Add: SFTPlugin with llmcompressor

examples/llama-3/sft.yaml

@@ -0,0 +1,76 @@
+base_model: "nm-testing/llama2.c-stories42M-gsm8k-sparse-only-uncompressed" 
+# TODO: change to
+# base_model: neuralmagic/Sparse-Llama-3.1-8B-2of4
+
+plugins:
+  - axolotl.integrations.llmcompressor_sft.SFTPlugin
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: tatsu-lab/alpaca
+    type: alpaca
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+output_dir: ./outputs/out
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+# gradient_accumulation_steps: 8
+micro_batch_size: 1
+num_epochs: 1
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 100
+evals_per_epoch: 2
+eval_table_size:
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|end_of_text|>
+recipe:
+  finetuning_stage:
+    finetuning_modifiers:
+      ConstantPruningModifier:
+        targets: [
+          're:.*q_proj.weight',
+          're:.*k_proj.weight', 
+          're:.*v_proj.weight',
+          're:.*o_proj.weight',
+          're:.*gate_proj.weight',
+          're:.*up_proj.weight',
+          're:.*down_proj.weight',
+        ]
+        start: 0