| --- |
| language: |
| - en |
| license: mit |
| datasets: |
| - OllieStanley/humaneval-mbpp-codegen-qa |
| - OllieStanley/humaneval-mbpp-testgen-qa |
| --- |
| |
| This repo contains a low-rank adapter for LLaMA-7b fit on the data containing a request to write a python function. |
|
|
| ### How to use (8-bit) |
|
|
| ```python |
| import torch |
| from peft import PeftModel |
| from transformers import LlamaTokenizer, LlamaForCausalLM, GenerationConfig |
| |
| tokenizer = LLaMATokenizer.from_pretrained("decapoda-research/llama-13b-hf") |
| |
| model = LLaMAForCausalLM.from_pretrained( |
| "decapoda-research/llama-7b-hf", |
| load_in_8bit=True, |
| device_map="auto", |
| ) |
| |
| |
| model = PeftModel.from_pretrained(model, "Aspik101/Alpaca7b_python_assistant") |
| |
| |
| def get_answer(question, model_version = model): |
| PROMPT =f'''Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. |
| |
| ### Instruction: |
| {question} |
| |
| ### Response: |
| ''' |
| |
| inputs = tokenizer( |
| PROMPT, |
| return_tensors="pt", |
| ) |
| input_ids = inputs["input_ids"].cuda() |
| |
| generation_config = GenerationConfig( |
| temperature=0.2, |
| top_p=0.95, |
| repetition_penalty=1.15, |
| ) |
| print("Generating...") |
| generation_output = model_version.generate( |
| input_ids=input_ids, |
| generation_config=generation_config, |
| return_dict_in_generate=True, |
| output_scores=True, |
| max_new_tokens=128, |
| ) |
| |
| sentences = " ".join([tokenizer.decode(s) for s in generation_output.sequences]) |
| print(sentences.split("Response:\n")[1]) |
| |
| ``` |
| ### Examples |
|
|
|
|
| ```python |
| get_answer("Write a function that read csv by pandas") |
| |
| Generating... |
| def read_csv(file): |
| df = pd.read_csv('data/test.csv') |
| |
| |
| |
| get_answer("Write a function that check if number is even") |
| |
| Generating... |
| def is_even(n): |
| return n %2 ==0 |
| |
| ``` |