Minh141120 commited on
Commit
6e13d85
·
verified ·
1 Parent(s): 07f02a3

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +35 -0
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ ---
4
+ ## Overview
5
+
6
+ **Qwen Labs** developed and released the [Qwen2.5-Coder](https://huggingface.co/Qwen) model, a state-of-the-art language model tailored for code generation, understanding, and completion tasks. Featuring a 2.5B parameter dense Transformer architecture, Qwen2.5-Coder is designed to assist developers and researchers by generating high-quality code snippets, providing algorithm explanations, and completing coding prompts with accuracy. The model was trained on a diverse blend of programming languages and frameworks using carefully filtered code datasets to ensure precision and relevance. It leverages advanced fine-tuning techniques and rigorous safety measures to optimize instruction adherence and deliver reliable, contextually aware outputs. Released in November 2024, Qwen2.5-Coder offers an effective tool for software development, academic research, and programming education.
7
+
8
+ ## Variants
9
+
10
+ | No | Variant | Cortex CLI command |
11
+ | --- | --- | --- |
12
+ | 1 | [gguf](https://huggingface.co/cortexso/qwen2.5-coder/tree/main) | `cortex run qwen2.5-coder` |
13
+
14
+ ## Use it with Jan (UI)
15
+
16
+ 1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
17
+ 2. Use in Jan model Hub:
18
+ ```text
19
+ cortexso/qwen2.5-coder
20
+ ```
21
+
22
+ ## Use it with Cortex (CLI)
23
+
24
+ 1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
25
+ 2. Run the model with command:
26
+ ```bash
27
+ cortex run qwen2.5-coder
28
+ ```
29
+
30
+ ## Credits
31
+
32
+ - **Author:** Qwen Labs
33
+ - **Converter:** [Homebrew](https://www.homebrew.ltd/)
34
+ - **Original License:** [License](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE)
35
+ - **Papers:** [Qwen2.5-Coder Technical Report](https://arxiv.org/abs/2409.12186)