| --- |
| license: apache-2.0 |
| language: |
| - en |
| base_model: |
| - Qwen/Qwen3-32B |
| pipeline_tag: text-generation |
| --- |
| # MindLink |
|
|
| [English](README.md) | [中文](README_CN.md) |
|
|
| ## Model Description |
|
|
| We introduce **MindLink**, a new family of large language models developed by **Kunlun Inc**. Built on **Qwen**, these models incorporate our latest advances in post-training techniques. MindLink demonstrates strong performance across various common benchmarks and is widely applicable in diverse AI scenarios. We welcome feedback to help us continuously optimize and improve our models. |
|
|
| ### 🚀 Model Downloads |
|
|
| <div align="center"> |
|
|
| | **🤖 Model** | **📏 Context Length** | **⬇️ Download** | |
| | :---: | :---: | :---: | |
| | **MindLink 32B** | `128K` | [🤗 **HuggingFace**](https://huggingface.co/Skywork/MindLink-32B-0801) | |
| | **MindLink 72B** | `128K` | [🤗 **HuggingFace**](https://huggingface.co/Skywork/MindLink-72B-0801) | |
|
|
| </div> |
|
|
|
|
|
|
| ### 📖 Technical Report |
| Our training methodology and evaluation: [MindLink](https://github.com/SkyworkAI/MindLink/blob/main/mindlink.pdf) |
|
|
| --- |
|
|
| ## Highlights |
|
|
| * **Plan-based Reasoning**: Without the "think" tag, MindLink achieves competitive performance with leading proprietary models across a wide range of reasoning and general tasks. It significantly reduces inference cost, and improves multi-turn capabilities. |
| * **Mathematical Framework**: It analyzes the effectiveness of both **Chain-of-Thought (CoT)** and **Plan-based Reasoning**. |
| * **Adaptive Reasoning**: it automatically adapts its reasoning strategy based on task complexity: complex tasks produce detailed reasoning traces, while simpler tasks yield concise outputs. |
|
|
| --- |
|
|
| ## Quickstart |
|
|
| Here provides a code snippet with apply_chat_template to show you how to load the tokenizer and model and how to generate contents. |
|
|
| > ⚠️ Please make sure you have installed `transformers>=4.51.0`. Lower versions are not supported. |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model_name = "Skywork/MindLink-32B-0801" |
| |
| model = AutoModelForCausalLM.from_pretrained( |
| model_name, |
| torch_dtype="auto", |
| device_map="auto" |
| ) |
| tokenizer = AutoTokenizer.from_pretrained(model_name) |
| |
| prompt = "What is the capital of China?" |
| messages = [ |
| {"role": "user", "content": prompt} |
| ] |
| text = tokenizer.apply_chat_template( |
| messages, |
| tokenize=False, |
| add_generation_prompt=True |
| ) |
| model_inputs = tokenizer([text], return_tensors="pt").to(model.device) |
| |
| generated_ids = model.generate( |
| **model_inputs, |
| max_new_tokens=512 |
| ) |
| generated_ids = [ |
| output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) |
| ] |
| |
| response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] |
| ``` |
|
|
| For deployment, you can use sglang>=0.4.6.post1 to create an OpenAI-compatible API endpoint: |
| - SGLang: |
| ```shell |
| python -m sglang.launch_server --model-path Skywork/MindLink-32B-0801 |
| ``` |
| |
| --- |
|
|
| ## API Access |
|
|
| 📢 We provide developers with a **one-month free trial** of our API for exploring and testing our models. To request access to an **Open WebUI account** (https://sd1svahsfo0m61h76e190.apigateway-cn-beijing.volceapi.com), please contact us at: **[mindlink@skywork.ai](mailto:mindlink@skywork.ai)** |
