| | --- |
| | 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 |
| | |
| | ``` |