gemma-3-12b-it-pruned-GGUF/scores/gemma-3-12b-it-Q4_K_M.md

gemma-3-12b-it-Q4_K_M.gguf - GGUF Internal File Dump

• Endian: LITTLE endian

Key Value Metadata Store

There are 48 key-value pairs in this file

POS	TYPE	Count	Key	Value
1	UINT32	1	GGUF.version	3
2	UINT64	1	GGUF.tensor_count	600
3	UINT64	1	GGUF.kv_count	45
4	STRING	1	general.architecture	gemma3
5	STRING	1	general.type	model
6	STRING	1	general.name	Gemma 3 12b It
7	STRING	1	general.finetune	it
8	STRING	1	general.basename	gemma-3
9	STRING	1	general.size_label	12B
10	STRING	1	general.license	gemma
11	UINT32	1	general.base_model.count	1
12	STRING	1	general.base_model.0.name	Gemma 3 12b Pt
13	STRING	1	general.base_model.0.organization	Google
14	STRING	1	general.base_model.0.repo_url	https://huggingface.co/google/gemma-3-12b-pt
15	[STRING]	1	general.tags	[ image-text-to-text ]
16	UINT32	1	gemma3.context_length	131072
17	UINT32	1	gemma3.embedding_length	3840
18	UINT32	1	gemma3.feed_forward_length	15360
19	UINT32	1	gemma3.attention.head_count	16
20	FLOAT32	1	gemma3.attention.layer_norm_rms_epsilon	1e-06
21	UINT32	1	gemma3.attention.key_length	256
22	UINT32	1	gemma3.attention.value_length	256
23	FLOAT32	1	gemma3.rope.freq_base	1000000.0
24	UINT32	1	gemma3.attention.sliding_window	1024
25	UINT32	1	gemma3.attention.head_count_kv	8
26	STRING	1	gemma3.rope.scaling.type	linear
27	FLOAT32	1	gemma3.rope.scaling.factor	8.0
28	STRING	1	tokenizer.ggml.model	llama
29	STRING	1	tokenizer.ggml.pre	default
30	[STRING]	262144	tokenizer.ggml.tokens	[ <pad>, <eos>, <bos>, <unk>, <mask>, ... ]
31	[FLOAT32]	262144	tokenizer.ggml.scores	[ -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, ... ]
32	[INT32]	262144	tokenizer.ggml.token_type	[ 3, 3, 3, 3, 3, 4, 3, ... ]
33	UINT32	1	tokenizer.ggml.bos_token_id	2
34	UINT32	1	tokenizer.ggml.eos_token_id	1
35	UINT32	1	tokenizer.ggml.unknown_token_id	3
36	UINT32	1	tokenizer.ggml.padding_token_id	0
37	BOOL	1	tokenizer.ggml.add_bos_token	True
38	BOOL	1	tokenizer.ggml.add_eos_token	False
39	STRING	1	tokenizer.chat_template	{{ bos_token }}{%- if message..._turn>model'}}{%- endif -%}
40	BOOL	1	tokenizer.ggml.add_space_prefix	False
41	UINT32	1	general.quantization_version	2
42	UINT32	1	general.file_type	15
43	BOOL	1	general.pruned	True
44	UINT32	1	gemma3.block_count	46
45	STRING	1	quantize.imatrix.file	./imatrix/imatrix-gemma-3-12b-it-small.dat
46	STRING	1	quantize.imatrix.dataset	../../datasets/imatrix/combined_eur_small.txt
47	INT32	1	quantize.imatrix.entries_count	336
48	INT32	1	quantize.imatrix.chunks_count	3226

Tensors Overview ~11B Elements

Total number of elements in all tensors: 11317490432 Elements

• gemma-3-12b-it-Q4_K_M.gguf - GGUF Internal File Dump
  • Key Value Metadata Store
  • Tensors Overview ~11B Elements
    • Tensor Data Offset
    • Base Tensor Group : ~1B Elements
    • Block 0 Tensor Group : ~224M Elements
    • Block 1 Tensor Group : ~224M Elements
    • Block 2 Tensor Group : ~224M Elements
    • Block 3 Tensor Group : ~224M Elements
    • Block 4 Tensor Group : ~224M Elements
    • Block 5 Tensor Group : ~224M Elements
    • Block 6 Tensor Group : ~224M Elements
    • Block 7 Tensor Group : ~224M Elements
    • Block 8 Tensor Group : ~224M Elements
    • Block 9 Tensor Group : ~224M Elements
    • Block 10 Tensor Group : ~224M Elements
    • Block 11 Tensor Group : ~224M Elements
    • Block 12 Tensor Group : ~224M Elements
    • Block 13 Tensor Group : ~224M Elements
    • Block 14 Tensor Group : ~224M Elements
    • Block 15 Tensor Group : ~224M Elements
    • Block 16 Tensor Group : ~224M Elements
    • Block 17 Tensor Group : ~224M Elements
    • Block 18 Tensor Group : ~224M Elements
    • Block 19 Tensor Group : ~224M Elements
    • Block 20 Tensor Group : ~224M Elements
    • Block 21 Tensor Group : ~224M Elements
    • Block 22 Tensor Group : ~224M Elements
    • Block 23 Tensor Group : ~224M Elements
    • Block 24 Tensor Group : ~224M Elements
    • Block 25 Tensor Group : ~224M Elements
    • Block 26 Tensor Group : ~224M Elements
    • Block 27 Tensor Group : ~224M Elements
    • Block 28 Tensor Group : ~224M Elements
    • Block 29 Tensor Group : ~224M Elements
    • Block 30 Tensor Group : ~224M Elements
    • Block 31 Tensor Group : ~224M Elements
    • Block 32 Tensor Group : ~224M Elements
    • Block 33 Tensor Group : ~224M Elements
    • Block 34 Tensor Group : ~224M Elements
    • Block 35 Tensor Group : ~224M Elements
    • Block 36 Tensor Group : ~224M Elements
    • Block 37 Tensor Group : ~224M Elements
    • Block 38 Tensor Group : ~224M Elements
    • Block 39 Tensor Group : ~224M Elements
    • Block 40 Tensor Group : ~224M Elements
    • Block 41 Tensor Group : ~224M Elements
    • Block 42 Tensor Group : ~224M Elements
    • Block 43 Tensor Group : ~224M Elements
    • Block 44 Tensor Group : ~224M Elements
    • Block 45 Tensor Group : ~224M Elements

Tensor Data Offset

This table contains the offset and data segment relative to start of file

T_ID	Tensor Layer Name	Data Offset (B)	Data Size (B)
0	output_norm.weight	0x63ee20	0x3c00
1	token_embd.weight	0x642a20	0x19c80000
2	blk.0.attn_k.weight	0x1a2c2a20	0x438000
3	blk.0.attn_k_norm.weight	0x1a6faa20	0x400
4	blk.0.attn_norm.weight	0x1a6fae20	0x3c00
5	blk.0.attn_output.weight	0x1a6fea20	0x870000
6	blk.0.attn_q.weight	0x1af6ea20	0x870000
7	blk.0.attn_q_norm.weight	0x1b7dea20	0x400
8	blk.0.attn_v.weight	0x1b7dee20	0x528000
9	blk.0.ffn_down.weight	0x1bd06e20	0x26ac000
10	blk.0.ffn_gate.weight	0x1e3b2e20	0x1fa4000
11	blk.0.ffn_norm.weight	0x20356e20	0x3c00
12	blk.0.ffn_up.weight	0x2035aa20	0x1fa4000
13	blk.0.post_attention_norm.weight	0x222fea20	0x3c00
14	blk.0.post_ffw_norm.weight	0x22302620	0x3c00
15	blk.1.attn_k.weight	0x22306220	0x438000
16	blk.1.attn_k_norm.weight	0x2273e220	0x400
17	blk.1.attn_norm.weight	0x2273e620	0x3c00
18	blk.1.attn_output.weight	0x22742220	0x870000
19	blk.1.attn_q.weight	0x22fb2220	0x870000
20	blk.1.attn_q_norm.weight	0x23822220	0x400
21	blk.1.attn_v.weight	0x23822620	0x528000
22	blk.1.ffn_down.weight	0x23d4a620	0x26ac000
23	blk.1.ffn_gate.weight	0x263f6620	0x1fa4000
24	blk.1.ffn_norm.weight	0x2839a620	0x3c00
25	blk.1.ffn_up.weight	0x2839e220	0x1fa4000
26	blk.1.post_attention_norm.weight	0x2a342220	0x3c00
27	blk.1.post_ffw_norm.weight	0x2a345e20	0x3c00
28	blk.2.attn_k.weight	0x2a349a20	0x438000
29	blk.2.attn_k_norm.weight	0x2a781a20	0x400
30	blk.2.attn_norm.weight	0x2a781e20	0x3c00
31	blk.2.attn_output.weight	0x2a785a20	0x870000
32	blk.2.attn_q.weight	0x2aff5a20	0x870000
33	blk.2.attn_q_norm.weight	0x2b865a20	0x400
34	blk.2.attn_v.weight	0x2b865e20	0x528000
35	blk.2.ffn_down.weight	0x2bd8de20	0x26ac000
36	blk.2.ffn_gate.weight	0x2e439e20	0x1fa4000
37	blk.2.ffn_norm.weight	0x303dde20	0x3c00
38	blk.2.ffn_up.weight	0x303e1a20	0x1fa4000
39	blk.2.post_attention_norm.weight	0x32385a20	0x3c00
40	blk.2.post_ffw_norm.weight	0x32389620	0x3c00
41	blk.3.attn_k.weight	0x3238d220	0x438000
42	blk.3.attn_k_norm.weight	0x327c5220	0x400
43	blk.3.attn_norm.weight	0x327c5620	0x3c00
44	blk.3.attn_output.weight	0x327c9220	0x870000
45	blk.3.attn_q.weight	0x33039220	0x870000
46	blk.3.attn_q_norm.weight	0x338a9220	0x400
47	blk.3.attn_v.weight	0x338a9620	0x528000
48	blk.3.ffn_down.weight	0x33dd1620	0x26ac000
49	blk.3.ffn_gate.weight	0x3647d620	0x1fa4000
50	blk.3.ffn_norm.weight	0x38421620	0x3c00
51	blk.3.ffn_up.weight	0x38425220	0x1fa4000
52	blk.3.post_attention_norm.weight	0x3a3c9220	0x3c00
53	blk.3.post_ffw_norm.weight	0x3a3cce20	0x3c00
54	blk.4.attn_k.weight	0x3a3d0a20	0x438000
55	blk.4.attn_k_norm.weight	0x3a808a20	0x400
56	blk.4.attn_norm.weight	0x3a808e20	0x3c00
57	blk.4.attn_output.weight	0x3a80ca20	0x870000
58	blk.4.attn_q.weight	0x3b07ca20	0x870000
59	blk.4.attn_q_norm.weight	0x3b8eca20	0x400
60	blk.4.attn_v.weight	0x3b8ece20	0x528000
61	blk.4.ffn_down.weight	0x3be14e20	0x26ac000
62	blk.4.ffn_gate.weight	0x3e4c0e20	0x1fa4000
63	blk.4.ffn_norm.weight	0x40464e20	0x3c00
64	blk.4.ffn_up.weight	0x40468a20	0x1fa4000
65	blk.4.post_attention_norm.weight	0x4240ca20	0x3c00
66	blk.4.post_ffw_norm.weight	0x42410620	0x3c00
67	blk.5.attn_k.weight	0x42414220	0x438000
68	blk.5.attn_k_norm.weight	0x4284c220	0x400
69	blk.5.attn_norm.weight	0x4284c620	0x3c00
70	blk.5.attn_output.weight	0x42850220	0x870000
71	blk.5.attn_q.weight	0x430c0220	0x870000
72	blk.5.attn_q_norm.weight	0x43930220	0x400
73	blk.5.attn_v.weight	0x43930620	0x528000
74	blk.5.ffn_down.weight	0x43e58620	0x26ac000
75	blk.5.ffn_gate.weight	0x46504620	0x1fa4000
76	blk.5.ffn_norm.weight	0x484a8620	0x3c00
77	blk.5.ffn_up.weight	0x484ac220	0x1fa4000
78	blk.5.post_attention_norm.weight	0x4a450220	0x3c00
79	blk.5.post_ffw_norm.weight	0x4a453e20	0x3c00
80	blk.6.attn_k.weight	0x4a457a20	0x438000
81	blk.6.attn_k_norm.weight	0x4a88fa20	0x400
82	blk.6.attn_norm.weight	0x4a88fe20	0x3c00
83	blk.6.attn_output.weight	0x4a893a20	0x870000
84	blk.6.attn_q.weight	0x4b103a20	0x870000
85	blk.6.attn_q_norm.weight	0x4b973a20	0x400
86	blk.6.attn_v.weight	0x4b973e20	0x528000
87	blk.6.ffn_down.weight	0x4be9be20	0x26ac000
88	blk.6.ffn_gate.weight	0x4e547e20	0x1fa4000
89	blk.6.ffn_norm.weight	0x504ebe20	0x3c00
