90 lines
2.1 KiB
YAML
90 lines
2.1 KiB
YAML
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
|
model_type: Llama4ForConditionalGeneration
|
|
processor_type: Llama4Processor
|
|
# Automatically upload checkpoint and final model to HF
|
|
# hub_model_id: username/custom_model_name
|
|
|
|
|
|
# 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
|
|
|
|
sequence_len: 4096
|
|
|
|
plugins:
|
|
- axolotl.integrations.liger.LigerPlugin
|
|
|
|
liger_glu_activation: true
|
|
liger_rms_norm: true
|
|
liger_layer_norm: true
|
|
|
|
llama4_linearized_experts: true # use Axolotl's customized model
|
|
load_in_4bit: true
|
|
adapter: qlora
|
|
lora_r: 32
|
|
lora_alpha: 64
|
|
lora_target_modules:
|
|
- self_attn.q_proj
|
|
- self_attn.k_proj
|
|
- self_attn.v_proj
|
|
- self_attn.o_proj
|
|
- shared_expert.gate_proj
|
|
- shared_expert.up_proj
|
|
- shared_expert.down_proj
|
|
- vision_adapter.mlp.fc1
|
|
- vision_adapter.mlp.fc2
|
|
# - experts.gate_projs.[0-9]+$
|
|
# - experts.up_projs.[0-9]+$
|
|
# - experts.down_projs.[0-9]+$
|
|
lora_modules_to_save:
|
|
- lm_head
|
|
- embed_tokens
|
|
|
|
chat_template: llama4
|
|
datasets:
|
|
- path: HuggingFaceH4/llava-instruct-mix-vsft
|
|
type: chat_template
|
|
split: train[:1%]
|
|
|
|
dataset_prepared_path: last_run_prepared
|
|
val_set_size: 0.0
|
|
output_dir: ./outputs/out
|
|
|
|
gradient_accumulation_steps: 1
|
|
micro_batch_size: 1
|
|
num_epochs: 1
|
|
optimizer: adamw_torch_4bit
|
|
lr_scheduler: cosine
|
|
learning_rate: 2e-5
|
|
|
|
bf16: true
|
|
tf32: true
|
|
|
|
logging_steps: 1
|
|
flash_attention: true
|
|
|
|
warmup_ratio: 0.1
|
|
evals_per_epoch: 1
|
|
saves_per_epoch: 1
|
|
weight_decay: 0.0
|
|
fsdp:
|
|
- auto_wrap
|
|
- full_shard
|
|
fsdp_config:
|
|
fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer
|
|
fsdp_limit_all_gathers: true
|
|
fsdp_sync_module_states: true
|
|
fsdp_offload_params: true
|
|
fsdp_use_orig_params: false
|
|
fsdp_cpu_ram_efficient_loading: true
|
|
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
|
fsdp_state_dict_type: FULL_STATE_DICT
|
|
fsdp_sharding_strategy: FULL_SHARD
|
|
fsdp_activation_checkpointing: true
|
|
special_tokens:
|
|
pad_token: <|finetune_right_pad|>
|
|
eos_token: <|eot|>
|
|
|
|
# save_first_step: true # uncomment this to validate checkpoint saving works with your config
|