stemma-direction / sketch_index.json
Yuta Nagao
Publish Stemma direction model, sketch config and prebuilt index
a369333 verified
Raw
History Blame Contribute Delete
54.1 kB
{
"version": "stemma-index-v1",
"dim": 1456,
"metric": "cosine",
"backend": "faiss",
"ids": [
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-135m-root",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/gpt2-root",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/distilgpt2",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-sft",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-lora-merged",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-cpt",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-int8",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-sft-int4",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/gpt2-int8",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-prune-mag30",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-sft-prune-struct10",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-vocab-ext",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-vocab-ext-trained",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-merge-slerp",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-merge-ties2",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-merge-ties3",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-merge-dare2",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-distil-half",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/control-rand-init-a",
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/control-rand-init-b"
],
"meta": {
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-135m-root": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/gpt2-root": {
"n_layers": 12,
"hidden_size": 768,
"vocab_size": 50257,
"dtypes": {
"F32": 160
},
"architectures": [
"GPT2LMHeadModel"
],
"tensor_count": 160,
"param_count": 137022720,
"fused_qkv": true,
"intermediate_size": 3072,
"n_1d_tensors": 98,
"q_shape": [
768,
2304
],
"kv_shape": [],
"tied_embeddings": true,
"slot_tensors": {
"attn_o@0": "h.0.attn.c_proj.weight",
"attn_q@0": "h.0.attn.c_attn.weight",
"embed@0": "wte.weight",
"mlp_in@0": "h.0.mlp.c_fc.weight",
"mlp_out@0": "h.0.mlp.c_proj.weight",
"norm@4": "h.0.ln_1.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/distilgpt2": {
"n_layers": 6,
"hidden_size": 768,
"vocab_size": 50257,
"dtypes": {
"F32": 82
},
"architectures": [
"GPT2LMHeadModel"
],
"tensor_count": 82,
"param_count": 88204032,
"fused_qkv": true,
"intermediate_size": 3072,
"n_1d_tensors": 50,
"q_shape": [
768,
2304
],
"kv_shape": [],
"tied_embeddings": true,
"slot_tensors": {
"attn_o@0": "transformer.h.0.attn.c_proj.weight",
"attn_o@1": "transformer.h.1.attn.c_proj.weight",
"attn_o@2": "transformer.h.2.attn.c_proj.weight",
"attn_o@3": "transformer.h.4.attn.c_proj.weight",
"attn_o@4": "transformer.h.5.attn.c_proj.weight",
"attn_q@0": "transformer.h.0.attn.c_attn.weight",
"attn_q@1": "transformer.h.1.attn.c_attn.weight",
"attn_q@2": "transformer.h.2.attn.c_attn.weight",
"attn_q@3": "transformer.h.4.attn.c_attn.weight",
"attn_q@4": "transformer.h.5.attn.c_attn.weight",
"embed@0": "transformer.wte.weight",
"mlp_in@0": "transformer.h.0.mlp.c_fc.weight",
"mlp_in@1": "transformer.h.1.mlp.c_fc.weight",
"mlp_in@2": "transformer.h.2.mlp.c_fc.weight",
"mlp_in@3": "transformer.h.4.mlp.c_fc.weight",
"mlp_in@4": "transformer.h.5.mlp.c_fc.weight",
"mlp_out@0": "transformer.h.0.mlp.c_proj.weight",
"mlp_out@1": "transformer.h.1.mlp.c_proj.weight",
"mlp_out@2": "transformer.h.2.mlp.c_proj.weight",
"mlp_out@3": "transformer.h.4.mlp.c_proj.weight",
"mlp_out@4": "transformer.h.5.mlp.c_proj.weight",
"norm@0": "transformer.h.0.ln_1.weight",
"norm@1": "transformer.h.1.ln_1.weight",
"norm@2": "transformer.h.2.ln_1.weight",
"norm@3": "transformer.h.4.ln_1.weight",
"norm@4": "transformer.h.5.ln_1.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-sft": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-lora-merged": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-cpt": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-int8": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"F16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-sft-int4": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"F16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/gpt2-int8": {
"n_layers": 12,
"hidden_size": 768,
"vocab_size": 50257,
"dtypes": {
"F16": 160
},
"architectures": [
"GPT2LMHeadModel"
],
"tensor_count": 160,
"param_count": 137022720,
"fused_qkv": true,
"intermediate_size": 3072,
"n_1d_tensors": 98,
"q_shape": [
768,
2304
],
"kv_shape": [],
"tied_embeddings": true,
"slot_tensors": {
"attn_o@0": "h.0.attn.c_proj.weight",
"attn_q@0": "h.0.attn.c_attn.weight",
"embed@0": "wte.weight",
"mlp_in@0": "h.0.mlp.c_fc.weight",
"mlp_out@0": "h.0.mlp.c_proj.weight",
