Files
axolotl/examples/pixtral/lora-12b.yml
NanoCode012 dfba881e99 Feat: add gemma3n support (#2852)
* feat: add gemma3n cce

* feat: add sample config

* feat: add gemma3n multimodal mode

* feat: add audio example

* feat: support audio and return pixel values in collator

* feat: support unmask only assistant region (gemma3n for now)

* feat(doc): add notes for audio loading

* feat: add audio support for gemma3n

* feat: update examples

* feat: add gemma3n to the docs

* fix: add link at top

* feat(doc): clarify additional requirements

* fix: mllama missing aspect ratio

* fix: mllama need attention fixes for fa2

* Partially Revert "fix: mllama need attention fixes for fa2"

This reverts commit a0bfdd1777.

* fix: disable FA2 for mllama in vision mode

* feat: update configs to use proper attention

* fix: support other vision features

* feat(doc): clarify requirements for gemma3n
2025-07-22 16:52:15 +07:00

59 lines
1.2 KiB
YAML

base_model: mistral-community/pixtral-12b
processor_type: AutoProcessor
# these 3 lines are needed for now to handle vision chat templates w images
skip_prepare_dataset: true
remove_unused_columns: false
sample_packing: false
chat_template: pixtral
datasets:
- path: HuggingFaceH4/llava-instruct-mix-vsft
type: chat_template
split: train[:1%]
dataset_prepared_path:
val_set_size: 0.0
output_dir: ./outputs/out
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules: 'model.language_model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 1
num_epochs: 1
optimizer: muon
lr_scheduler: cosine
learning_rate: 0.0002
bf16: true
fp16:
tf32: true
gradient_checkpointing: true
logging_steps: 1
# flash_attention: # PixtralVisionModel does not support Flash Attention 2.0 yet
sdp_attention: true
warmup_ratio: 0.1
evals_per_epoch: 1
saves_per_epoch: 1
weight_decay: 0.0
special_tokens:
pad_token: <pad>
# save_first_step: true # uncomment this to validate checkpoint saving works with your config