Fine-Tune Qwen3-30B MoE on One GPU With Unsloth
A year ago, the idea of training a 30-billion-parameter model on hardware you can rent for a few dollars an...
GRPO Fine-Tuning: Train Reasoning Models Like DeepSeek R1
If you have watched a model like DeepSeek R1 work through a math problem step by step and wondered how...
Axolotl vs Unsloth vs TorchTune: Fine-Tuning Showdown
If you have decided to fine-tune an open-weight model, the next question is which framework to run it through. The Axolotl...
Unsloth: Fine-Tune LLMs 12x Faster on a Single GPU
If you have a model that keeps getting the same domain-specific task wrong and prompting isn’t fixing it, fine-tuning is...
LLM Quantization: GGUF, AWQ, GPTQ, and When to Use
If you have ever tried to run a capable open model on your own hardware, you have hit the wall:...
Speculative Decoding: 2-4x Faster Local LLM Inference
If you run language models on your own hardware, you already know the bottleneck: tokens come out one at a...
70B Models on a Mac Mini: A $1,600 Local LLM Setup
If you want a private, always-on machine that can run a 70-billion-parameter model without a noisy GPU rig or a...
Llama.cpp: Running Quantized LLMs on CPU-Only Machines
If you want to run a capable language model on a laptop or a cheap cloud box with no GPU,...
vLLM: Fast, Self-Hosted LLM Serving With GPUs
If you have outgrown hosted APIs and want to run open models like Llama or Qwen on your own hardware,...