brainstorm V3.2 by DevQuasar

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  Qwen2   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DevQuasar/qwq-32b_chat_brainstorm-v3.2 

Qwq 32b Chat Brainstorm V3.2 Benchmarks

LLME Score: 0.26045
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwq 32B Chat Brainstorm V3.2 (DevQuasar/qwq-32b_chat_brainstorm-v3.2)

Qwq 32B Chat Brainstorm V3.2 Parameters and Internals

LLM NameQwq 32b Chat Brainstorm V3.2
Repository 🤗https://huggingface.co/DevQuasar/qwq-32b_chat_brainstorm-v3.2 
Model Size32b
Required VRAM131.5 GB
Updated2025-03-21
MaintainerDevQuasar
Model Typeqwen2
Model Files  4.5 GB: 1-of-29   4.7 GB: 2-of-29   4.5 GB: 3-of-29   4.5 GB: 4-of-29   4.7 GB: 5-of-29   4.5 GB: 6-of-29   4.5 GB: 7-of-29   4.7 GB: 8-of-29   4.5 GB: 9-of-29   4.5 GB: 10-of-29   4.7 GB: 11-of-29   4.5 GB: 12-of-29   4.5 GB: 13-of-29   4.7 GB: 14-of-29   4.5 GB: 15-of-29   4.5 GB: 16-of-29   4.7 GB: 17-of-29   4.5 GB: 18-of-29   4.5 GB: 19-of-29   4.7 GB: 20-of-29   4.5 GB: 21-of-29   4.5 GB: 22-of-29   4.7 GB: 23-of-29   4.5 GB: 24-of-29   4.5 GB: 25-of-29   4.7 GB: 26-of-29   4.5 GB: 27-of-29   4.5 GB: 28-of-29   3.7 GB: 29-of-29
Model ArchitectureQwen2ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than DevQuasar/qwq-32b_chat_brainstorm-v3.2.

Rank the Qwq 32B Chat Brainstorm V3.2 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  
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Multi-Language Support and Translation  

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Release v20241227
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