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 We value engineers who are proactive, independent and who ship features and ideas quickly - if stuff breask, that's fine with us! On our criteria:
 
 1. Debug, solve issues and make 3 PRs that get added into Unsloth. These must be urgent bugs / issues.
-2. (OR) Create a high quality PR on 1 item below:
+2. (OR) Create a high quality PR on 1 item below (only 1 needed):
   * Somewhat optimized QLoRA for FLUX / stable diffusion models. Diffusers just added 4bit QLoRA support - make this faster. Provide a Colab notebook tutorial on how to use it. Must fit in 1 x 16GB Tesla T4.
   * Unoptimized Apple Silicon / Metal support LoRA - MLX, Core ML Tools etc support.
-  * Utilies to export Unsloth finetunes to vLLM & Ollama - LoRA adapters only. Provide a standalone serving interface to vLLM
+  * Utilies to export Unsloth finetunes to vLLM, SGLang & Ollama - LoRA adapters only. Provide a standalone serving interface to vLLM, SGLang
   * Add float8 + QLoRA support via Torch AO into Unsloth. Show training losses match. Reproducible Colab with L4 GPU. Do not use `use torch.compile`.
   * Bitsandbytes 4bit QLoRA dequant Triton kernel - must be faster than CUDA version.
   * Add TPU & AMD support into Unsloth. TPU - Colab & Kaggle notebooks. AMD - Runpod equivalent.
+  * Use torch AO and add MXFP4 support in preparation for Blackwell.
+  * Add optimized Deepseek finetuning support.
 
 For for details, email me, or ask me questions on Discord!
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