90	blk.6.ffn_up.weight	0x504efa20	0x1fa4000
91	blk.6.post_attention_norm.weight	0x52493a20	0x3c00
92	blk.6.post_ffw_norm.weight	0x52497620	0x3c00
93	blk.7.attn_k.weight	0x5249b220	0x438000
94	blk.7.attn_k_norm.weight	0x528d3220	0x400
95	blk.7.attn_norm.weight	0x528d3620	0x3c00
96	blk.7.attn_output.weight	0x528d7220	0x870000
97	blk.7.attn_q.weight	0x53147220	0x870000
98	blk.7.attn_q_norm.weight	0x539b7220	0x400
99	blk.7.attn_v.weight	0x539b7620	0x528000
100	blk.7.ffn_down.weight	0x53edf620	0x26ac000
101	blk.7.ffn_gate.weight	0x5658b620	0x1fa4000
102	blk.7.ffn_norm.weight	0x5852f620	0x3c00
103	blk.7.ffn_up.weight	0x58533220	0x1fa4000
104	blk.7.post_attention_norm.weight	0x5a4d7220	0x3c00
105	blk.7.post_ffw_norm.weight	0x5a4dae20	0x3c00
106	blk.8.attn_k.weight	0x5a4dea20	0x438000
107	blk.8.attn_k_norm.weight	0x5a916a20	0x400
108	blk.8.attn_norm.weight	0x5a916e20	0x3c00
109	blk.8.attn_output.weight	0x5a91aa20	0x870000
110	blk.8.attn_q.weight	0x5b18aa20	0x870000
111	blk.8.attn_q_norm.weight	0x5b9faa20	0x400
112	blk.8.attn_v.weight	0x5b9fae20	0x528000
113	blk.8.ffn_down.weight	0x5bf22e20	0x26ac000
114	blk.8.ffn_gate.weight	0x5e5cee20	0x1fa4000
115	blk.8.ffn_norm.weight	0x60572e20	0x3c00
116	blk.8.ffn_up.weight	0x60576a20	0x1fa4000
117	blk.8.post_attention_norm.weight	0x6251aa20	0x3c00
118	blk.8.post_ffw_norm.weight	0x6251e620	0x3c00
119	blk.9.attn_k.weight	0x62522220	0x438000
120	blk.9.attn_k_norm.weight	0x6295a220	0x400
121	blk.9.attn_norm.weight	0x6295a620	0x3c00
122	blk.9.attn_output.weight	0x6295e220	0x870000
123	blk.9.attn_q.weight	0x631ce220	0x870000
124	blk.9.attn_q_norm.weight	0x63a3e220	0x400
125	blk.9.attn_v.weight	0x63a3e620	0x528000
126	blk.9.ffn_down.weight	0x63f66620	0x26ac000
127	blk.9.ffn_gate.weight	0x66612620	0x1fa4000
128	blk.9.ffn_norm.weight	0x685b6620	0x3c00
129	blk.9.ffn_up.weight	0x685ba220	0x1fa4000
130	blk.9.post_attention_norm.weight	0x6a55e220	0x3c00
131	blk.9.post_ffw_norm.weight	0x6a561e20	0x3c00
132	blk.10.attn_k.weight	0x6a565a20	0x438000
133	blk.10.attn_k_norm.weight	0x6a99da20	0x400
134	blk.10.attn_norm.weight	0x6a99de20	0x3c00
135	blk.10.attn_output.weight	0x6a9a1a20	0x870000
136	blk.10.attn_q.weight	0x6b211a20	0x870000
137	blk.10.attn_q_norm.weight	0x6ba81a20	0x400
138	blk.10.attn_v.weight	0x6ba81e20	0x528000
139	blk.10.ffn_down.weight	0x6bfa9e20	0x26ac000
140	blk.10.ffn_gate.weight	0x6e655e20	0x1fa4000
141	blk.10.ffn_norm.weight	0x705f9e20	0x3c00
142	blk.10.ffn_up.weight	0x705fda20	0x1fa4000
143	blk.10.post_attention_norm.weight	0x725a1a20	0x3c00
144	blk.10.post_ffw_norm.weight	0x725a5620	0x3c00
145	blk.11.attn_k.weight	0x725a9220	0x339000
146	blk.11.attn_k_norm.weight	0x728e2220	0x400
147	blk.11.attn_norm.weight	0x728e2620	0x3c00
148	blk.11.attn_output.weight	0x728e6220	0x870000
149	blk.11.attn_q.weight	0x73156220	0x672000
150	blk.11.attn_q_norm.weight	0x737c8220	0x400
151	blk.11.attn_v.weight	0x737c8620	0x528000
152	blk.11.ffn_down.weight	0x73cf0620	0x26ac000
153	blk.11.ffn_gate.weight	0x7639c620	0x182b800
154	blk.11.ffn_norm.weight	0x77bc7e20	0x3c00
155	blk.11.ffn_up.weight	0x77bcba20	0x182b800
156	blk.11.post_attention_norm.weight	0x793f7220	0x3c00
157	blk.11.post_ffw_norm.weight	0x793fae20	0x3c00
158	blk.12.attn_k.weight	0x793fea20	0x339000
159	blk.12.attn_k_norm.weight	0x79737a20	0x400
160	blk.12.attn_norm.weight	0x79737e20	0x3c00
161	blk.12.attn_output.weight	0x7973ba20	0x870000
162	blk.12.attn_q.weight	0x79faba20	0x672000
163	blk.12.attn_q_norm.weight	0x7a61da20	0x400
164	blk.12.attn_v.weight	0x7a61de20	0x528000
165	blk.12.ffn_down.weight	0x7ab45e20	0x26ac000
166	blk.12.ffn_gate.weight	0x7d1f1e20	0x182b800
167	blk.12.ffn_norm.weight	0x7ea1d620	0x3c00
168	blk.12.ffn_up.weight	0x7ea21220	0x182b800
169	blk.12.post_attention_norm.weight	0x8024ca20	0x3c00
170	blk.12.post_ffw_norm.weight	0x80250620	0x3c00
171	blk.13.attn_k.weight	0x80254220	0x339000
172	blk.13.attn_k_norm.weight	0x8058d220	0x400
173	blk.13.attn_norm.weight	0x8058d620	0x3c00
174	blk.13.attn_output.weight	0x80591220	0x870000
175	blk.13.attn_q.weight	0x80e01220	0x672000
176	blk.13.attn_q_norm.weight	0x81473220	0x400
177	blk.13.attn_v.weight	0x81473620	0x438000
178	blk.13.ffn_down.weight	0x818ab620	0x26ac000
179	blk.13.ffn_gate.weight	0x83f57620	0x182b800
180	blk.13.ffn_norm.weight	0x85782e20	0x3c00
181	blk.13.ffn_up.weight	0x85786a20	0x182b800
182	blk.13.post_attention_norm.weight	0x86fb2220	0x3c00
183	blk.13.post_ffw_norm.weight	0x86fb5e20	0x3c00
184	blk.14.attn_k.weight	0x86fb9a20	0x339000
185	blk.14.attn_k_norm.weight	0x872f2a20	0x400
186	blk.14.attn_norm.weight	0x872f2e20	0x3c00
187	blk.14.attn_output.weight	0x872f6a20	0x870000
188	blk.14.attn_q.weight	0x87b66a20	0x672000
189	blk.14.attn_q_norm.weight	0x881d8a20	0x400
190	blk.14.attn_v.weight	0x881d8e20	0x528000
191	blk.14.ffn_down.weight	0x88700e20	0x26ac000
192	blk.14.ffn_gate.weight	0x8adace20	0x182b800
193	blk.14.ffn_norm.weight	0x8c5d8620	0x3c00
194	blk.14.ffn_up.weight	0x8c5dc220	0x182b800
195	blk.14.post_attention_norm.weight	0x8de07a20	0x3c00
196	blk.14.post_ffw_norm.weight	0x8de0b620	0x3c00
197	blk.15.attn_k.weight	0x8de0f220	0x339000
198	blk.15.attn_k_norm.weight	0x8e148220	0x400
199	blk.15.attn_norm.weight	0x8e148620	0x3c00
200	blk.15.attn_output.weight	0x8e14c220	0x870000
201	blk.15.attn_q.weight	0x8e9bc220	0x672000
202	blk.15.attn_q_norm.weight	0x8f02e220	0x400
203	blk.15.attn_v.weight	0x8f02e620	0x528000
204	blk.15.ffn_down.weight	0x8f556620	0x26ac000
205	blk.15.ffn_gate.weight	0x91c02620	0x182b800
206	blk.15.ffn_norm.weight	0x9342de20	0x3c00
207	blk.15.ffn_up.weight	0x93431a20	0x182b800
208	blk.15.post_attention_norm.weight	0x94c5d220	0x3c00
209	blk.15.post_ffw_norm.weight	0x94c60e20	0x3c00
210	blk.16.attn_k.weight	0x94c64a20	0x339000
211	blk.16.attn_k_norm.weight	0x94f9da20	0x400
212	blk.16.attn_norm.weight	0x94f9de20	0x3c00
213	blk.16.attn_output.weight	0x94fa1a20	0x870000
214	blk.16.attn_q.weight	0x95811a20	0x672000
215	blk.16.attn_q_norm.weight	0x95e83a20	0x400
216	blk.16.attn_v.weight	0x95e83e20	0x438000
217	blk.16.ffn_down.weight	0x962bbe20	0x26ac000
218	blk.16.ffn_gate.weight	0x98967e20	0x182b800
219	blk.16.ffn_norm.weight	0x9a193620	0x3c00
220	blk.16.ffn_up.weight	0x9a197220	0x182b800
221	blk.16.post_attention_norm.weight	0x9b9c2a20	0x3c00
222	blk.16.post_ffw_norm.weight	0x9b9c6620	0x3c00
223	blk.17.attn_k.weight	0x9b9ca220	0x339000
224	blk.17.attn_k_norm.weight	0x9bd03220	0x400
225	blk.17.attn_norm.weight	0x9bd03620	0x3c00
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524	blk.40.attn_norm.weight	0x14582ce20	0x3c00
525	blk.40.attn_output.weight	0x145830a20	0x870000
526	blk.40.attn_q.weight	0x1460a0a20	0x870000
527	blk.40.attn_q_norm.weight	0x146910a20	0x400
528	blk.40.attn_v.weight	0x146910e20	0x528000
529	blk.40.ffn_down.weight	0x146e38e20	0x26ac000
530	blk.40.ffn_gate.weight	0x1494e4e20	0x1fa4000
531	blk.40.ffn_norm.weight	0x14b488e20	0x3c00
532	blk.40.ffn_up.weight	0x14b48ca20	0x1fa4000
533	blk.40.post_attention_norm.weight	0x14d430a20	0x3c00
534	blk.40.post_ffw_norm.weight	0x14d434620	0x3c00
535	blk.41.attn_k.weight	0x14d438220	0x339000
536	blk.41.attn_k_norm.weight	0x14d771220	0x400
537	blk.41.attn_norm.weight	0x14d771620	0x3c00
538	blk.41.attn_output.weight	0x14d775220	0x870000
539	blk.41.attn_q.weight	0x14dfe5220	0x672000
540	blk.41.attn_q_norm.weight	0x14e657220	0x400
541	blk.41.attn_v.weight	0x14e657620	0x438000
542	blk.41.ffn_down.weight	0x14ea8f620	0x26ac000
543	blk.41.ffn_gate.weight	0x15113b620	0x182b800
544	blk.41.ffn_norm.weight	0x152966e20	0x3c00
545	blk.41.ffn_up.weight	0x15296aa20	0x182b800
546	blk.41.post_attention_norm.weight	0x154196220	0x3c00
547	blk.41.post_ffw_norm.weight	0x154199e20	0x3c00
548	blk.42.attn_k.weight	0x15419da20	0x339000
549	blk.42.attn_k_norm.weight	0x1544d6a20	0x400
550	blk.42.attn_norm.weight	0x1544d6e20	0x3c00
551	blk.42.attn_output.weight	0x1544daa20	0x870000
552	blk.42.attn_q.weight	0x154d4aa20	0x672000
553	blk.42.attn_q_norm.weight	0x1553bca20	0x400
554	blk.42.attn_v.weight	0x1553bce20	0x438000
555	blk.42.ffn_down.weight	0x1557f4e20	0x26ac000
556	blk.42.ffn_gate.weight	0x157ea0e20	0x182b800
557	blk.42.ffn_norm.weight	0x1596cc620	0x3c00
558	blk.42.ffn_up.weight	0x1596d0220	0x182b800
559	blk.42.post_attention_norm.weight	0x15aefba20	0x3c00
560	blk.42.post_ffw_norm.weight	0x15aeff620	0x3c00
561	blk.43.attn_k.weight	0x15af03220	0x339000
562	blk.43.attn_k_norm.weight	0x15b23c220	0x400
563	blk.43.attn_norm.weight	0x15b23c620	0x3c00
564	blk.43.attn_output.weight	0x15b240220	0x870000
565	blk.43.attn_q.weight	0x15bab0220	0x672000
566	blk.43.attn_q_norm.weight	0x15c122220	0x400
567	blk.43.attn_v.weight	0x15c122620	0x438000
568	blk.43.ffn_down.weight	0x15c55a620	0x26ac000
569	blk.43.ffn_gate.weight	0x15ec06620	0x182b800
570	blk.43.ffn_norm.weight	0x160431e20	0x3c00
571	blk.43.ffn_up.weight	0x160435a20	0x182b800
572	blk.43.post_attention_norm.weight	0x161c61220	0x3c00
573	blk.43.post_ffw_norm.weight	0x161c64e20	0x3c00
574	blk.44.attn_k.weight	0x161c68a20	0x438000
575	blk.44.attn_k_norm.weight	0x1620a0a20	0x400
576	blk.44.attn_norm.weight	0x1620a0e20	0x3c00
577	blk.44.attn_output.weight	0x1620a4a20	0x870000
