初始化项目，由ModelHub XC社区提供模型

Model: OpenPipe/Qwen3-14B-Instruct
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-14B/blob/main/LICENSE
+pipeline_tag: text-generation
+base_model:
+- Qwen/Qwen3-14B-Base
+---
+
+# Qwen3-14B
+<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
+    <img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
+</a>
+
+## Qwen3-14B-Instruct Highlights
+
+OpenPipe/Qwen3-14B-Instruct is a finetune friendly instruct variant of Qwen3-14B. Qwen3 release does not include a 14B Instruct (non-thinking) model, this fork introduces an updated chat template that makes Qwen3-14B non-thinking by default and be highly compatible with OpenPipe and other finetuning frameworks.
+
+The default Qwen3 chat template does not render `<think></think>` tags on the previous assistant message, which can lead to inconsistencies between training and generation. This version resolves that issue by adding `<think></think>` tags to all assistant prompts and generation templates to ensure message format consistency during both training and inference.
+
+The model retains the strong general capabilities of Qwen3-14B while providing a more finetuning friendly chat template.
+
+## Model Overview
+
+**Qwen3-14B** has the following features:
+- Type: Causal Language Models
+- Training Stage: Pretraining & Post-training
+- Number of Parameters: 14.8B
+- Number of Paramaters (Non-Embedding): 13.2B
+- Number of Layers: 40
+- Number of Attention Heads (GQA): 40 for Q and 8 for KV
+- Context Length: 32,768 natively and [131,072 tokens with YaRN](#processing-long-texts). 
+
+For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our [blog](https://qwenlm.github.io/blog/qwen3/), [GitHub](https://github.com/QwenLM/Qwen3), and [Documentation](https://qwen.readthedocs.io/en/latest/).