"norm@4": "h.0.ln_1.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-prune-mag30": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-sft-prune-struct10": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-vocab-ext": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49664,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134809920,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-vocab-ext-trained": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49664,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134809920,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-merge-slerp": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-merge-ties2": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-merge-ties3": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-merge-dare2": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/smollm2-distil-half": {
"n_layers": 15,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 137
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 137,
"param_count": 81413568,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 31,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.2.self_attn.k_proj.weight",
"attn_k@2": "model.layers.6.self_attn.k_proj.weight",
"attn_k@3": "model.layers.10.self_attn.k_proj.weight",
"attn_k@4": "model.layers.13.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.2.self_attn.o_proj.weight",
"attn_o@2": "model.layers.6.self_attn.o_proj.weight",
"attn_o@3": "model.layers.10.self_attn.o_proj.weight",
"attn_o@4": "model.layers.13.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.2.self_attn.q_proj.weight",
"attn_q@2": "model.layers.6.self_attn.q_proj.weight",
"attn_q@3": "model.layers.10.self_attn.q_proj.weight",
"attn_q@4": "model.layers.13.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.2.self_attn.v_proj.weight",
"attn_v@2": "model.layers.6.self_attn.v_proj.weight",
"attn_v@3": "model.layers.10.self_attn.v_proj.weight",
"attn_v@4": "model.layers.13.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.2.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.6.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.13.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.2.mlp.down_proj.weight",
"mlp_out@2": "model.layers.6.mlp.down_proj.weight",
"mlp_out@3": "model.layers.10.mlp.down_proj.weight",
"mlp_out@4": "model.layers.13.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.2.input_layernorm.weight",
"norm@2": "model.layers.6.input_layernorm.weight",
"norm@3": "model.layers.10.input_layernorm.weight",
"norm@4": "model.layers.13.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/control-rand-init-a": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
},
"/Users/nagaoyuta/Desktop/Claude code/24-Stemma/bench_models/control-rand-init-b": {
"n_layers": 30,
"hidden_size": 576,
"vocab_size": 49152,
"dtypes": {
"BF16": 272
},
"architectures": [
"LlamaForCausalLM"
],
"tensor_count": 272,
"param_count": 134515008,
"fused_qkv": false,
"intermediate_size": 1536,
"n_1d_tensors": 61,
"q_shape": [
576,
576
],
"kv_shape": [
192,
576
],
"tied_embeddings": true,
"slot_tensors": {
"attn_k@0": "model.layers.0.self_attn.k_proj.weight",
"attn_k@1": "model.layers.10.self_attn.k_proj.weight",
"attn_k@2": "model.layers.11.self_attn.k_proj.weight",
"attn_k@3": "model.layers.19.self_attn.k_proj.weight",
"attn_k@4": "model.layers.26.self_attn.k_proj.weight",
"attn_o@0": "model.layers.0.self_attn.o_proj.weight",
"attn_o@1": "model.layers.10.self_attn.o_proj.weight",
"attn_o@2": "model.layers.11.self_attn.o_proj.weight",
"attn_o@3": "model.layers.19.self_attn.o_proj.weight",
"attn_o@4": "model.layers.26.self_attn.o_proj.weight",
"attn_q@0": "model.layers.0.self_attn.q_proj.weight",
"attn_q@1": "model.layers.10.self_attn.q_proj.weight",
"attn_q@2": "model.layers.11.self_attn.q_proj.weight",
"attn_q@3": "model.layers.19.self_attn.q_proj.weight",
"attn_q@4": "model.layers.26.self_attn.q_proj.weight",
"attn_v@0": "model.layers.0.self_attn.v_proj.weight",
"attn_v@1": "model.layers.10.self_attn.v_proj.weight",
"attn_v@2": "model.layers.11.self_attn.v_proj.weight",
"attn_v@3": "model.layers.19.self_attn.v_proj.weight",
"attn_v@4": "model.layers.26.self_attn.v_proj.weight",
"embed@0": "model.embed_tokens.weight",
"mlp_in@0": "model.layers.0.mlp.gate_proj.weight",
"mlp_in@1": "model.layers.10.mlp.gate_proj.weight",
"mlp_in@2": "model.layers.11.mlp.gate_proj.weight",
"mlp_in@3": "model.layers.19.mlp.gate_proj.weight",
"mlp_in@4": "model.layers.26.mlp.gate_proj.weight",
"mlp_out@0": "model.layers.0.mlp.down_proj.weight",
"mlp_out@1": "model.layers.10.mlp.down_proj.weight",
"mlp_out@2": "model.layers.11.mlp.down_proj.weight",
"mlp_out@3": "model.layers.19.mlp.down_proj.weight",
"mlp_out@4": "model.layers.26.mlp.down_proj.weight",
"norm@0": "model.layers.0.input_layernorm.weight",
"norm@1": "model.layers.10.input_layernorm.weight",
"norm@2": "model.layers.11.input_layernorm.weight",
"norm@3": "model.layers.19.input_layernorm.weight",
"norm@4": "model.layers.26.input_layernorm.weight"
},
"max_rows": 2048,
"k": 64,
"seed": 0
}
},
"npz": "sketch_index.npz"
}