ba3dba3e4f
* add kernels for gpt oss models * add support for gpt-oss * typo incorrect package * fix: layout for configs and added wandb/epochs * add gptoss example w offload and set moe leaf for z3 * add support for Mxfp4Config from yaml * update yaml to use official model * fix lora and don't allow triton to go above 3.3.1 * fix lr and tweak vram use * fix range for triton since pinned wasn't compatible with toch 2.6.0 * update cce with gpt oss patches --------- Co-authored-by: NanoCode012 <nano@axolotl.ai>
OpenAI's GPT-OSS
GPT-OSS is a 20 billion parameter MoE model trained by OpenAI, released in August 2025.
- 20B Full Parameter SFT can be trained on 8x48GB GPUs (peak reserved memory @ ~36GiB/GPU) - YAML
- 20B LoRA SFT (all linear layers, and experts in last two layers) can be trained a single GPU (peak reserved memory @ ~47GiB)
- removing the experts from
lora_target_parameterswill allow the model to fit around ~44GiB of VRAM - YAML
- removing the experts from
- 20B Full Parameter SFT with FSDP2 offloading can be trained on 2x24GB GPUs (peak reserved memory @ ~21GiB/GPU) - YAML