68b227a7d8
* mixtral multipack * use mixtral model * sample yml * calculate cu_seqlens properly * use updated flash ettention setting * attn var checks * force use of flash attention 2 for packing * lint * disable future fix for now * update support table
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