--- library_name: transformers license: apache-2.0 language: - en - ja base_model: Qwen/QwQ-32B-Preview --- # KARAKURI LM 32B Thinking 2501 Experimental ## Model Details ### Model Description - **Developed by:** [KARAKURI Inc.](https://about.karakuri.ai/) - **Model type:** Causal Language Models - **Languages**: Japanese - **License:** Apache 2.0 - **Finetuned from model:** [Qwen/QwQ-32B-Preview](https://huggingface.co./Qwen/QwQ-32B-Preview) - **Contact**: For questions and comments about the model, please email `karakuri-rd@karakuri.ai` - **Demo**: https://lm.karakuri.cc/ ## Usage ### Run the model ```python from transformers import AutoModelForCausalLM, AutoTokenizer model_name = "karakuri-ai/karakuri-lm-32b-thinking-2501-exp" model = AutoModelForCausalLM.from_pretrained( model_name, torch_dtype="auto", device_map="auto", ) tokenizer = AutoTokenizer.from_pretrained(model_name) messages = [ {"role": "user", "content": "こんにちは。"} ] input_ids = tokenizer.apply_chat_template( messages, add_generation_prompt=True, return_tensors="pt", ).to(model.device) outputs = model.generate(input_ids, max_new_tokens=512) tokenizer.decode(outputs[0][input_ids.shape[-1]:]) ``` ## Training Details ### Training Infrastructure - **Hardware**: The model was trained on 16 nodes of an Amazon EC2 trn1.32xlarge instance. - **Software**: We use code based on [neuronx-nemo-megatron](https://github.com/aws-neuron/neuronx-nemo-megatron). ## Acknowledgments This work was supported by the Ministry of Economy, Trade and Industry (METI) and the New Energy and Industrial Technology Development Organization (NEDO) through the [Generative AI Accelerator Challenge (GENIAC)](https://www.meti.go.jp/policy/mono_info_service/geniac/index.html). ## Citation ``` @misc{karakuri_lm_32b_thinking_2501_exp, author = { {KARAKURI} {I}nc. }, title = { {KARAKURI} {LM} 32{B} {T}hinking 2501 {E}xperimental }, year = { 2025 }, url = { https://huggingface.co./karakuri-ai/karakuri-lm-32b-thinking-2501-exp }, publisher = { Hugging Face }, journal = { Hugging Face repository } } ```