753906cfc7
* chore: rename without period * feat: add glm45 air * feat: add doc on expert quantization * feat: update base readme with new changes * chore: cleanup * chore: cleanup * chore: cleanup * fix: disable quantize_moe_expert on merge per comment * chore: add kernel info to optimizations doc
76 lines
1.4 KiB
YAML
76 lines
1.4 KiB
YAML
base_model: zai-org/GLM-4.7-Flash
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plugins:
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
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load_in_4bit: true
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quantize_moe_experts: true
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datasets:
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- path: fozziethebeat/alpaca_messages_2k_test
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type: chat_template
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.1
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output_dir: ./outputs/glm4.7-flash-qlora-fsdp-out
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adapter: qlora
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lora_model_dir:
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sequence_len: 2048
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sample_packing: true
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0
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lora_target_modules:
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- q_proj
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- v_proj
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- k_proj
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- o_proj
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# Uncomment to also target MoE expert weights:
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# lora_target_parameters:
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# - mlp.experts.gate_up_proj
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# - mlp.experts.down_proj
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# LoRA kernels incompatible with DSA attention
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lora_mlp_kernel: false
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lora_qkv_kernel: false
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lora_o_kernel: false
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 1
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optimizer: adamw_torch_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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bf16: auto
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tf32: false
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resume_from_checkpoint:
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logging_steps: 1
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flash_attention: true
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warmup_ratio: 0.1
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evals_per_epoch: 1
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saves_per_epoch: 1
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fsdp_config:
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fsdp_version: 2
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offload_params: false
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cpu_ram_efficient_loading: false
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auto_wrap_policy: TRANSFORMER_BASED_WRAP
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transformer_layer_cls_to_wrap: Glm4MoeLiteDecoderLayer
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state_dict_type: FULL_STATE_DICT
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sharding_strategy: FULL_SHARD
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reshard_after_forward: true
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activation_checkpointing: true
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