[WIP] IN MY LM trainer add more features fully simar to unsloth https://github.com/unslothai/unsloth see full repo codes and make lm trainer better based on that Finetune Gemma 3n, Qwen3, Llama 4, Phi-4 & Mistral 2x faster with 80% less VRAM! ✨ Fi...

[Copilot]

• Analyzed current LLM Trainer codebase structure
• Identified missing Unsloth-like features for enhancement
• Add quantization support (4-bit/8-bit) using bitsandbytes
• Implement LoRA/QLoRA for parameter-efficient fine-tuning
• Add support for latest model architectures (Gemma 3n, Qwen3, Llama 4, Phi-4)
• Integrate TRL (Transformers Reinforcement Learning) support
• Add memory optimization features and gradient checkpointing improvements
• Implement export capabilities (GGUF, Ollama, vLLM formats)
• Add pre-quantized model loading support
• Enhance distributed training capabilities
• Add advanced optimizers (8-bit AdamW)
• Update documentation with new features

Goal: Transform LLM Trainer to match Unsloth's performance and memory efficiency features, focusing on 2x faster training with 80% less VRAM usage.

Created from VS Code via the GitHub Pull Request extension.

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