Update README.md
Browse files
README.md
CHANGED
|
@@ -9,6 +9,10 @@ tags:
|
|
| 9 |
- gguf
|
| 10 |
- f32
|
| 11 |
- f16
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
- humaneval
|
| 13 |
license: mit
|
| 14 |
---
|
|
@@ -17,14 +21,16 @@ license: mit
|
|
| 17 |
|
| 18 |
WaveCoder 🌊 is a series of large language models (LLMs) for the coding domain.
|
| 19 |
|
| 20 |
-
Apologies for the incomplete model details, the GitHub repo doesn't exist and I'm currently trying to quant all the models.
|
| 21 |
-
|
| 22 |
## Model Details
|
| 23 |
|
| 24 |
### Model Description
|
| 25 |
|
| 26 |
WaveCoder 🌊 is a series of large language models (LLMs) for the coding domain, designed to solve relevant problems in the field of code through instruction-following learning. Its training dataset was generated from a subset of code-search-net data using a generator-discriminator framework based on LLMs that we proposed, covering four general code-related tasks: code generation, code summary, code translation, and code repair.
|
| 27 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
- **Developed by:** Yu, Zhaojian and Zhang, Xin and Shang, Ning and Huang, Yangyu and Xu, Can and Zhao, Yishujie and Hu, Wenxiang and Yin, Qiufeng
|
| 29 |
- **Model type:** Large Language Model
|
| 30 |
- **Language(s) (NLP):** English
|
|
@@ -32,12 +38,12 @@ WaveCoder 🌊 is a series of large language models (LLMs) for the coding domain
|
|
| 32 |
|
| 33 |
### Model Sources
|
| 34 |
|
| 35 |
-
- **Repository:** [
|
| 36 |
-
- **Paper
|
| 37 |
-
- **Demo
|
| 38 |
|
| 39 |
## Uses
|
| 40 |
|
| 41 |
-
Coding
|
| 42 |
|
| 43 |
## Original: [https://huggingface.co/microsoft/wavecoder-ds-6.7b](https://huggingface.co/microsoft/wavecoder-ds-6.7b)
|
|
|
|
| 9 |
- gguf
|
| 10 |
- f32
|
| 11 |
- f16
|
| 12 |
+
- q2
|
| 13 |
+
- q8
|
| 14 |
+
- q6
|
| 15 |
+
- q4_k_m
|
| 16 |
- humaneval
|
| 17 |
license: mit
|
| 18 |
---
|
|
|
|
| 21 |
|
| 22 |
WaveCoder 🌊 is a series of large language models (LLMs) for the coding domain.
|
| 23 |
|
|
|
|
|
|
|
| 24 |
## Model Details
|
| 25 |
|
| 26 |
### Model Description
|
| 27 |
|
| 28 |
WaveCoder 🌊 is a series of large language models (LLMs) for the coding domain, designed to solve relevant problems in the field of code through instruction-following learning. Its training dataset was generated from a subset of code-search-net data using a generator-discriminator framework based on LLMs that we proposed, covering four general code-related tasks: code generation, code summary, code translation, and code repair.
|
| 29 |
|
| 30 |
+
WaveCoder-ds = Trained using CodeOcean dataset
|
| 31 |
+
WaveCoder-pro = Trained using GPT-4 synthetic data
|
| 32 |
+
WaveCoder-ultra = Trained using enhanced GPT-4 synthetic data
|
| 33 |
+
|
| 34 |
- **Developed by:** Yu, Zhaojian and Zhang, Xin and Shang, Ning and Huang, Yangyu and Xu, Can and Zhao, Yishujie and Hu, Wenxiang and Yin, Qiufeng
|
| 35 |
- **Model type:** Large Language Model
|
| 36 |
- **Language(s) (NLP):** English
|
|
|
|
| 38 |
|
| 39 |
### Model Sources
|
| 40 |
|
| 41 |
+
- **Repository:** [https://huggingface.co/microsoft/wavecoder-ds-6.7b](https://huggingface.co/microsoft/wavecoder-ds-6.7b)
|
| 42 |
+
- **Paper :** [More Information Needed]
|
| 43 |
+
- **Demo :** [More Information Needed]
|
| 44 |
|
| 45 |
## Uses
|
| 46 |
|
| 47 |
+
Coding/Refactoring/Cleanup/Fixing Code
|
| 48 |
|
| 49 |
## Original: [https://huggingface.co/microsoft/wavecoder-ds-6.7b](https://huggingface.co/microsoft/wavecoder-ds-6.7b)
|