Implement fused modules (#747)
* MLP: Memory saving * Remove RMSNorm restrictions * Map packed weights to original * FusedAttention module * Simplify code * Move fused modules * Fix critical typo * Split inplace * Add FFT config * Add validation of fused arguments * Add fused arguments to config * Update docs * Fix validation logic * Add fused modules to flash attn * Only fuse during training * Remove timing * Formatting * Formatting * Formatting * chore: lint * chore: lint * add e2e tests for fused llama * no lora for tests --------- Co-authored-by: Wing Lian <wing.lian@gmail.com>
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@@ -9,12 +9,16 @@ gradient_accumulation_steps: 2
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micro_batch_size: 1
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```shell
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accelerate launch scripts/finetune.py examples/llama-2/qlora.yml
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accelerate launch -m axolotl.cli.train examples/llama-2/qlora.yml
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```
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or
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```shell
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accelerate launch scripts/finetune.py examples/llama-2/lora.yml
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accelerate launch -m axolotl.cli.train examples/llama-2/lora.yml
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```
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To launch a full finetuning with 16-bit precision:
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```shell
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accelerate launch -m axolotl.cli.train examples/llama-2/fft_optimized.yml
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```
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73
examples/llama-2/fft_optimized.yml
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73
examples/llama-2/fft_optimized.yml
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@@ -0,0 +1,73 @@
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base_model: NousResearch/Llama-2-7b-hf
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base_model_config: NousResearch/Llama-2-7b-hf
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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is_llama_derived_model: true
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: mhenrichsen/alpaca_2k_test
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type: alpaca
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.01
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output_dir: ./out
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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adapter:
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lora_model_dir:
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lora_r:
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lora_alpha:
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lora_dropout:
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lora_target_linear:
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lora_fan_in_fan_out:
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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gradient_accumulation_steps: 1
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micro_batch_size: 1
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16: false
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tf32: false
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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flash_attn_cross_entropy: false
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flash_attn_rms_norm: true
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flash_attn_fuse_qkv: false
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flash_attn_fuse_mlp: true
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warmup_steps: 100
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eval_steps: 0.05
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eval_table_size:
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save_steps:
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debug:
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deepspeed: #deepspeed/zero2.json # multi-gpu only
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weight_decay: 0.1
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fsdp:
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fsdp_config:
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special_tokens:
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bos_token: "<s>"
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eos_token: "</s>"
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unk_token: "<unk>"
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