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ABEJA QwQ32b Reasoning Japanese V1.0 by abeja

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ABEJA QwQ32b Reasoning Japanese V1.0 is an open-source language model by abeja. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwq-3...   Base model:qwen/qwq-32b   Conversational   Endpoints compatible   Ja   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/abeja/ABEJA-QwQ32b-Reasoning-Japanese-v1.0 

ABEJA QwQ32b Reasoning Japanese V1.0 Benchmarks

LLME Score: 0.18853
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ABEJA QwQ32b Reasoning Japanese V1.0 (abeja/ABEJA-QwQ32b-Reasoning-Japanese-v1.0)
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ABEJA QwQ32b Reasoning Japanese V1.0 Parameters and Internals

LLM NameABEJA QwQ32b Reasoning Japanese V1.0
Repository 🤗https://huggingface.co/abeja/ABEJA-QwQ32b-Reasoning-Japanese-v1.0 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1   QwQ 32B   Qwen/Qwen2.5-32B-Instruct   abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1   Qwen/QwQ-32B
Model Size32b
Required VRAM65.8 GB
Updated2026-05-08
Maintainerabeja
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 Languagesja
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
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 abeja/ABEJA-QwQ32b-Reasoning-Japanese-v1.0.

Rank the ABEJA QwQ32b Reasoning Japanese V1.0 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  
Code Generation  
Multi-Language Support and Translation  

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