---
language:
- en
license: other
tags:
- chat
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
library_name: transformers
---

# Dracarys2-72B-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 [Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)

Compared to Qwen2.5-72B-Instruct, Dracarys has better LiveCodeBench scores (see evaluation results below).

### Model Description

- **Developed by:** [Abacus.AI](https://abacus.ai)
- **License:** https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
- **Finetuned from model:** [Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct).

## How to use

The prompt format is unchanged from Qwen2.5-72B-Instruct (see evaluations for prompt details for LCB)

### Use with transformers

See the snippet below for usage with Transformers:

```python
import transformers
import torch

model_id = "abacusai/Dracarys2-72B-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 (COT) |Test Output Prediction |
|----------------------------|-----------------|----------------------|-----------------------|
| **Dracarys2-72B-Instruct** | **53.80**       | **89.12**            | **59.61**             |
| Qwen2.5-72B-Instruct       | 53.03           | 88.72                | 46.28                 |

## Breakdown of LiveCodeBench CodeGeneration

| Model                     | Easy            | Medium         | Hard          |
|---------------------------|-----------------|----------------|---------------|
| **Dracarys2-72B-Instruct**| **88.79**       | **50.28**      | 9.47          |
| Qwen2.5-72B-Instruct      |  86.99          | 49.59          | 9.99          |

## Breakdown of LiveCodeBench TestOutputPrediction

| Model                     | Easy            | Medium         | Hard                  |
|---------------------------|-----------------|----------------|-----------------------|
| **Dracarys2-72B-Instruct**| **79.25**       | **53.76**      | **37.63**             |
| Qwen2.5-72B-Instruct      |  68.43          |  39.46         |  22.22                |