---
license: llama3
library_name: transformers
tags: []
---

# Dracarys-Llama-3.1-70B-Instruct

### Built with Meta Llama 3

# 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 [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct)

Compared to meta-llama/Meta-Llama-3.1-70B-Instruct, Dracarys has better LiveCodeBench scores (see evaluation results below).

### Model Description

- **Developed by:** [Abacus.AI](https://abacus.ai)
- **License:** https://llama.meta.com/llama3/license/
- **Finetuned from model:** [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct).

## How to use

The prompt format is unchanged from Llama 3 70B 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|>"),
    pipeline.tokenizer.convert_tokens_to_ids("<|end_of_text|>"),
]

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-Llama-3.1-70B-Instruct** | 37.08           | 39.00          | 49.90                 |
| Meta-Llama-3.1-70B-Instruct         | 31.80           | 55.50          | 41.40                 |

## HuggingFace Benchmarks

| Model                               | BBH             | 
|-------------------------------------|-----------------|
| **Dracarys-Llama-3.1-70B-Instruct** | **69.17**       |
| Meta-Llama-3.1-70B-Instruct         | 69.09           |