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Qwerky QwQ 32B by featherless-ai

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Qwerky QwQ 32B is an open-source language model by featherless-ai. Features: 32b LLM, VRAM: 69.4GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.18.

  Arxiv:2505.03005   Autotrain compatible   Conversational   Custom code   Region:us   Rwkv6qwen2   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/featherless-ai/Qwerky-QwQ-32B 

Qwerky QwQ 32B Benchmarks

LLME Score: 0.18232
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwerky QwQ 32B (featherless-ai/Qwerky-QwQ-32B)
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Qwerky QwQ 32B Parameters and Internals

LLM NameQwerky QwQ 32B
Repository 🤗https://huggingface.co/featherless-ai/Qwerky-QwQ-32B 
Model Size32b
Required VRAM69.4 GB
Updated2025-07-17
Maintainerfeatherless-ai
Model Typerwkv6qwen2
Model Files  4.9 GB: 1-of-15   4.7 GB: 2-of-15   4.9 GB: 3-of-15   4.9 GB: 4-of-15   4.7 GB: 5-of-15   4.9 GB: 6-of-15   4.9 GB: 7-of-15   4.7 GB: 8-of-15   4.9 GB: 9-of-15   4.9 GB: 10-of-15   4.7 GB: 11-of-15   4.9 GB: 12-of-15   4.9 GB: 13-of-15   4.7 GB: 14-of-15   1.8 GB: 15-of-15
Model ArchitectureRWKV6Qwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwerky QwQ 32B

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Context / RAM
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QRWKV QwQ 32B128K / 69.4 GB2831
...WKV6 32B Instruct Preview V0.1128K / 69.6 GB2879
Note: green Score (e.g. "73.2") means that the model is better than featherless-ai/Qwerky-QwQ-32B.

Rank the Qwerky QwQ 32B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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