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Add config files to experiment on the performance between dense and MOE blocks in attention layers #18

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85d8026
Add configs for seqlen 128 for mla and mla-o
Adefioye Sep 24, 2025
6e5aaa9
Change config to make all layers dense
Adefioye Sep 24, 2025
7907471
Tweaked params in config
Adefioye Sep 25, 2025
0fc0729
Make some cleanup
Adefioye Sep 27, 2025
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106 changes: 106 additions & 0 deletions subspace_decoder/configs/seqlen128_mla-on_q96_k64_o96.json
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{
"shorthand": "seqlen.128 - mla-on.96.64.96 - mlp.1024 - model.256.lyr.6 - ah.8.32",
"notes": "MLA-o with sequential decomp and norm. Sequence length is 128.",
"model": {
"hidden_size": 256,
"num_hidden_layers": 6,
"num_nextn_predict_layers": 1,
"moe_intermediate_size": 256,
"intermediate_size": 1024,

"n_shared_experts": 0,
"n_routed_experts": 4,
"num_experts_per_tok": 2,
"moe_layer_freq": 0,
"first_k_dense_replace": 0,

"ep_size": 1,
"routed_scaling_factor": 1,
"topk_method": "softmax_aux",
"n_group": 1,
"topk_group": 1,
"norm_topk_prob": true,
"scoring_func": "softmax",
"hidden_act": "silu",
"use_cache": false,
"pad_token_id": 50256,
"bos_token_id": 50256,
"eos_token_id": 50256,
"tie_word_embeddings": true,
"attention_dropout": 0.0,
"hidden_dropout_prob": 0.1,
"classifier_dropout": null,
"initializer_range": 0.02,
"rms_norm_eps": 1e-06,
"vocab_size": 50257,
"rope_theta": 10000.0,
"rope_scaling": null,
"max_position_embeddings": 1024,
"kv_lora_rank": 64,
"q_lora_rank": 96,
"qk_rope_head_dim": 32,
"v_head_dim": 32,
"qk_nope_head_dim": 0,
"num_attention_heads": 8,
"num_key_value_heads": 8,
"attention_bias": false,
"use_output_subspace": true,
"o_proj_variant": "sequential_norm",
"o_latent_dim": 96,
"attention_backend": "flash_attention_2"
},
"pre_train": {
"output_dir": "checkpoints/seqlen128_mla-on_q96_k64_o96",
"seed": 42,
"train_batch_size": 128,
"gradient_accumulation_steps": 8,
"learning_rate": 0.0005,
"num_train_steps": 12500,
"eval_steps": 1000,
"weight_decay": 0.01,
"num_workers": 8,
"pin_memory": true,
"dataset_name": "wikitext",
"dataset_config": "wikitext-103-raw-v1",
"max_seq_length": 128,
"eval_batch_size": 32,
"bf16": true,
"fp16": false,
"torch_compile": true,
"torch_compile_backend": "inductor",
"torch_compile_mode": "default"
},
"fine_tune": {
"task": "sst2",
"tokenizer_name_or_path": "gpt2",
"method": "lm_label_words",
"label_words": {
"0": " negative",
"1": " positive"
},
"train_batch_size": 256,
"gradient_accumulation_steps": 1,
"eval_batch_size": 256,
"learning_rate": 5e-05,
"weight_decay": 0.05,
"max_steps": 1500,
"warmup_ratio": 0.1,
"eval_steps": 150,
"logging_steps": 20,
"save_strategy": "no",
"save_total_limit": 0,
"report_to_wandb": true,
"bf16": true,
"fp16": false,
"torch_compile": false,
"torch_compile_backend": null,
"torch_compile_mode": null,
"lora": {
"enabled": false
},
"seed": 42,
"max_seq_length": 128,
"output_dir": "checkpoints/seqlen128_mla-on_q96_k64_o96/ft_sst2",
"run_name": "ft-sst2 - seqlen.128 - mla-on.96.64.96 - mlp.1024 - model.256.lyr.6 - ah.8.32"
}
}
106 changes: 106 additions & 0 deletions subspace_decoder/configs/seqlen128_mla_q96_k64.json
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{
"shorthand": "seqlen.128 - mla.96.64 - mlp.1024 - model.256.lyr.6 - ah.8.32",
"notes": "Baseline MLA, Sequence length is 128.",
"model": {
"hidden_size": 256,
"num_hidden_layers": 6,
"num_nextn_predict_layers": 1,
"moe_intermediate_size": 256,
"intermediate_size": 1024,

