Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# Introduction
|
| 2 |
[Rain's SQLCoder](https://huggingface.co/SuanChang/rain-SQLCoder) is a state-of-the-art large language model (LLM) designed for natural language-to-SparkSQL generation. Rain's SQLCoder, with 32B parameters, is fine-tuned from the [Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct). Optimized for natural language-to-SparkSQL conversion tasks, Rain's SQLCoder effectively handles contexts of up to 32k tokens, making it particularly suitable for generating complex and large-scale SQL queries.
|
| 3 |
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model:
|
| 4 |
+
- Qwen/Qwen2.5-Coder-32B-Instruct
|
| 5 |
+
pipeline_tag: text-generation
|
| 6 |
+
library_name: transformers
|
| 7 |
+
---
|
| 8 |
# Introduction
|
| 9 |
[Rain's SQLCoder](https://huggingface.co/SuanChang/rain-SQLCoder) is a state-of-the-art large language model (LLM) designed for natural language-to-SparkSQL generation. Rain's SQLCoder, with 32B parameters, is fine-tuned from the [Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct). Optimized for natural language-to-SparkSQL conversion tasks, Rain's SQLCoder effectively handles contexts of up to 32k tokens, making it particularly suitable for generating complex and large-scale SQL queries.
|
| 10 |
|