|
|
| ⚠️ Note: If you encounter inconsistent responses during inference, we recommend clearing the session context (history) and retrying. |
|
|
| ### 🔧 Usage Instructions |
|
|
| Our Chat API supports OpenAI's format. Simply include your API Key with HTTP POST requests. |
|
|
| #### ✅ Sample Request using `curl`: |
|
|
| ```bash |
| curl -X POST https://sd2690u280c6ft26qcdi0.apigateway-cn-beijing.volceapi.com/v1/chat/completions \ |
| -H "Authorization: Bearer nc6Dt7DrLJNzLELiqOR1bogO5Oh1qHtO" \ |
| -H "Content-Type: application/json" \ |
| -d '{ |
| "model": "Mind_Link_beta_32B", |
| "messages": [ |
| {"role": "user", "content": "What is the capital of China?"} |
| ], |
| "temperature": 0.7, |
| "max_tokens": 128, |
| "stream": false |
| }' |
| ``` |
|
|
| #### 🐍 Sample Request using Python: |
|
|
| ```python |
| import requests |
| |
| API_KEY = "nc6Dt7DrLJNzLELiqOR1bogO5Oh1qHtO" |
| API_URL = "https://sd2690u280c6ft26qcdi0.apigateway-cn-beijing.volceapi.com/v1/chat/completions" |
| |
| headers = { |
| "Authorization": f"Bearer {API_KEY}", |
| "Content-Type": "application/json" |
| } |
| |
| payload = { |
| "model": "Mind_Link_beta_32B", |
| "messages": [ |
| {"role": "user", "content": "What is the capital of China?"} |
| ], |
| "temperature": 0.7, |
| "max_tokens": 128, |
| "stream": False |
| } |
| |
| response = requests.post(API_URL, headers=headers, json=payload) |
| |
| if response.status_code == 200: |
| reply = response.json() |
| print("MindLink Response:") |
| print(reply["choices"][0]["message"]["content"]) |
| else: |
| print(f"Error {response.status_code}: {response.text}") |
| ``` |
|
|
| --- |
|
|
| ### 🌐 API Interface Details |
|
|
| * **Endpoint**: `https://sd2690u280c6ft26qcdi0.apigateway-cn-beijing.volceapi.com/v1/chat/completions` |
| * **Authentication**: Use your API key via `Authorization: Bearer <api_key>` |
| * **Request Format**: Compatible with OpenAI's Chat Completion API |
| * **Supported Fields**: `model`, `messages`, `temperature`, `top_p`, `max_tokens`, `stream`, `stop`, etc. |
| * **Model Identifiers**: Use either `"Mind_Link_beta_32B"` or `"Mind_Link_beta_72B"` |
| * **Public API Key**: We provide the following public API key: `"nc6Dt7DrLJNzLELiqOR1bogO5Oh1qHtO"` (requests via this key enter a queue and have limited request rates; contact us for unlimited access). |
|
|
|
|
| --- |
|
|
| ## Evaluation |
|
|
| The results are shown below: |
|  |
|
|
| --- |
|
|
| ## License and Usage Information |
|
|
| ### Model License and Terms of Use |
|
|
| #### 1. Core License |
|
|
| This model is licensed under the **Apache License 2.0**, granting users the following rights: |
|
|
| ✅ Commercial deployment |
|
|
| ✅ Source code modification |
|
|
| ✅ Patent authorization |
|
|
| ✅ Closed-source derivatives |
|
|
| ⚠️ Prohibition on using model names/logos for promotion without written authorization |
|
|
| ⚠️ No warranties provided |
|
|
| #### 2. Inheritance Declaration |
|
|
| This model is based on improvements from **Qwen** (Apache 2.0 License). You must: |
|
|
| * Retain original Qwen copyright notices in derivative works. |
| * Clearly document changes made in modification notes. |
| * Adhere to any additional usage restrictions imposed by Qwen. |
|
|
| If you have any questions, please raise an issue or contact us at mindlink@skywork.ai. |
|
|
|
|
|
|
| --- |
