Add model card numbers to Dracarys2-Llama3.1-70B-Instruct model

README.md

@@ -1,199 +1,111 @@
 ---
+license: llama3
 library_name: transformers
 tags: []
 ---
 
-# Model Card for Model ID
+# Dracarys2-Llama-3.1-70B-Instruct
 
-<!-- Provide a quick summary of what the model is/does. -->
+### 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.
 
-## Model Details
+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)
 
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+Compared to meta-llama/Meta-Llama-3.1-70B-Instruct, Dracarys has better LiveCodeBench scores (see evaluation results below).
 
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
+### Model Description
 
-## Technical Specifications [optional]
+- **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).
 
-### Model Architecture and Objective
+## How to use
 
-[More Information Needed]
+The prompt format is unchanged from Llama 3 70B Instruct (see evaluations for prompt details for LCB)
 
-### Compute Infrastructure
+### Use with transformers
 
-[More Information Needed]
+See the snippet below for usage with Transformers:
 
-#### Hardware
+```python
+import transformers
+import torch
 
-[More Information Needed]
+model_id = "abacusai/Dracarys-72B-Instruct"
 
-#### Software
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model_id,
+    model_kwargs={"torch_dtype": torch.bfloat16},
+    device_map="auto",
+)
 
-[More Information Needed]
+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`"},
+]
 
-## Citation [optional]
+prompt = pipeline.tokenizer.apply_chat_template(
+		messages, 
+		tokenize=False, 
+		add_generation_prompt=True
+)
 
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+terminators = [
+    pipeline.tokenizer.eos_token_id,
+    pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>"),
+    pipeline.tokenizer.convert_tokens_to_ids("<|end_of_text|>"),
+]
 
-**BibTeX:**
+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):])
+```
 
-[More Information Needed]
+# Evaluation Results
 
-**APA:**
 
-[More Information Needed]
+## LiveCodeBench
 
-## Glossary [optional]
+| Model                               | Code Generation | Code Execution |Test Output Prediction |
+|-------------------------------------|-----------------|----------------|-----------------------|
+| **Dracarys2-Llama-3.1-70B-Instruct**| **33.44**       | 48.26          | **52.10**             |
+| Meta-Llama-3.1-70B-Instruct         | 32.23           | 48.768         | 41.40                 |
 
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+## Breakdown of LiveCodeBench CodeGeneration
 
-[More Information Needed]
+| Model                               | Easy            | Medium         | Hard                  |
+|-------------------------------------|-----------------|----------------|-----------------------|
+| **Dracarys2-Llama-3.1-70B-Instruct**| **71.29**       | **18.48**      | **3.57**              |
+| Meta-Llama-3.1-70B-Instruct         | 68.4            | 17.99          | 3.57                  |
 
-## More Information [optional]
+## Breakdown of LiveCodeBench CodeExecution
 
-[More Information Needed]
+| Model                               | COT             | Non-COT        |
+|-------------------------------------|-----------------|----------------|
+| **Dracarys2-Llama-3.1-70B-Instruct**| **75.55**       | 48.26          |
+| Meta-Llama-3.1-70B-Instruct         | 70.14           | 48.768         |
 
-## Model Card Authors [optional]
+## Breakdown of LiveCodeBench TestOutputPrediction
 
-[More Information Needed]
+| Model                               | Easy            | Medium         | Hard                  |
+|-------------------------------------|-----------------|----------------|-----------------------|
+| **Dracarys2-Llama-3.1-70B-Instruct**| **63.53**       | **47.30**      | **43.61**             |
+| Meta-Llama-3.1-70B-Instruct         | 51.22           | 35.91          | 34.30                 |
 
-## Model Card Contact
+## LiveBench(Aug update)
 
-[More Information Needed]
+| Model                               | Global Average | Coding Average | Reasoning Average| Mathematics Average | Data Analysis Average | Language Average | IF Average  |
+|-------------------------------------|----------------|----------------|------------------|---------------------|-----------------------|------------------|-------------|
+| **Dracarys2-Llama-3.1-70B-Instruct**| **47.8**       | **36.3**       | **47.3**         | **38.9**            | 46.1                  | 41.5             | 76.6        |
+| Meta-Llama-3.1-70B-Instruct         | 45.1           | 30.7           | 35.3             | 37.0                | 48.4                  | 42.1             | 77.2        |