metadata
base_model:
- meta-llama/Llama-3.1-8B-Instruct
language:
- ru
- en
library_name: transformers
license: llama3.1
pipeline_tag: text-generation
Model Card
Devple is a fine-tuned model based on Llama 3.1 Instruct, designed for development tasks such as code generation and review, with a focus on the quality and safety of the generated code. Its synthetic dataset was generated using GPT-4o with Llama-3 (rejected).
Model Details
Model Description
Devple is a fine-tuned model based on Llama 3.1 Instruct. The model is built on a synthetic dataset. The main focus of the training was on development-related tasks such as code generation, code review, refactoring, etc., with particular emphasis on the quality and safety of the generated code.
Fine-tuning was done using ORPO. The dataset was generated using GPT-4o (chosen) and Llama-3 (rejected).
- Language(s) (NLP): English, Russian
- Finetuned from model: Llama 3.1 Instruct
Uses
Direct Use
import transformers
import torch
model_id = "Kkaastr/Devple-8B"
pipeline = transformers.pipeline(
"text-generation",
model=model_id,
model_kwargs={"torch_dtype": torch.bfloat16},
device_map="auto",
)
messages = [
{"role": "system", "content": "You are a pirate chatbot who always responds in pirate speak!"},
{"role": "user", "content": "Who are you?"},
]
outputs = pipeline(
messages,
max_new_tokens=256,
)
print(outputs[0]["generated_text"][-1])