---
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](https://huggingface.co/Qwen/Qwen2-72B-Instruct)

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

### Model Description

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

```python
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** | **33.57**       | **62.96**      | **58.93**             |
| Qwen2-72B-Instruct        | 32.92           | 58.95          | 55.88                 |

## Breakdown of LiveCodeBench CodeGeneration

| Model                     | Easy            | Medium         | Hard                  |
|---------------------------|-----------------|----------------|-----------------------|
| **Dracarys-72B-Instruct** | 64.16           | **25.06**      | **3.64**              |
| Qwen2-72B-Instruct        | 65.83           | 22.28          | 3.11                  |

## Breakdown of LiveCodeBench TestOutputPrediction

| Model                     | Easy            | Medium         | Hard                  |
|---------------------------|-----------------|----------------|-----------------------|
| **Dracarys-72B-Instruct** | **65.37**       | **58.74**      | **46.38**              |
| Qwen2-72B-Instruct        | 63.19           | 54.08          | 46.52                  |

## LiveBench

| Model                     | Global Average | Coding Average | Language Average | Mathematics Average | Data Analysis Average | Reasoning Average | IF Average |
|---------------------------|----------------|----------------|------------------|---------------------|-----------------------|------------------|-------------|
| **Dracarys-72B-Instruct** | **41.20**      | **38.95**      | **31.17**        | 42.77               | 26.24                 | 40               | 68.08       |
| Qwen2-72B-Instruct        | 40.15          | 32.38          | 29.21            | 43.44               | 26.24                 | 41.33            | 68.27       |