578	blk.44.attn_q.weight	0x162914a20	0x870000
579	blk.44.attn_q_norm.weight	0x163184a20	0x400
580	blk.44.attn_v.weight	0x163184e20	0x528000
581	blk.44.ffn_down.weight	0x1636ace20	0x26ac000
582	blk.44.ffn_gate.weight	0x165d58e20	0x1fa4000
583	blk.44.ffn_norm.weight	0x167cfce20	0x3c00
584	blk.44.ffn_up.weight	0x167d00a20	0x1fa4000
585	blk.44.post_attention_norm.weight	0x169ca4a20	0x3c00
586	blk.44.post_ffw_norm.weight	0x169ca8620	0x3c00
587	blk.45.attn_k.weight	0x169cac220	0x438000
588	blk.45.attn_k_norm.weight	0x16a0e4220	0x400
589	blk.45.attn_norm.weight	0x16a0e4620	0x3c00
590	blk.45.attn_output.weight	0x16a0e8220	0x870000
591	blk.45.attn_q.weight	0x16a958220	0x870000
592	blk.45.attn_q_norm.weight	0x16b1c8220	0x400
593	blk.45.attn_v.weight	0x16b1c8620	0x528000
594	blk.45.ffn_down.weight	0x16b6f0620	0x26ac000
595	blk.45.ffn_gate.weight	0x16dd9c620	0x1fa4000
596	blk.45.ffn_norm.weight	0x16fd40620	0x3c00
597	blk.45.ffn_up.weight	0x16fd44220	0x1fa4000
598	blk.45.post_attention_norm.weight	0x171ce8220	0x3c00
599	blk.45.post_ffw_norm.weight	0x171cebe20	0x3c00

Base Tensor Group : ~1B Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
0	output_norm.weight	Output Normalization (W)	(~4K) 3840	3840 x 1 x 1 x 1	F32
1	token_embd.weight	Token Embedding (W)	(~1B) 1006632960	3840 x 262144 x 1 x 1	Q3_K

• Total elements in base: ( ~1B) 1006636800
• Percentage of total elements: 8.89%

Block 0 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
2	blk.0.attn_k.weight	Block 0 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
3	blk.0.attn_k_norm.weight	Block 0 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
4	blk.0.attn_norm.weight	Block 0 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
5	blk.0.attn_output.weight	Block 0 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
7	blk.0.attn_q_norm.weight	Block 0 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
8	blk.0.attn_v.weight	Block 0 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
9	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
10	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
11	blk.0.ffn_norm.weight	Block 0 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
12	blk.0.ffn_up.weight	Block 0 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
13	blk.0.post_attention_norm.weight	Block 0 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
14	blk.0.post_ffw_norm.weight	Block 0 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.0: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 1 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
15	blk.1.attn_k.weight	Block 1 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
16	blk.1.attn_k_norm.weight	Block 1 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
17	blk.1.attn_norm.weight	Block 1 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
18	blk.1.attn_output.weight	Block 1 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
19	blk.1.attn_q.weight	Block 1 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
20	blk.1.attn_q_norm.weight	Block 1 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
21	blk.1.attn_v.weight	Block 1 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
22	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
23	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
24	blk.1.ffn_norm.weight	Block 1 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
25	blk.1.ffn_up.weight	Block 1 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
26	blk.1.post_attention_norm.weight	Block 1 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
27	blk.1.post_ffw_norm.weight	Block 1 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.1: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 2 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
28	blk.2.attn_k.weight	Block 2 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
29	blk.2.attn_k_norm.weight	Block 2 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
30	blk.2.attn_norm.weight	Block 2 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
31	blk.2.attn_output.weight	Block 2 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
32	blk.2.attn_q.weight	Block 2 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
33	blk.2.attn_q_norm.weight	Block 2 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
34	blk.2.attn_v.weight	Block 2 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
35	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
36	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
37	blk.2.ffn_norm.weight	Block 2 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
38	blk.2.ffn_up.weight	Block 2 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
39	blk.2.post_attention_norm.weight	Block 2 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
40	blk.2.post_ffw_norm.weight	Block 2 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.2: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 3 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
41	blk.3.attn_k.weight	Block 3 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
42	blk.3.attn_k_norm.weight	Block 3 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
43	blk.3.attn_norm.weight	Block 3 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
44	blk.3.attn_output.weight	Block 3 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
45	blk.3.attn_q.weight	Block 3 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
46	blk.3.attn_q_norm.weight	Block 3 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
47	blk.3.attn_v.weight	Block 3 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
48	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
49	blk.3.ffn_gate.weight	Block 3 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
50	blk.3.ffn_norm.weight	Block 3 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
51	blk.3.ffn_up.weight	Block 3 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
52	blk.3.post_attention_norm.weight	Block 3 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
53	blk.3.post_ffw_norm.weight	Block 3 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.3: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 4 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
54	blk.4.attn_k.weight	Block 4 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
55	blk.4.attn_k_norm.weight	Block 4 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
56	blk.4.attn_norm.weight	Block 4 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
57	blk.4.attn_output.weight	Block 4 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
58	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
59	blk.4.attn_q_norm.weight	Block 4 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
60	blk.4.attn_v.weight	Block 4 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
61	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
62	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
63	blk.4.ffn_norm.weight	Block 4 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
64	blk.4.ffn_up.weight	Block 4 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
65	blk.4.post_attention_norm.weight	Block 4 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
66	blk.4.post_ffw_norm.weight	Block 4 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.4: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 5 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
67	blk.5.attn_k.weight	Block 5 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
68	blk.5.attn_k_norm.weight	Block 5 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
69	blk.5.attn_norm.weight	Block 5 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
70	blk.5.attn_output.weight	Block 5 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
71	blk.5.attn_q.weight	Block 5 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
72	blk.5.attn_q_norm.weight	Block 5 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
73	blk.5.attn_v.weight	Block 5 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
74	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
75	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
76	blk.5.ffn_norm.weight	Block 5 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
77	blk.5.ffn_up.weight	Block 5 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
78	blk.5.post_attention_norm.weight	Block 5 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
79	blk.5.post_ffw_norm.weight	Block 5 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.5: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 6 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
80	blk.6.attn_k.weight	Block 6 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
81	blk.6.attn_k_norm.weight	Block 6 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
82	blk.6.attn_norm.weight	Block 6 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
83	blk.6.attn_output.weight	Block 6 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
84	blk.6.attn_q.weight	Block 6 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
85	blk.6.attn_q_norm.weight	Block 6 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
