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Introducing Mistral FineTune: The Ultimate Guide
Deep Dive into Data Preparation for Fine Tuning
Setting Up Your Fine Tuning Environment
Data Structuring and Validation for Optimal Training
Configuring and Running Your Fine Tuning Job
Evaluating Training Results and Model Inference
Final Thoughts and Recommendations
Mistol 8X 7B model can be run locally or on AWS with 8 Nvidia RTX 390s or 490s, requiring about 100 GB of VRAM.
️ Early benchmarks show Mistol 8X 7B outperforming Code Llama 34B, approaching GPT 3.5 Turbo in certain areas.
Different approaches to running Mistol 8X 7B are showcased, with one achieving 50% on human eval benchmark.
Model compression potential is highlighted, suggesting the ability to run Mistol 8X 7B on an M1 Mac with different quantization.
Mistol 8X 7B demonstrates strong coding ability in concise answers, potentially surpassing Mistol 7B in coding tasks.