--- library_name: peft base_model: NousResearch/Llama-2-7b-hf license: apache-2.0 widget: - text: | Translate from english to hinglish: Where is the bathroom? --- Translation: example_title: Nature Calls output: text: "bathroom kaha hai?" - text: | Translate from english to hinglish: Can I pet your dog? --- Translation: example_title: Pet a Dog output: text: "kya mai apke dog ko pet kar sakta hoon?" datasets: - findnitai/english-to-hinglish - nateraw/english-to-hinglish language: - en - hi pipeline_tag: text-generation tags: - hinglish - en-to-hi --- # Model Card for Model ID Lora fine-tune of Llama-2-7b for english to hinglish translation. ```python import torch from transformers import AutoModelForCausalLM, pipeline PROMPT_TEMPLATE = ( f"Translate from english to hinglish:\n{{en}}\n---\nTranslation:\n" ) model_id = "nousresearch/llama-2-7b-hf" peft_model_id = "nateraw/llama-2-7b-english-to-hinglish" model = AutoModelForCausalLM.from_pretrained( model_id, device_map="auto", torch_dtype=torch.bfloat16 ) model.load_adapter(peft_model_id) pipe = pipeline( "text-generation", model=model, tokenizer=model_id, ) out = pipe( PROMPT_TEMPLATE.format(en="Can I pet your dog?"), return_full_text=False, do_sample=False, max_new_tokens=256 )[0]['generated_text'] print(out) ``` ## Model Details ### Model Description - **Developed by:** [@nateraw](https://huggingface.co/nateraw) - **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]:** [nousresearch/llama-2-7b-hf](https://huggingface.co/nousresearch/llama-2-7b-hf) ### 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] ## Training procedure ### Framework versions - PEFT 0.6.2 ## Training procedure ### Framework versions - PEFT 0.6.2 ## Training procedure ### Framework versions - PEFT 0.6.2