docs(readme): add deepseek in support models

README.md

@@ -266,9 +266,8 @@ For Windows, simply go to Control Panel → Programs → Uninstall a program, fi
 
 |              | Provider     | HuggingFace Collection  |  Blog  | Description |
 |:-------------|:-------------|:----------------------------:|:----------------------------:|:----------------------------|
-|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).  |
+|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. |
 |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. |
-|Qwen3-Next    | Qwen         | [Qwen3-Next](https://huggingface.co/collections/Qwen/qwen3-next-68c25fd6838e585db8eeea9d) | [Qwen3-Next: Towards Ultimate Training & Inference Efficiency](https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list) | "Qwen3-Next" is the latest generation of Qwen models by Alibaba/Qwen, with improved efficiency and performance. Includes models like Qwen3-Next-80B-A3B-Instruct (80B parameters, instruction-tuned) and Qwen3-Next-80B-A3B-Thinking (80B, reasoning enhanced). Variants include FP8 quantized and instruction-tuned models. |
-|Qwen3         | Qwen         | [Qwen3](https://huggingface.co/collections/Qwen/qwen3-67dd247413f0e2e4f653967f) | [Qwen3: Think Deeper, Act Faster](https://qwen.ai/blog?id=1e3fa5c2d4662af2855586055ad037ed9e555125&from=research.research-list) | "Qwen3" is the third generation of Qwen LLMs, available in multiple sizes (e.g., 0.6B, 1.7B, 4B, 8B, 14B, 30B, 32B, 235B). Variants include FP8 quantized and instruction-tuned models. |
-|Qwen2.5       | Qwen         | [Qwen2.5](https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e) | [Qwen2.5: A Party of Foundation Models!](https://qwen.ai/blog?id=6da44b4d3b48c53f5719bab9cc18b732a7065647&from=research.research-list) | "Qwen2.5" is an earlier generation of Qwen models, with sizes like 0.5B, 1.5B, 3B, 7B, 14B, 32B, 72B. These models are available in base and instruction-tuned versions. |
+|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).  |
 |Meta Llama 3  | Meta         | [Meta Llama 3](https://huggingface.co/collections/meta-llama/meta-llama-3-66214712577ca38149ebb2b6) <br>[Llama 3.1](https://huggingface.co/collections/meta-llama/llama-31-669fc079a0c406a149a5738f) <br>[Llama 3.2](https://huggingface.co/collections/meta-llama/llama-32-66f448ffc8c32f949b04c8cf) <br>[Llama 3.3](https://huggingface.co/collections/meta-llama/llama-33-67531d5c405ec5d08a852000) | [Introducing Meta Llama 3: The most capable openly available LLM to date](https://ai.meta.com/blog/meta-llama-3/) | "Meta Llama 3" is Meta's third-generation Llama model, available in sizes such as 8B and 70B parameters. Includes instruction-tuned and quantized (e.g., FP8) variants. |

src/backend/server/static_config.py

@@ -14,7 +14,6 @@
     "Qwen/Qwen3-Next-80B-A3B-Instruct-FP8",
     "Qwen/Qwen3-Next-80B-A3B-Thinking",
     "Qwen/Qwen3-Next-80B-A3B-Thinking-FP8",
-    "Qwen/Qwen3-0.6B",
     "Qwen/Qwen3-0.6B-FP8",
     "Qwen/Qwen3-1.7B",
     "Qwen/Qwen3-1.7B-FP8",
@@ -46,7 +45,10 @@
     "nvidia/Llama-3.3-70B-Instruct-FP8",
     "nvidia/Llama-3.1-70B-Instruct-FP8",
     "nvidia/Llama-3.1-8B-Instruct-FP8",
-    "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct",
+    "deepseek-ai/DeepSeek-V3.1",
+    "deepseek-ai/DeepSeek-R1",
+    "deepseek-ai/DeepSeek-V3",
+    "deepseek-ai/DeepSeek-V2",
 ]
 
 NODE_JOIN_COMMAND_LOCAL_NETWORK = """parallax join"""