"n_shared_experts": 0,
"n_routed_experts": 4,
"num_experts_per_tok": 2,
"moe_layer_freq": 0,
"first_k_dense_replace": 0,

"ep_size": 1,
"routed_scaling_factor": 1,
"topk_method": "softmax_aux",
"n_group": 1,
"topk_group": 1,
"norm_topk_prob": true,
"scoring_func": "softmax",
"hidden_act": "silu",
"use_cache": false,
"pad_token_id": 50256,
"bos_token_id": 50256,
"eos_token_id": 50256,
"tie_word_embeddings": true,
"attention_dropout": 0.0,
"hidden_dropout_prob": 0.1,
"classifier_dropout": null,
"initializer_range": 0.02,
"rms_norm_eps": 1e-06,
"vocab_size": 50257,
"rope_theta": 10000.0,
"rope_scaling": null,
"max_position_embeddings": 1024,
"kv_lora_rank": 64,
"q_lora_rank": 96,
"qk_rope_head_dim": 32,
"v_head_dim": 32,
"qk_nope_head_dim": 0,
"num_attention_heads": 8,
"num_key_value_heads": 8,
"attention_bias": false,
"use_output_subspace": false,
"o_proj_variant": "vanilla",
"o_latent_dim": null,
"attention_backend": "flash_attention_2"
},
"pre_train": {
"output_dir": "checkpoints/seqlen128_mla_q96_k64",
"seed": 42,
"train_batch_size": 128,
"gradient_accumulation_steps": 8,
"learning_rate": 0.0005,
"num_train_steps": 12500,
"eval_steps": 1000,
"weight_decay": 0.01,
"num_workers": 8,
"pin_memory": true,
"dataset_name": "wikitext",
"dataset_config": "wikitext-103-raw-v1",
"max_seq_length": 128,
"eval_batch_size": 32,
"bf16": true,
"fp16": false,
"torch_compile": true,
"torch_compile_backend": "inductor",
"torch_compile_mode": "default"
},
"fine_tune": {
"task": "sst2",
"tokenizer_name_or_path": "gpt2",
"method": "lm_label_words",
"label_words": {
"0": " negative",
"1": " positive"
},
"train_batch_size": 256,
"gradient_accumulation_steps": 1,
"eval_batch_size": 256,
"learning_rate": 5e-05,
"weight_decay": 0.05,
"max_steps": 1500,
"warmup_ratio": 0.1,
"eval_steps": 150,
"logging_steps": 20,
"save_strategy": "no",
"save_total_limit": 0,
"report_to_wandb": true,
"bf16": true,
"fp16": false,
"torch_compile": false,
"torch_compile_backend": null,
"torch_compile_mode": null,
"lora": {
"enabled": false
},
"seed": 42,
"max_seq_length": 128,
"output_dir": "checkpoints/seqlen128_mla_q96_k64/ft_sst2",
"run_name": "ft-sst2 - seqlen.128 - mla.96.64 - mlp.1024 - model.256.lyr.6 - ah.8.32"
}
}
4 changes: 2 additions & 2 deletions subspace_decoder/scripts/finetune_sst2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,13 +26,13 @@
set_seed,
)

from utils import summarize_parameters, format_size

# Project import path (same pattern as your train.py)
PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))

from utils import summarize_parameters, format_size

from layers.patch_o_proj import load_checkpoint_state_dict, load_and_patch_model, Variant

from transformers import DeepseekV3Config, DeepseekV3ForCausalLM
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8 changes: 4 additions & 4 deletions subspace_decoder/scripts/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,10 +35,6 @@
set_seed,
)

from utils import summarize_parameters, format_size
# To disable a warning.
os.environ["TOKENIZERS_PARALLELISM"] = "false"

# Make sure we can import modules from the decoder package
PROJECT_ROOT = Path(__file__).resolve().parents[1]

Expand All @@ -47,6 +43,10 @@
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))

from utils import summarize_parameters, format_size
# To disable a warning.
os.environ["TOKENIZERS_PARALLELISM"] = "false"

from layers.patch_o_proj import patch_o_proj_implementation

from transformers import DeepseekV3Config, DeepseekV3ForCausalLM
Expand Down