Update README.md

README.md

@@ -9,25 +9,62 @@ on the App Store.
 
 Refer more information on [Privacy AI Official Site:](https://privacyai.acmeup.com)
 
-## Qwen3 4B Q4
+## Qwen3 4B Instruct 2507
 
-Qwen3 is the latest generation of Qwen series. It is a large language model with 1.7B parameters, optimized for mobile devices. It is capable of running functions on mobile devices and has been trained to follow instructions and generate long texts (32K tokens). It is more resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. It has up to 128K tokens and can generate up to 32K tokens. It supports for over 100 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.  
+Qwen3-4B-Instruct-2507 is the latest 4B parameter model in the Qwen3 series, featuring significant improvements in reasoning, mathematics, science, coding, and tool usage. With 262K context length and strong multilingual support, it excels at instruction following, logical reasoning, and complex problem-solving tasks.  
 
-**Model Intention:** It is 4B of Qwen3 series that is excellent for summary, translation and MCP tool calling  
+**Model Intention:** Latest Qwen3-4B Instruct model with enhanced reasoning, logical thinking, mathematics, science, coding, and tool usage capabilities  
 
-**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen3-4B-IQ4_NL.gguf?download=true](https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen3-4B-IQ4_NL.gguf?download=true)  
+**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen3-4B-Instruct-2507-Q4_0.gguf](https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen3-4B-Instruct-2507-Q4_0.gguf)  
 
-**Model Info URL:** [https://huggingface.co/Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B)  
+**Model Info URL:** [https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507)  
 
 **Model License:** [License Info](https://www.apache.org/licenses/LICENSE-2.0.txt)  
 
-**Model Description:** Qwen3 is the latest generation of Qwen series. It is a large language model with 1.7B parameters, optimized for mobile devices. It is capable of running functions on mobile devices and has been trained to follow instructions and generate long texts (32K tokens). It is more resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. It has up to 128K tokens and can generate up to 32K tokens. It supports for over 100 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.  
+**Model Description:** Qwen3-4B-Instruct-2507 is the latest 4B parameter model in the Qwen3 series, featuring significant improvements in reasoning, mathematics, science, coding, and tool usage. With 262K context length and strong multilingual support, it excels at instruction following, logical reasoning, and complex problem-solving tasks.  
 
 **Developer:** [https://huggingface.co/Qwen](https://huggingface.co/Qwen)  
 
-**File Size:** 2230 MB  
+**File Size:** 2400 MB  
 
-**Context Length:** 1024 tokens  
+**Context Length:** 2048 tokens  
+
+**Prompt Format:** 
+
+```
+
+```
+
+**Template Name:** qwen  
+
+**Add BOS Token:** Yes  
+
+**Add EOS Token:** No  
+
+**Parse Special Tokens:** Yes  
+
+
+---
+
+## Qwen3 4B Thinking 2507
+
+Qwen3-4B-Thinking-2507 is a specialized variant of the Qwen3-4B series with enhanced reasoning capabilities. It features thinking mode enabled by default, providing significantly improved performance on complex reasoning tasks including logical reasoning, mathematics, science, coding, and academic benchmarks with 262K context length.  
+
+**Model Intention:** Advanced reasoning model with thinking mode enabled for complex logical reasoning, mathematics, science, and coding tasks  
+
+**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen3-4B-Thinking-2507-Q4_0.gguf](https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen3-4B-Thinking-2507-Q4_0.gguf)  
+
+**Model Info URL:** [https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507)  
+
+**Model License:** [License Info](https://www.apache.org/licenses/LICENSE-2.0.txt)  
+
+**Model Description:** Qwen3-4B-Thinking-2507 is a specialized variant of the Qwen3-4B series with enhanced reasoning capabilities. It features thinking mode enabled by default, providing significantly improved performance on complex reasoning tasks including logical reasoning, mathematics, science, coding, and academic benchmarks with 262K context length.  
+
+**Developer:** [https://huggingface.co/Qwen](https://huggingface.co/Qwen)  
+
+**File Size:** 2100 MB  
+
+**Context Length:** 2048 tokens  
 
 **Prompt Format:** 
 
@@ -457,4 +494,41 @@ Qwen3 1.7B Uncensored is an unrestricted variant designed for creative writing a
 **Parse Special Tokens:** Yes  
 
 
+---
+
+## Gemma 3 270M
+
+Gemma 3 270M is an ultra-compact transformer model with 268M parameters, designed for efficient deployment on mobile and edge devices. Part of Google's Gemma family, it offers strong performance for its size with 32K context length, multilingual support, and responsible AI design. Ideal for applications requiring fast inference with minimal computational resources while maintaining quality text generation capabilities.  
+
+**Model Intention:** Ultra-compact 270M parameter model optimized for resource-constrained environments with 32K context length  
+
+**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/gemma-3-270m-q4_0.gguf](https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/gemma-3-270m-q4_0.gguf)  
+
+**Model Info URL:** [https://huggingface.co/google/gemma-3-270m](https://huggingface.co/google/gemma-3-270m)  
+
+**Model License:** [License Info](https://ai.google.dev/gemma/terms)  
+
+**Model Description:** Gemma 3 270M is an ultra-compact transformer model with 268M parameters, designed for efficient deployment on mobile and edge devices. Part of Google's Gemma family, it offers strong performance for its size with 32K context length, multilingual support, and responsible AI design. Ideal for applications requiring fast inference with minimal computational resources while maintaining quality text generation capabilities.  
+
+**Developer:** [https://huggingface.co/google](https://huggingface.co/google)  
+
+**File Size:** 160 MB  
+
+**Context Length:** 2048 tokens  
+
+**Prompt Format:** 
+
+```
+
+```
+
+**Template Name:** gemma  
+
+**Add BOS Token:** Yes  
+
+**Add EOS Token:** No  
+
+**Parse Special Tokens:** Yes  
+
+
 ---