86	blk.6.attn_v.weight	Block 6 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
87	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
88	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
89	blk.6.ffn_norm.weight	Block 6 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
90	blk.6.ffn_up.weight	Block 6 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
91	blk.6.post_attention_norm.weight	Block 6 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
92	blk.6.post_ffw_norm.weight	Block 6 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.6: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 7 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
93	blk.7.attn_k.weight	Block 7 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
94	blk.7.attn_k_norm.weight	Block 7 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
95	blk.7.attn_norm.weight	Block 7 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
96	blk.7.attn_output.weight	Block 7 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
97	blk.7.attn_q.weight	Block 7 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
98	blk.7.attn_q_norm.weight	Block 7 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
99	blk.7.attn_v.weight	Block 7 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
100	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
101	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
102	blk.7.ffn_norm.weight	Block 7 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
103	blk.7.ffn_up.weight	Block 7 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
104	blk.7.post_attention_norm.weight	Block 7 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
105	blk.7.post_ffw_norm.weight	Block 7 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.7: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 8 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
106	blk.8.attn_k.weight	Block 8 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
107	blk.8.attn_k_norm.weight	Block 8 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
108	blk.8.attn_norm.weight	Block 8 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
109	blk.8.attn_output.weight	Block 8 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
110	blk.8.attn_q.weight	Block 8 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
111	blk.8.attn_q_norm.weight	Block 8 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
112	blk.8.attn_v.weight	Block 8 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
113	blk.8.ffn_down.weight	Block 8 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
114	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
115	blk.8.ffn_norm.weight	Block 8 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
116	blk.8.ffn_up.weight	Block 8 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
117	blk.8.post_attention_norm.weight	Block 8 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
118	blk.8.post_ffw_norm.weight	Block 8 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.8: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 9 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
119	blk.9.attn_k.weight	Block 9 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
120	blk.9.attn_k_norm.weight	Block 9 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
121	blk.9.attn_norm.weight	Block 9 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
122	blk.9.attn_output.weight	Block 9 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
123	blk.9.attn_q.weight	Block 9 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
124	blk.9.attn_q_norm.weight	Block 9 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
125	blk.9.attn_v.weight	Block 9 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
126	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
127	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
128	blk.9.ffn_norm.weight	Block 9 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
129	blk.9.ffn_up.weight	Block 9 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
130	blk.9.post_attention_norm.weight	Block 9 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
131	blk.9.post_ffw_norm.weight	Block 9 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.9: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 10 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
132	blk.10.attn_k.weight	Block 10 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
133	blk.10.attn_k_norm.weight	Block 10 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
134	blk.10.attn_norm.weight	Block 10 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
135	blk.10.attn_output.weight	Block 10 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
136	blk.10.attn_q.weight	Block 10 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
137	blk.10.attn_q_norm.weight	Block 10 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
138	blk.10.attn_v.weight	Block 10 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
139	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
140	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
141	blk.10.ffn_norm.weight	Block 10 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
142	blk.10.ffn_up.weight	Block 10 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
143	blk.10.post_attention_norm.weight	Block 10 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
144	blk.10.post_ffw_norm.weight	Block 10 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.10: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 11 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
145	blk.11.attn_k.weight	Block 11 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
146	blk.11.attn_k_norm.weight	Block 11 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
147	blk.11.attn_norm.weight	Block 11 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
148	blk.11.attn_output.weight	Block 11 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
149	blk.11.attn_q.weight	Block 11 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
150	blk.11.attn_q_norm.weight	Block 11 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
151	blk.11.attn_v.weight	Block 11 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
152	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
153	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
154	blk.11.ffn_norm.weight	Block 11 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
155	blk.11.ffn_up.weight	Block 11 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
156	blk.11.post_attention_norm.weight	Block 11 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
157	blk.11.post_ffw_norm.weight	Block 11 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.11: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 12 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
158	blk.12.attn_k.weight	Block 12 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
159	blk.12.attn_k_norm.weight	Block 12 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
160	blk.12.attn_norm.weight	Block 12 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
161	blk.12.attn_output.weight	Block 12 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
162	blk.12.attn_q.weight	Block 12 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
163	blk.12.attn_q_norm.weight	Block 12 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
164	blk.12.attn_v.weight	Block 12 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
165	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
166	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
167	blk.12.ffn_norm.weight	Block 12 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
168	blk.12.ffn_up.weight	Block 12 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
169	blk.12.post_attention_norm.weight	Block 12 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
170	blk.12.post_ffw_norm.weight	Block 12 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.12: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 13 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
171	blk.13.attn_k.weight	Block 13 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
172	blk.13.attn_k_norm.weight	Block 13 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
173	blk.13.attn_norm.weight	Block 13 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
174	blk.13.attn_output.weight	Block 13 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
175	blk.13.attn_q.weight	Block 13 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
176	blk.13.attn_q_norm.weight	Block 13 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
177	blk.13.attn_v.weight	Block 13 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
178	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
179	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
180	blk.13.ffn_norm.weight	Block 13 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
181	blk.13.ffn_up.weight	Block 13 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
182	blk.13.post_attention_norm.weight	Block 13 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
