Full fine-tuning recipe: KTO on Yi 1.5 34B via Megatron-LM, targeting 2x A100 80GB, with data mix and eval plan.
Full fine-tuning recipe: KTO on Llama 3.1 8B via DeepSpeed, targeting 2x A100 80GB, with data mix and eval plan.
Full fine-tuning recipe: KTO on Llama 3.1 70B via Hugging Face TRL, targeting 4x A100 40GB, with data mix and eval plan.
Full fine-tuning recipe: KTO on Mistral Nemo 12B via Megatron-LM, targeting 4x A100 40GB, with data mix and eval plan.
Full fine-tuning recipe: KTO on Qwen 2.5 7B via FSDP, targeting 4x A100 40GB, with data mix and eval plan.
Full fine-tuning recipe: KTO on Qwen 2.5-Coder 7B via LLaMA-Factory, targeting 8x H100, with data mix and eval plan.
Full fine-tuning recipe: KTO on Gemma 2 9B via Axolotl, targeting 8x H100, with data mix and eval plan.
Full fine-tuning recipe: KTO on Phi-3.5-mini via LitGPT, targeting single RTX 4090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: KTO on Phi-4 via LLaMA-Factory, targeting single RTX 4090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: KTO on Mixtral 8x7B via Axolotl, targeting single RTX 3090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: KTO on Mixtral 8x22B via LitGPT, targeting single RTX 3090 (24GB), with data mix and eval plan.
Full fine-tuning recipe: KTO on Yi 1.5 34B via torchtune, targeting single RTX 3090 (24GB), with data mix and eval plan.