Files
axolotl/examples/mimo/mimo-7b-qlora.yaml
NanoCode012 4f5e8a328a Feat: add MiMo and Plano (#3332) [skip-ci]
* feat: add xiaomi's mimo 7b

* fix: pin revision

* fix: update trinity docs and pin revision

* fix: wrong config name

* feat: add vram usage

* feat: add plano

* feat: update plano vram usage

* chore: comments
2025-12-25 18:09:03 +07:00

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YAML

base_model: XiaomiMiMo/MiMo-7B-RL
trust_remote_code: true
revision_of_model: 6299b5a
# Automatically upload checkpoint and final model to HF
# hub_model_id: username/custom_model_name
# CCE - N/A as of now
# plugins:
# - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
load_in_8bit: false
load_in_4bit: true
datasets:
- path: fozziethebeat/alpaca_messages_2k_test
type: chat_template
dataset_prepared_path: last_run_prepared
val_set_size: 0.1
output_dir: ./outputs/lora-out
adapter: qlora
lora_model_dir:
sequence_len: 2048
sample_packing: true
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002
bf16: auto
tf32: false
gradient_checkpointing: true
resume_from_checkpoint:
logging_steps: 1
flash_attention: true
warmup_ratio: 0.1
evals_per_epoch: 1
saves_per_epoch: 1
# save_first_step: true # uncomment this to validate checkpoint saving works with your config