183	blk.13.post_ffw_norm.weight	Block 13 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.13: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 14 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
184	blk.14.attn_k.weight	Block 14 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
185	blk.14.attn_k_norm.weight	Block 14 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
186	blk.14.attn_norm.weight	Block 14 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
187	blk.14.attn_output.weight	Block 14 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
188	blk.14.attn_q.weight	Block 14 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
189	blk.14.attn_q_norm.weight	Block 14 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
190	blk.14.attn_v.weight	Block 14 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
191	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
192	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
193	blk.14.ffn_norm.weight	Block 14 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
194	blk.14.ffn_up.weight	Block 14 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
195	blk.14.post_attention_norm.weight	Block 14 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
196	blk.14.post_ffw_norm.weight	Block 14 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.14: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 15 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
197	blk.15.attn_k.weight	Block 15 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
198	blk.15.attn_k_norm.weight	Block 15 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
199	blk.15.attn_norm.weight	Block 15 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
200	blk.15.attn_output.weight	Block 15 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
201	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
202	blk.15.attn_q_norm.weight	Block 15 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
203	blk.15.attn_v.weight	Block 15 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
204	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
205	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
206	blk.15.ffn_norm.weight	Block 15 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
207	blk.15.ffn_up.weight	Block 15 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
208	blk.15.post_attention_norm.weight	Block 15 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
209	blk.15.post_ffw_norm.weight	Block 15 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.15: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 16 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
210	blk.16.attn_k.weight	Block 16 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
211	blk.16.attn_k_norm.weight	Block 16 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
212	blk.16.attn_norm.weight	Block 16 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
213	blk.16.attn_output.weight	Block 16 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
214	blk.16.attn_q.weight	Block 16 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
215	blk.16.attn_q_norm.weight	Block 16 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
216	blk.16.attn_v.weight	Block 16 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
217	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
218	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
219	blk.16.ffn_norm.weight	Block 16 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
220	blk.16.ffn_up.weight	Block 16 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
221	blk.16.post_attention_norm.weight	Block 16 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
222	blk.16.post_ffw_norm.weight	Block 16 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.16: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 17 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
223	blk.17.attn_k.weight	Block 17 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
224	blk.17.attn_k_norm.weight	Block 17 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
225	blk.17.attn_norm.weight	Block 17 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
226	blk.17.attn_output.weight	Block 17 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
227	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
228	blk.17.attn_q_norm.weight	Block 17 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
229	blk.17.attn_v.weight	Block 17 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
230	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
231	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
232	blk.17.ffn_norm.weight	Block 17 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
233	blk.17.ffn_up.weight	Block 17 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
234	blk.17.post_attention_norm.weight	Block 17 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
235	blk.17.post_ffw_norm.weight	Block 17 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.17: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 18 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
236	blk.18.attn_k.weight	Block 18 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
237	blk.18.attn_k_norm.weight	Block 18 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
238	blk.18.attn_norm.weight	Block 18 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
239	blk.18.attn_output.weight	Block 18 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
240	blk.18.attn_q.weight	Block 18 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
241	blk.18.attn_q_norm.weight	Block 18 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
242	blk.18.attn_v.weight	Block 18 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
243	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
244	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
245	blk.18.ffn_norm.weight	Block 18 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
246	blk.18.ffn_up.weight	Block 18 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
247	blk.18.post_attention_norm.weight	Block 18 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
248	blk.18.post_ffw_norm.weight	Block 18 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.18: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 19 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
249	blk.19.attn_k.weight	Block 19 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
250	blk.19.attn_k_norm.weight	Block 19 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
251	blk.19.attn_norm.weight	Block 19 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
252	blk.19.attn_output.weight	Block 19 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
253	blk.19.attn_q.weight	Block 19 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
254	blk.19.attn_q_norm.weight	Block 19 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
255	blk.19.attn_v.weight	Block 19 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
256	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
257	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
258	blk.19.ffn_norm.weight	Block 19 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
259	blk.19.ffn_up.weight	Block 19 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
260	blk.19.post_attention_norm.weight	Block 19 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
261	blk.19.post_ffw_norm.weight	Block 19 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.19: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 20 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
262	blk.20.attn_k.weight	Block 20 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
263	blk.20.attn_k_norm.weight	Block 20 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
264	blk.20.attn_norm.weight	Block 20 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
265	blk.20.attn_output.weight	Block 20 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
266	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
267	blk.20.attn_q_norm.weight	Block 20 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
268	blk.20.attn_v.weight	Block 20 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
269	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
270	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
271	blk.20.ffn_norm.weight	Block 20 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
272	blk.20.ffn_up.weight	Block 20 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
273	blk.20.post_attention_norm.weight	Block 20 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
274	blk.20.post_ffw_norm.weight	Block 20 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.20: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 21 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
275	blk.21.attn_k.weight	Block 21 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
276	blk.21.attn_k_norm.weight	Block 21 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
277	blk.21.attn_norm.weight	Block 21 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
