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UwU Qwen2.5 32B by nbeerbower

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UwU Qwen2.5 32B is an open-source language model by nbeerbower. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2306.01708   Ara Base model:huihui-ai/qwq-32b-a... Base model:nbeerbower/dumpling... Base model:nbeerbower/qwq-r1-a... Base model:nbeerbower/shiina-q...   Base model:qwen/qwen2.5-32b Base model:rinna/qwq-bakeneko-... Base model:trashpanda-org/qwq-...   Conversational   Deu   Endpoints compatible   Eng   Fra   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/nbeerbower/UwU-Qwen2.5-32B 

UwU Qwen2.5 32B Benchmarks

LLME Score: 0.18494
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
UwU Qwen2.5 32B (nbeerbower/UwU-Qwen2.5-32B)
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UwU Qwen2.5 32B Parameters and Internals

LLM NameUwU Qwen2.5 32B
Repository 🤗https://huggingface.co/nbeerbower/UwU-Qwen2.5-32B 
Base Model(s)  QwQ 32B Abliterated   nbeerbower/Dumpling-Qwen2.5-32B   Qwq Bakeneko 32B   QwQ 32B Snowdrop V0   Qwen/Qwen2.5-32B   nbeerbower/Shiina-Qwen2.5-32B   nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B   huihui-ai/QwQ-32B-abliterated   nbeerbower/Dumpling-Qwen2.5-32B   rinna/qwq-bakeneko-32b   trashpanda-org/QwQ-32B-Snowdrop-v0   Qwen/Qwen2.5-32B   nbeerbower/Shiina-Qwen2.5-32B   nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2026-03-29
Maintainernbeerbower
Model Typeqwen2
Model Files  5.0 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   1.9 GB: 14-of-14
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/UwU-Qwen2.5-32B.

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