added

New Instruction Synthesizer API for generating structured datasets

Unlock the Future of Language Models with Our Revolutionary Instruction Synthesizer API! πŸš€

Boosting LLM Performance with Unsloth and SDPA Integration πŸš€

We're thrilled to unveil two major upgrades to MonsterTuner, designed to supercharge your LLM fine-tuning: Unsloth and Scaled Dot-Product Attention (SDPA). These innovations bring significant enhancements in performance, efficiency, and context length.

deprecated

TinyLlama LLM API Deprecation Notice

TinyLlama/TinyLlama-1.1B-Chat-v1.0 deprecated from July 3rd, 2024

added

Gemma 2 9B Model Implemented!

We are pleased to announce the implementation of the latest model: google/gemma-2-9b-it.

improved

Txt2Img API Model Upgrade

We’ve transitioned from Stable Diffusion v1.5 to the Pix-Art-Sigma model.

improved

Photomaker API Optimization

We've significantly improved our Photomaker API, achieving a remarkable 45% increase in speed compared to the previous version and cutting serving costs by nearly 50%. These enhancements greatly enhance the efficiency and affordability of our services, providing users with faster responses and lower expenses.

improved

SDXL API Optimization

We have successfully optimized our SDXL API, achieving a remarkable 45% increase in speed compared to our previous API and nearly 50% reduction in serving costs. These improvements significantly elevate the efficiency and affordability of our services, benefiting users with super-faster responses and lower expenses.

added

New Gen LLM APIs Launch

We’re thrilled to share a major upgrade to our text generation LLM APIs! ⚑️

added

MonsterGPT- One Command for All Your Fine-tuning and Deployment Needs! πŸš€

Introducing MonsterGPT, the ultimate blend of fine-tuning and deployment in one place! πŸŽ‰

added

Introducing No-Code SDXL FineTuning by MonsterTuner!

Major Update: Streamline your model fine-tuning process with our new No-Code SDXL FineTuner. Fine-tuning your model usually requires adjusting a multitude of parameters, but we've simplified it down to just three straightforward steps!