278	blk.21.attn_output.weight	Block 21 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
279	blk.21.attn_q.weight	Block 21 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
280	blk.21.attn_q_norm.weight	Block 21 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
281	blk.21.attn_v.weight	Block 21 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
282	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
283	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
284	blk.21.ffn_norm.weight	Block 21 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
285	blk.21.ffn_up.weight	Block 21 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
286	blk.21.post_attention_norm.weight	Block 21 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
287	blk.21.post_ffw_norm.weight	Block 21 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.21: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 22 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
288	blk.22.attn_k.weight	Block 22 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
289	blk.22.attn_k_norm.weight	Block 22 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
290	blk.22.attn_norm.weight	Block 22 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
291	blk.22.attn_output.weight	Block 22 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
292	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
293	blk.22.attn_q_norm.weight	Block 22 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
294	blk.22.attn_v.weight	Block 22 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
295	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
296	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
297	blk.22.ffn_norm.weight	Block 22 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
298	blk.22.ffn_up.weight	Block 22 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
299	blk.22.post_attention_norm.weight	Block 22 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
300	blk.22.post_ffw_norm.weight	Block 22 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.22: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 23 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
301	blk.23.attn_k.weight	Block 23 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
302	blk.23.attn_k_norm.weight	Block 23 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
303	blk.23.attn_norm.weight	Block 23 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
304	blk.23.attn_output.weight	Block 23 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
305	blk.23.attn_q.weight	Block 23 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
306	blk.23.attn_q_norm.weight	Block 23 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
307	blk.23.attn_v.weight	Block 23 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
308	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
309	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
310	blk.23.ffn_norm.weight	Block 23 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
311	blk.23.ffn_up.weight	Block 23 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
312	blk.23.post_attention_norm.weight	Block 23 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
313	blk.23.post_ffw_norm.weight	Block 23 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.23: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 24 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
314	blk.24.attn_k.weight	Block 24 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
315	blk.24.attn_k_norm.weight	Block 24 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
316	blk.24.attn_norm.weight	Block 24 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
317	blk.24.attn_output.weight	Block 24 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
318	blk.24.attn_q.weight	Block 24 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
319	blk.24.attn_q_norm.weight	Block 24 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
320	blk.24.attn_v.weight	Block 24 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
321	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
322	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
323	blk.24.ffn_norm.weight	Block 24 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
324	blk.24.ffn_up.weight	Block 24 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
325	blk.24.post_attention_norm.weight	Block 24 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
326	blk.24.post_ffw_norm.weight	Block 24 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.24: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 25 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
327	blk.25.attn_k.weight	Block 25 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
328	blk.25.attn_k_norm.weight	Block 25 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
329	blk.25.attn_norm.weight	Block 25 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
330	blk.25.attn_output.weight	Block 25 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
331	blk.25.attn_q.weight	Block 25 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
332	blk.25.attn_q_norm.weight	Block 25 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
333	blk.25.attn_v.weight	Block 25 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
334	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
335	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
336	blk.25.ffn_norm.weight	Block 25 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
337	blk.25.ffn_up.weight	Block 25 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
338	blk.25.post_attention_norm.weight	Block 25 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
339	blk.25.post_ffw_norm.weight	Block 25 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.25: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 26 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
340	blk.26.attn_k.weight	Block 26 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
341	blk.26.attn_k_norm.weight	Block 26 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
342	blk.26.attn_norm.weight	Block 26 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
343	blk.26.attn_output.weight	Block 26 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
344	blk.26.attn_q.weight	Block 26 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
345	blk.26.attn_q_norm.weight	Block 26 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
346	blk.26.attn_v.weight	Block 26 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
347	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
348	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
349	blk.26.ffn_norm.weight	Block 26 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
350	blk.26.ffn_up.weight	Block 26 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
351	blk.26.post_attention_norm.weight	Block 26 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
352	blk.26.post_ffw_norm.weight	Block 26 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.26: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 27 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
353	blk.27.attn_k.weight	Block 27 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
354	blk.27.attn_k_norm.weight	Block 27 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
355	blk.27.attn_norm.weight	Block 27 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
356	blk.27.attn_output.weight	Block 27 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
357	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
358	blk.27.attn_q_norm.weight	Block 27 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
359	blk.27.attn_v.weight	Block 27 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
360	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
361	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
362	blk.27.ffn_norm.weight	Block 27 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
363	blk.27.ffn_up.weight	Block 27 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
364	blk.27.post_attention_norm.weight	Block 27 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
365	blk.27.post_ffw_norm.weight	Block 27 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.27: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 28 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
366	blk.28.attn_k.weight	Block 28 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
367	blk.28.attn_k_norm.weight	Block 28 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
368	blk.28.attn_norm.weight	Block 28 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
369	blk.28.attn_output.weight	Block 28 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
370	blk.28.attn_q.weight	Block 28 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
371	blk.28.attn_q_norm.weight	Block 28 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
372	blk.28.attn_v.weight	Block 28 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
373	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
374	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
