DeepSeek R1 Distill Qwen 14B 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 14B 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 14B Japanese (cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese)

DeepSeek R1 Distill Qwen 14B Japanese Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 14B Japanese
Repository 🤗https://huggingface.co/cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese 
Base Model(s)  DeepSeek R1 Distill Qwen 14B   deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
Model Size14b
Required VRAM29.7 GB
Updated2025-02-13
Maintainercyberagent
Model Typeqwen2
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
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

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Note: green Score (e.g. "73.2") means that the model is better than cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227