Update README.md
Browse files
README.md
CHANGED
|
@@ -5,6 +5,7 @@ datasets:
|
|
| 5 |
- HuggingFaceFW/fineweb
|
| 6 |
base_model:
|
| 7 |
- upiter/TinyCodeLM-150M
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
|
|
@@ -63,4 +64,4 @@ TinyCodeLM models were pretrained from scratch on a single H100 node (four GPUs)
|
|
| 63 |
```
|
| 64 |
|
| 65 |
# Safety
|
| 66 |
-
This work explores data-driven mechanisms for improving the quality of language model-generated code. Our synthetic data generation method relies on open-source data and our experiments leverage open-source software and resources. It is important to acknowledge that all language models for code synthesis have the potential to be misused – whether intentionally or unintentionally – for generation of code with vulnerabilities and/or malicious behaviors. Any and all model generated code has the potential to be harmful and must not be executed without precautions.
|
|
|
|
| 5 |
- HuggingFaceFW/fineweb
|
| 6 |
base_model:
|
| 7 |
- upiter/TinyCodeLM-150M
|
| 8 |
+
library_name: transformers
|
| 9 |
---
|
| 10 |
|
| 11 |
|
|
|
|
| 64 |
```
|
| 65 |
|
| 66 |
# Safety
|
| 67 |
+
This work explores data-driven mechanisms for improving the quality of language model-generated code. Our synthetic data generation method relies on open-source data and our experiments leverage open-source software and resources. It is important to acknowledge that all language models for code synthesis have the potential to be misused – whether intentionally or unintentionally – for generation of code with vulnerabilities and/or malicious behaviors. Any and all model generated code has the potential to be harmful and must not be executed without precautions.
|