375	blk.28.ffn_norm.weight	Block 28 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
376	blk.28.ffn_up.weight	Block 28 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
377	blk.28.post_attention_norm.weight	Block 28 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
378	blk.28.post_ffw_norm.weight	Block 28 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.28: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 29 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
379	blk.29.attn_k.weight	Block 29 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
380	blk.29.attn_k_norm.weight	Block 29 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
381	blk.29.attn_norm.weight	Block 29 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
382	blk.29.attn_output.weight	Block 29 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
383	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
384	blk.29.attn_q_norm.weight	Block 29 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
385	blk.29.attn_v.weight	Block 29 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
386	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
387	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
388	blk.29.ffn_norm.weight	Block 29 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
389	blk.29.ffn_up.weight	Block 29 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
390	blk.29.post_attention_norm.weight	Block 29 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
391	blk.29.post_ffw_norm.weight	Block 29 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.29: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 30 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
392	blk.30.attn_k.weight	Block 30 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
393	blk.30.attn_k_norm.weight	Block 30 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
394	blk.30.attn_norm.weight	Block 30 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
395	blk.30.attn_output.weight	Block 30 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
396	blk.30.attn_q.weight	Block 30 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
397	blk.30.attn_q_norm.weight	Block 30 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
398	blk.30.attn_v.weight	Block 30 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
399	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
400	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
401	blk.30.ffn_norm.weight	Block 30 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
402	blk.30.ffn_up.weight	Block 30 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
403	blk.30.post_attention_norm.weight	Block 30 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
404	blk.30.post_ffw_norm.weight	Block 30 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.30: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 31 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
405	blk.31.attn_k.weight	Block 31 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
406	blk.31.attn_k_norm.weight	Block 31 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
407	blk.31.attn_norm.weight	Block 31 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
408	blk.31.attn_output.weight	Block 31 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
409	blk.31.attn_q.weight	Block 31 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
410	blk.31.attn_q_norm.weight	Block 31 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
411	blk.31.attn_v.weight	Block 31 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
412	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
413	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
414	blk.31.ffn_norm.weight	Block 31 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
415	blk.31.ffn_up.weight	Block 31 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
416	blk.31.post_attention_norm.weight	Block 31 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
417	blk.31.post_ffw_norm.weight	Block 31 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.31: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 32 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
418	blk.32.attn_k.weight	Block 32 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
419	blk.32.attn_k_norm.weight	Block 32 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
420	blk.32.attn_norm.weight	Block 32 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
421	blk.32.attn_output.weight	Block 32 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
422	blk.32.attn_q.weight	Block 32 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
423	blk.32.attn_q_norm.weight	Block 32 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
424	blk.32.attn_v.weight	Block 32 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
425	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
426	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
427	blk.32.ffn_norm.weight	Block 32 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
428	blk.32.ffn_up.weight	Block 32 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
429	blk.32.post_attention_norm.weight	Block 32 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
430	blk.32.post_ffw_norm.weight	Block 32 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.32: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 33 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
431	blk.33.attn_k.weight	Block 33 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
432	blk.33.attn_k_norm.weight	Block 33 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
433	blk.33.attn_norm.weight	Block 33 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
434	blk.33.attn_output.weight	Block 33 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
435	blk.33.attn_q.weight	Block 33 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
436	blk.33.attn_q_norm.weight	Block 33 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
437	blk.33.attn_v.weight	Block 33 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
438	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
439	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
440	blk.33.ffn_norm.weight	Block 33 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
441	blk.33.ffn_up.weight	Block 33 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
442	blk.33.post_attention_norm.weight	Block 33 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
443	blk.33.post_ffw_norm.weight	Block 33 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.33: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 34 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
444	blk.34.attn_k.weight	Block 34 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
445	blk.34.attn_k_norm.weight	Block 34 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
446	blk.34.attn_norm.weight	Block 34 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
447	blk.34.attn_output.weight	Block 34 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
448	blk.34.attn_q.weight	Block 34 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
449	blk.34.attn_q_norm.weight	Block 34 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
450	blk.34.attn_v.weight	Block 34 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
451	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
452	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
453	blk.34.ffn_norm.weight	Block 34 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
454	blk.34.ffn_up.weight	Block 34 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
455	blk.34.post_attention_norm.weight	Block 34 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
456	blk.34.post_ffw_norm.weight	Block 34 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.34: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 35 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
457	blk.35.attn_k.weight	Block 35 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
458	blk.35.attn_k_norm.weight	Block 35 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
459	blk.35.attn_norm.weight	Block 35 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
460	blk.35.attn_output.weight	Block 35 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
461	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
462	blk.35.attn_q_norm.weight	Block 35 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
463	blk.35.attn_v.weight	Block 35 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
464	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
465	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
466	blk.35.ffn_norm.weight	Block 35 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
467	blk.35.ffn_up.weight	Block 35 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
468	blk.35.post_attention_norm.weight	Block 35 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
469	blk.35.post_ffw_norm.weight	Block 35 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.35: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 36 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
