Create README.md

README.md

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+---
+datasets:
+- agentlans/crash-course
+base_model:
+- FuseAI/FuseChat-Gemma-2-9B-Instruct
+- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
+---
+# Gemma2-9B-AdvancedFuse
+
+Gemma2-9B-AdvancedFuse is an experimental, open-source large language model (LLM) with 9 billion parameters.
+It aims to combine the strengths of [FuseAI/FuseChat-Gemma-2-9B-Instruct](https://huggingface.co/fuseai/fusechat-gemma-2-9b-instruct) and
+[jsgreenawalt/gemma-2-9B-it-advanced-v2.1](https://huggingface.co/jsgreenawalt/gemma-2-9b-it-advanced-v2.1) through additive linear merging,
+further fine-tuned on a 12K row dataset from [agentlans/crash-course](https://huggingface.co/datasets/agentlans/crash-course) 
+for enhanced chat and instruct performance, including math and multilingual prompts.
+
+## Capabilities
+- **Text Generation:** Generates coherent emails, summaries, and notes. This model card was primarily generated by the model itself.
+- **Instruction Following:** Demonstrates strong ability to understand and execute instructions in conversational settings.
+- **Roleplaying:** Can engage in third-person narrative roleplay but may exhibit common GPT expressions or clichés.
+
+### Limitations
+As with most large language models:
+- **Factual Errors:** May generate incorrect or outdated information due to data biases.
+- **Mathematical Operations:** Struggles with mathematical calculations requiring symbolic reasoning despite its finetuning data.
+- **Handling Unsafe Input:** May generate unsafe, biased, or malicious content if provided inappropriate input. Careful prompt engineering is recommended.
+
+### Model Usage Guidelines
+1. Use clear and specific instructions for optimal performance.
+2. Verify generated outputs for factual accuracy when critical information is involved.
+3. Avoid providing inputs that could lead to harmful or unethical responses.
+4. Consider using human review, especially in high-stakes applications.