* Fix: Higher vram usage for mistral and sample_packing * chore: update comment * chore: lint
Mistral 7B is a language model with a total of 7.3 billion parameters, showcasing a notable performance across a variety of benchmarks.
Fine Tune:
accelerate launch -m axolotl.cli.train examples/mistral/config.yml
If you run into CUDA OOM, use deepspeed with config zero2.json:
accelerate launch -m axolotl.cli.train examples/mistral/config.yml --deepspeed deepspeed/zero2.json