prithivMLmods
/

Galactic-Qwen-14B-Exp2

@@ -123,14 +123,12 @@ model-index:
       name: Open LLM Leaderboard
 ---
-![zzzzzzzz.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/BMUFGlv1AHfPrVZ0HBTFJ.png)
 # **Galactic-Qwen-14B-Exp2**
 Galactic-Qwen-14B-Exp2 is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. This model is optimized for general-purpose reasoning and answering, excelling in contextual understanding, logical deduction, and multi-step problem-solving. It has been fine-tuned using a long chain-of-thought reasoning model and specialized datasets to improve comprehension, structured responses, and conversational intelligence.
-![Model Performance Metrics - visual selection(1).png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/BOvTd5yP9LxLo0UJU3pgy.png)
 ## **Key Improvements**
 1. **Enhanced General Knowledge**: The model provides broad knowledge across various domains, improving capabilities in answering questions accurately and generating coherent responses.
 2. **Improved Instruction Following**: Significant advancements in understanding and following complex instructions, generating structured responses, and maintaining coherence over extended interactions.
@@ -138,6 +136,8 @@ Galactic-Qwen-14B-Exp2 is based on the Qwen 2.5 14B modality architecture, desig
 4. **Long-Context Support**: Supports up to 128K tokens for input context and can generate up to 8K tokens in a single output, making it ideal for detailed responses.
 5. **Multilingual Proficiency**: Supports over 29 languages, including English, Chinese, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
 ## **Quickstart with transformers**
 Here is a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and generate content:

       name: Open LLM Leaderboard
 ---
+![Exp2.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/jq-on7WPMQC0ynvgs-kXB.png)
 # **Galactic-Qwen-14B-Exp2**
 Galactic-Qwen-14B-Exp2 is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. This model is optimized for general-purpose reasoning and answering, excelling in contextual understanding, logical deduction, and multi-step problem-solving. It has been fine-tuned using a long chain-of-thought reasoning model and specialized datasets to improve comprehension, structured responses, and conversational intelligence.
 ## **Key Improvements**
 1. **Enhanced General Knowledge**: The model provides broad knowledge across various domains, improving capabilities in answering questions accurately and generating coherent responses.
 2. **Improved Instruction Following**: Significant advancements in understanding and following complex instructions, generating structured responses, and maintaining coherence over extended interactions.
 4. **Long-Context Support**: Supports up to 128K tokens for input context and can generate up to 8K tokens in a single output, making it ideal for detailed responses.
 5. **Multilingual Proficiency**: Supports over 29 languages, including English, Chinese, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
+![Performance Metrics Diagram - visual selection.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/qrW-WJjBJyJ3Mknqb61Xy.png)
 ## **Quickstart with transformers**
 Here is a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and generate content: