unsloth
FreeWeb UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
#fine-tuning#llm-training#lora#qlora#gpu-efficient#open-source#huggingface#model-training#rlhf#quantization
About unsloth
Web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
Key Features
2x faster training via hand-derived backward passes replacing PyTorch autograd
80% less memory through custom 4-bit quantization and gradient checkpointing kernels
Zero quality degradation — matches HuggingFace trainer results on benchmarks
Supports LoRA, QLoRA, and full fine-tuning out of the box
DPO, ORPO, and RLHF training for preference alignment
One-click Colab notebooks for popular models and tasks
Exports to GGUF, Ollama, vLLM, and HuggingFace formats
Works with Llama 3, Mistral, Qwen 2.5, Gemma 2, Phi-3, and 50+ model families
Runs on a single T4 GPU — no A100 or multi-GPU setup required
Integrates directly with HuggingFace datasets and model hub
Best For
ML engineers: Fine-tune a chat model on domain-specific conversationsDevelopers: Adapt a base model for code generation in a specific languageAI researchers: Preference alignment with DPO or RLHF on human feedback dataStartups: Train a small specialized model on limited hardware budgetStudents: Rapid prototyping of fine-tuned models for proof-of-concept demos
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