docs(readme): add minimax and glm in supported models

README.md

@@ -9,7 +9,7 @@
 [![open issues](https://img.shields.io/github/issues-raw/GradientHQ/parallax)](https://github.com/GradientHQ/parallax/issues)
 
 | [**Gradient**](https://gradient.network)
-| [**Blog**](https://gradient.network/blog/parallax-world-inference-engine)
+| [**Blog**](https://gradient.network/blog/parallax-the-sovereign-ai-os)
 | [**X(Twitter)**](https://x.com/Gradient_HQ)
 | [**Discord**](https://discord.gg/parallax)
 | [**Arxiv**](https://arxiv.org/pdf/2509.26182v1)
@@ -295,7 +295,9 @@ For Windows, simply go to Control Panel → Programs → Uninstall a program, fi
 
 |              | Provider     | HuggingFace Collection  |  Blog  | Description |
 |:-------------|:-------------|:----------------------------:|:----------------------------:|:----------------------------|
-|DeepSeek       | Deepseek    | [DeepSeek-V3.1](https://huggingface.co/collections/deepseek-ai/deepseek-v31) <br>[DeepSeek-R1](https://huggingface.co/collections/deepseek-ai/deepseek-r1) <br>[DeepSeek-V3](https://huggingface.co/collections/deepseek-ai/deepseek-v3) <br>[DeepSeek-V2](https://huggingface.co/collections/deepseek-ai/deepseek-v2) | [DeepSeek V3.1: The New Frontier in Artificial Intelligence](https://deepseek.ai/blog/deepseek-v31) | "DeepSeek" is an advanced large language model series from Deepseek AI, offering multiple generations such as DeepSeek-V3.1, DeepSeek-R1, DeepSeek-V2, and DeepSeek-V3. These models are designed for powerful natural language understanding and generation, with various sizes and capabilities for research and production use. |
+|DeepSeek      | Deepseek     | [DeepSeek-V3.1](https://huggingface.co/collections/deepseek-ai/deepseek-v31) <br>[DeepSeek-R1](https://huggingface.co/collections/deepseek-ai/deepseek-r1) <br>[DeepSeek-V3](https://huggingface.co/collections/deepseek-ai/deepseek-v3) <br>[DeepSeek-V2](https://huggingface.co/collections/deepseek-ai/deepseek-v2) | [DeepSeek V3.1: The New Frontier in Artificial Intelligence](https://deepseek.ai/blog/deepseek-v31) | "DeepSeek" is an advanced large language model series from Deepseek AI, offering multiple generations such as DeepSeek-V3.1, DeepSeek-R1, DeepSeek-V2, and DeepSeek-V3. These models are designed for powerful natural language understanding and generation, with various sizes and capabilities for research and production use. |
+|MiniMax-M2    | MiniMax AI  | [MiniMax-M2](https://huggingface.co/MiniMaxAI/MiniMax-M2) | [MiniMax M2 & Agent: Ingenious in Simplicity](https://www.minimax.io/news/minimax-m2) | MiniMax-M2 is a compact, fast, and cost-effective MoE model (230B parameters, 10B active) built for advanced coding and agentic workflows. It offers state-of-the-art intelligence and coding abilities, delivering efficient, reliable tool use and strong multi-step reasoning for developers and agents, with high throughput and low latency for easy deployment. |
+|GLM-4.6       | Z AI | [GLM-4.6](https://huggingface.co/zai-org/GLM-4.6) | [GLM-4.6: Advanced Agentic, Reasoning and Coding Capabilities](https://z.ai/blog/glm-4.6) | GLM-4.6 improves upon GLM-4.5 with a longer 200K token context window, stronger coding and reasoning performance, enhanced tool-use and agent integration, and refined writing quality. Outperforms previous versions and is highly competitive with leading open-source models across coding, reasoning, and agent benchmarks. |
 |Kimi-K2       | Moonshot AI  | [Kimi-K2](https://huggingface.co/collections/moonshotai/kimi-k2-6871243b990f2af5ba60617d) | [Kimi K2: Open Agentic Intelligence](https://moonshotai.github.io/Kimi-K2/) | "Kimi-K2" is Moonshot AI's Kimi-K2 model family, including Kimi-K2-Instruct and Kimi-K2-Instruct-0905. The models are designed for agentic intelligence and available in different versions and parameter sizes. |
 |Qwen          | Qwen         | [Qwen3-Next](https://huggingface.co/collections/Qwen/qwen3-next-68c25fd6838e585db8eeea9d) <br>[Qwen3](https://huggingface.co/collections/Qwen/qwen3-67dd247413f0e2e4f653967f) <br>[Qwen2.5](https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e)| [Qwen3-Next: Towards Ultimate Training & Inference Efficiency](https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list) | The Qwen series is a family of large language models developed by Alibaba's Qwen team. It includes multiple generations such as Qwen2.5, Qwen3, and Qwen3-Next, which improve upon model architecture, efficiency, and capabilities. The models are available in various sizes and instruction-tuned versions, with support for cutting-edge features like long context and quantization. Suitable for a wide range of language tasks and open-source use cases. |
 |gpt-oss       | OpenAI       | [gpt-oss](https://huggingface.co/collections/openai/gpt-oss-68911959590a1634ba11c7a4) | [Introducing gpt-oss](https://openai.com/index/introducing-gpt-oss/) | "gpt-oss" refers to OpenAI's open-source GPT models, including gpt-oss-20b and gpt-oss-120b. The number (e.g., 20b, 120b) indicates the parameter count (20 billion, 120 billion).  |

src/common/version_check.py

@@ -1,13 +1,12 @@
+import importlib.metadata
 import json
 import urllib.request
 
-import pkg_resources
-
 
 def get_current_version():
     version = "unknown"
     try:
-        version = pkg_resources.get_distribution("parallax").version
+        version = importlib.metadata.version("parallax")
     except Exception:
         try:
             import parallax