Update README.md
Browse files
README.md
CHANGED
|
@@ -7,8 +7,34 @@ license: llama2
|
|
| 7 |
|
| 8 |
Welcome to our Code Model repository! Our model is specifically fine-tuned for code generation tasks, aiming to revolutionize how systems understand and translate natural language instructions into code queries. Built on CodeLLaMa 13B, our model has been meticulously fine-tuned with a curated code generation instructions, ensuring quality and precision.
|
| 9 |
|
|
|
|
| 10 |
|
| 11 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
|
| 13 |
Inference code using the pre-trained model from the Hugging Face model hub
|
| 14 |
|
|
@@ -49,3 +75,7 @@ The model is trained of 8 A100 80GB for approximately 15hrs.
|
|
| 49 |
| optimizer | adamw |
|
| 50 |
| fp16 | True |
|
| 51 |
| GPU | 8 A100 80GB |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
|
| 8 |
Welcome to our Code Model repository! Our model is specifically fine-tuned for code generation tasks, aiming to revolutionize how systems understand and translate natural language instructions into code queries. Built on CodeLLaMa 13B, our model has been meticulously fine-tuned with a curated code generation instructions, ensuring quality and precision.
|
| 9 |
|
| 10 |
+
### News 🔥🔥🔥
|
| 11 |
|
| 12 |
+
- [2024/01/03] We released **Code Millenials 34B** , which achieves the **80.48 pass@1** on the [HumanEval Benchmarks](https://github.com/openai/human-eval).
|
| 13 |
+
- [2024/01/02] We released **Code Millenials 13B** , which achieves the **76.21 pass@1** on the [HumanEval Benchmarks](https://github.com/openai/human-eval).
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
### HumanEval
|
| 17 |
+
|
| 18 |
+
<p align="center" width="100%">
|
| 19 |
+
<a ><img src="https://github.com/BudEcosystem/code-millenials/blob/main/assets/result.png" alt="CodeMillenials" style="width: 100%; min-width: 300px; display: block; margin: auto;"></a>
|
| 20 |
+
</p>
|
| 21 |
+
|
| 22 |
+
For the millenial models, the eval script is used for the above result.
|
| 23 |
+
|
| 24 |
+
Note: The humaneval values of other models are taken from the official repos of [WizardCoder](https://github.com/nlpxucan/WizardLM), [DeepseekCoder](https://github.com/deepseek-ai/deepseek-coder), [Gemini](https://deepmind.google/technologies/gemini/#capabilities) etc.
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
### Models
|
| 28 |
+
|
| 29 |
+
| Model | Checkpoint | HumanEval |
|
| 30 |
+
|---------|-------------|-----------|
|
| 31 |
+
|Code Millenials 34B | <a href="https://huggingface.co/budecosystem/code-millenials-34b" target="_blank">HF Link</a> | 80.48 |
|
| 32 |
+
|Code Millenials 13B | <a href="https://huggingface.co/budecosystem/code-millenials-13b" target="_blank">HF Link</a> | 76.21 |
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
### 🚀 Quick Start
|
| 38 |
|
| 39 |
Inference code using the pre-trained model from the Hugging Face model hub
|
| 40 |
|
|
|
|
| 75 |
| optimizer | adamw |
|
| 76 |
| fp16 | True |
|
| 77 |
| GPU | 8 A100 80GB |
|
| 78 |
+
|
| 79 |
+
### Important Note
|
| 80 |
+
|
| 81 |
+
- **Bias, Risks, and Limitations:** Model may sometimes make errors, produce misleading contents, or struggle to manage tasks that are not related to coding.
|