metadata
language:
- en
license: other
tags:
- chat
license_name: tongyi-qianwen
license_link: https://huggingface.co./Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
Dracarys-72B-Instruct
Introduction
We introduce the latest in the Smaug series, the Dracarys family of finetunes targeting coding performance improvements across a variety of base models.
This variant is a finetune of Qwen2-72B-Instruct
Compared to Qwen2-72B-Instruct, Dracarys has better LiveCodeBench scores (see evaluation results below).
Model Description
- Developed by: Abacus.AI
- License: https://huggingface.co./Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
- Finetuned from model: Qwen2-72B-Instruct.
How to use
The prompt format is unchanged from Qwen2-72B-Instruct (see evaluations for prompt details for LCB)
Use with transformers
See the snippet below for usage with Transformers:
import transformers
import torch
model_id = "abacusai/Dracarys-72B-Instruct"
pipeline = transformers.pipeline(
"text-generation",
model=model_id,
model_kwargs={"torch_dtype": torch.bfloat16},
device_map="auto",
)
messages = [
{"role": "system", "content": "You are data science coding assistant that generates Python code using Pandas and Numpy."},
{"role": "user", "content": "Write code to select rows from the dataframe `df` having the maximum `temp` for each `city`"},
]
prompt = pipeline.tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
terminators = [
pipeline.tokenizer.eos_token_id,
pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
]
outputs = pipeline(
prompt,
max_new_tokens=256,
eos_token_id=terminators,
do_sample=True,
temperature=0.6,
top_p=0.9,
)
print(outputs[0]["generated_text"][len(prompt):])
Evaluation Results
LiveCodeBench
Model | Code Generation | Code Execution | Test Output Prediction |
---|---|---|---|
Dracarys-72B-Instruct | 33.86 | 54.30 | 53.26 |
Qwen2-72B-Instruct | 30.10 | TBD | TBD |
HuggingFace Benchmarks
Model | MMLU-Pro | MMLU | BBH |
---|---|---|---|
Dracarys-72B-Instruct | 63.22 | 82.4 | 68.17 |
Qwen2-72B-Instruct | 62.8 | 82.2 | 67.78 |