Full fine-tuning recipe: LoRA on Qwen 2.5 32B via DeepSpeed, targeting 4x A100 40GB, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Qwen 2.5-Coder 7B via Hugging Face TRL, targeting 4x A100 40GB, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Gemma 2 27B via Megatron-LM, targeting 8x H100, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Phi-3.5-mini via FSDP, targeting 8x H100, with data mix and eval plan.
Full fine-tuning recipe: LoRA on DeepSeek-V3 base via LLaMA-Factory, targeting 8x H100, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Mixtral 8x7B via Axolotl, targeting single RTX 4090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: LoRA on Yi 1.5 34B via LitGPT, targeting single RTX 4090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: LoRA on Llama 3.3 70B via LLaMA-Factory, targeting single RTX 3090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: LoRA on Llama 3.1 70B via Axolotl, targeting single RTX 3090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: LoRA on Mistral Small 3 via LitGPT, targeting single RTX 3090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: LoRA on Mistral Nemo 12B via torchtune, targeting 2x RTX 4090, with data mix and eval plan.
Full fine-tuning recipe: LoRA on Mistral Nemo 12B via Megatron-LM, targeting single A100 80GB, with data mix and eval plan.