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--- |
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base_model: abacusai/Dracarys2-72B-Instruct |
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language: |
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- en |
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license: other |
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license_name: tongyi-qianwen |
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license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE |
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pipeline_tag: text-generation |
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tags: |
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- chat |
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quantized_by: Apel-sin |
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--- |
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# Dracarys2-72B-Instruct |
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# Introduction |
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We introduce the latest in the Smaug series, the Dracarys family of finetunes targeting coding performance improvements |
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across a variety of base models. |
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This variant is a finetune of [Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) |
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Compared to Qwen2.5-72B-Instruct, Dracarys has better LiveCodeBench scores (see evaluation results below). |
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### Model Description |
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- **Developed by:** [Abacus.AI](https://abacus.ai) |
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- **License:** https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE |
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- **Finetuned from model:** [Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct). |
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## How to use |
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The prompt format is unchanged from Qwen2.5-72B-Instruct (see evaluations for prompt details for LCB) |
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### Use with transformers |
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See the snippet below for usage with Transformers: |
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```python |
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import transformers |
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import torch |
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model_id = "abacusai/Dracarys2-72B-Instruct" |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model_id, |
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model_kwargs={"torch_dtype": torch.bfloat16}, |
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device_map="auto", |
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) |
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messages = [ |
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{"role": "system", "content": "You are data science coding assistant that generates Python code using Pandas and Numpy."}, |
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{"role": "user", "content": "Write code to select rows from the dataframe `df` having the maximum `temp` for each `city`"}, |
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] |
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prompt = pipeline.tokenizer.apply_chat_template( |
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messages, |
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tokenize=False, |
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add_generation_prompt=True |
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) |
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terminators = [ |
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pipeline.tokenizer.eos_token_id, |
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pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>") |
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] |
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outputs = pipeline( |
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prompt, |
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max_new_tokens=256, |
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eos_token_id=terminators, |
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do_sample=True, |
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temperature=0.6, |
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top_p=0.9, |
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) |
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print(outputs[0]["generated_text"][len(prompt):]) |
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``` |
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# Evaluation Results |
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## LiveCodeBench |
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| Model | Code Generation | Code Execution (COT) |Test Output Prediction | |
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|----------------------------|-----------------|----------------------|-----------------------| |
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| **Dracarys2-72B-Instruct** | **53.80** | **89.12** | **59.61** | |
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| Qwen2.5-72B-Instruct | 53.03 | 88.72 | 46.28 | |
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## Breakdown of LiveCodeBench CodeGeneration |
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| Model | Easy | Medium | Hard | |
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|---------------------------|-----------------|----------------|---------------| |
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| **Dracarys2-72B-Instruct**| **88.79** | **50.28** | 9.47 | |
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| Qwen2.5-72B-Instruct | 86.99 | 49.59 | 9.99 | |
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## Breakdown of LiveCodeBench TestOutputPrediction |
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| Model | Easy | Medium | Hard | |
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|---------------------------|-----------------|----------------|-----------------------| |
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| **Dracarys2-72B-Instruct**| **79.25** | **53.76** | **37.63** | |
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| Qwen2.5-72B-Instruct | 68.43 | 39.46 | 22.22 | |
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