add measurement.json

README.md

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+---
+base_model: abacusai/Dracarys2-72B-Instruct
+language:
+- en
+license: other
+license_name: tongyi-qianwen
+license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- chat
+quantized_by: Apel-sin
+---
+# 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                |