--- library_name: transformers tags: [] --- Jamba Instruct (multilingual) ## Model Details This model was trained as a small-scale experiment to determine how easy it is to fine-tune ai21labs' Jamba v0.1 to work as a chatbot. The aim of this experiment was to find how intelligently and reliably Jamba can chat in both English and other languages if only finetuned for a few hours. Initial subjective testing has shown that this model can chat reasonably well in both English and Japanese, so feel free to give it a try! ### How to use ```python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("kinokokoro/jamba_airoboros3.2_sharegpt4", trust_remote_code=True) tokenizer = AutoTokenizer.from_pretrained("kinokokoro/jamba_airoboros3.2_sharegpt4") input_text = """<|im_start|>system You are GPT-4, a helpful assistant. <|im_end|> <|im_start|>user 最近、運動すれば、すぐにめっちゃくっちゃ汗かいちゃうんだけど、どうしたらいいですか? <|im_end|> <|im_start|>assistant """ input_ids = tokenizer(input_text, return_tensors='pt').to(model.device)["input_ids"] outputs = model.generate(input_ids, max_new_tokens=256, temperature=0.0)\ print(tokenizer.batch_decode([outputs[0][len(input_ids[0]):]])) # ['汗が出ることは、運動をするときに体温が上がり、体内の熱を外部に放出するための自然なメカニズムです。汗が出ることが多いことは、一般的には、体の温度調節機能が働いていることを意味します。しかし、汗が出ることが多すぎると、不快感や汗症などの問題が発生することがあります。以下に、汗が出ることが多い場合の対策を紹介します。\n\n1. 適切な服装を選ぶ: 汗が出ることが多い場合、軽量で透湿性の高い服を選ぶことが重要です。これにより、汗が体から外部に�'] ``` ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]