DeepSeek R1 Distill Qwen 32B Japanese by cyberagent

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  Arxiv:2501.12948 Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a...   Conversational   Ja   Japanese   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

DeepSeek R1 Distill Qwen 32B Japanese Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 Distill Qwen 32B Japanese (cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese)

DeepSeek R1 Distill Qwen 32B Japanese Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 32B Japanese
Repository 🤗https://huggingface.co/cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese 
Base Model(s)  DeepSeek R1 Distill Qwen 32B   deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size32b
Required VRAM65.8 GB
Updated2025-03-11
Maintainercyberagent
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
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.47.0
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size152064
Torch Data Typebfloat16

Quantized Models of the DeepSeek R1 Distill Qwen 32B Japanese

Model
Likes
Downloads
VRAM
...Distill Qwen 32B Japanese 4bit211518 GB
...Distill Qwen 32B Japanese 8bit24434 GB

Best Alternatives to DeepSeek R1 Distill Qwen 32B Japanese

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Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB763
Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB783
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB132
QwQ 32B128K / 65.8 GB1320361867
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB15070931245
TinyR1 32B Preview128K / 65.6 GB5106315
Qwen2.5 32B128K / 65.5 GB100110122
RomboUltima 32B128K / 20.7 GB1462
Ultiima 32B128K / 65.8 GB3345
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB12213
Note: green Score (e.g. "73.2") means that the model is better than cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227