Full fine-tuning recipe: LoRA on Qwen 2.5 32B via torchtune, targeting 2x RTX 4090, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Gemma 2 9B via Unsloth, targeting 2x RTX 4090, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Gemma 2 27B via OpenRLHF, targeting AWS g5.12xlarge, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Phi-3.5-mini via DeepSpeed, targeting AWS g5.12xlarge, with data mix and eval plan.
Full fine-tuning recipe: LoRA on DeepSeek-V3 base via Hugging Face TRL, targeting AWS p4d.24xlarge, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Mixtral 8x7B via OpenRLHF, targeting AWS p4d.24xlarge, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Yi 1.5 34B via DeepSpeed, targeting AWS p4d.24xlarge, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Llama 3.3 70B via Hugging Face TRL, targeting Lambda Labs 8xH100, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Llama 3.1 70B via Megatron-LM, targeting Lambda Labs 8xH100, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Mistral Small 3 via FSDP, targeting single A100 80GB, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Qwen 2.5 7B via LLaMA-Factory, targeting single A100 80GB, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Qwen 2.5 32B via Megatron-LM, targeting single A100 80GB, with data mix and eval plan.