470	blk.36.attn_k.weight	Block 36 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
471	blk.36.attn_k_norm.weight	Block 36 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
472	blk.36.attn_norm.weight	Block 36 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
473	blk.36.attn_output.weight	Block 36 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
474	blk.36.attn_q.weight	Block 36 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
475	blk.36.attn_q_norm.weight	Block 36 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
476	blk.36.attn_v.weight	Block 36 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
477	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
478	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
479	blk.36.ffn_norm.weight	Block 36 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
480	blk.36.ffn_up.weight	Block 36 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
481	blk.36.post_attention_norm.weight	Block 36 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
482	blk.36.post_ffw_norm.weight	Block 36 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.36: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 37 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
483	blk.37.attn_k.weight	Block 37 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
484	blk.37.attn_k_norm.weight	Block 37 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
485	blk.37.attn_norm.weight	Block 37 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
486	blk.37.attn_output.weight	Block 37 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
487	blk.37.attn_q.weight	Block 37 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
488	blk.37.attn_q_norm.weight	Block 37 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
489	blk.37.attn_v.weight	Block 37 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
490	blk.37.ffn_down.weight	Block 37 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
491	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
492	blk.37.ffn_norm.weight	Block 37 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
493	blk.37.ffn_up.weight	Block 37 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
494	blk.37.post_attention_norm.weight	Block 37 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
495	blk.37.post_ffw_norm.weight	Block 37 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.37: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 38 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
496	blk.38.attn_k.weight	Block 38 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
497	blk.38.attn_k_norm.weight	Block 38 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
498	blk.38.attn_norm.weight	Block 38 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
499	blk.38.attn_output.weight	Block 38 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
500	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
501	blk.38.attn_q_norm.weight	Block 38 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
502	blk.38.attn_v.weight	Block 38 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
503	blk.38.ffn_down.weight	Block 38 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
504	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
505	blk.38.ffn_norm.weight	Block 38 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
506	blk.38.ffn_up.weight	Block 38 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
507	blk.38.post_attention_norm.weight	Block 38 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
508	blk.38.post_ffw_norm.weight	Block 38 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.38: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 39 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
509	blk.39.attn_k.weight	Block 39 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
510	blk.39.attn_k_norm.weight	Block 39 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
511	blk.39.attn_norm.weight	Block 39 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
512	blk.39.attn_output.weight	Block 39 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
513	blk.39.attn_q.weight	Block 39 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
514	blk.39.attn_q_norm.weight	Block 39 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
515	blk.39.attn_v.weight	Block 39 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
516	blk.39.ffn_down.weight	Block 39 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
517	blk.39.ffn_gate.weight	Block 39 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
518	blk.39.ffn_norm.weight	Block 39 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
519	blk.39.ffn_up.weight	Block 39 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
520	blk.39.post_attention_norm.weight	Block 39 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
521	blk.39.post_ffw_norm.weight	Block 39 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.39: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 40 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
522	blk.40.attn_k.weight	Block 40 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
523	blk.40.attn_k_norm.weight	Block 40 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
524	blk.40.attn_norm.weight	Block 40 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
525	blk.40.attn_output.weight	Block 40 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
526	blk.40.attn_q.weight	Block 40 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
527	blk.40.attn_q_norm.weight	Block 40 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
528	blk.40.attn_v.weight	Block 40 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
529	blk.40.ffn_down.weight	Block 40 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
530	blk.40.ffn_gate.weight	Block 40 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
531	blk.40.ffn_norm.weight	Block 40 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
532	blk.40.ffn_up.weight	Block 40 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
533	blk.40.post_attention_norm.weight	Block 40 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
534	blk.40.post_ffw_norm.weight	Block 40 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.40: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 41 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
535	blk.41.attn_k.weight	Block 41 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
536	blk.41.attn_k_norm.weight	Block 41 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
537	blk.41.attn_norm.weight	Block 41 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
538	blk.41.attn_output.weight	Block 41 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
539	blk.41.attn_q.weight	Block 41 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
540	blk.41.attn_q_norm.weight	Block 41 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
541	blk.41.attn_v.weight	Block 41 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
542	blk.41.ffn_down.weight	Block 41 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
543	blk.41.ffn_gate.weight	Block 41 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
544	blk.41.ffn_norm.weight	Block 41 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
545	blk.41.ffn_up.weight	Block 41 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
546	blk.41.post_attention_norm.weight	Block 41 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
547	blk.41.post_ffw_norm.weight	Block 41 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.41: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 42 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
548	blk.42.attn_k.weight	Block 42 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
549	blk.42.attn_k_norm.weight	Block 42 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
550	blk.42.attn_norm.weight	Block 42 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
551	blk.42.attn_output.weight	Block 42 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
552	blk.42.attn_q.weight	Block 42 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
553	blk.42.attn_q_norm.weight	Block 42 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
554	blk.42.attn_v.weight	Block 42 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
555	blk.42.ffn_down.weight	Block 42 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
556	blk.42.ffn_gate.weight	Block 42 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
557	blk.42.ffn_norm.weight	Block 42 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
558	blk.42.ffn_up.weight	Block 42 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
559	blk.42.post_attention_norm.weight	Block 42 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
560	blk.42.post_ffw_norm.weight	Block 42 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.42: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 43 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
561	blk.43.attn_k.weight	Block 43 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q3_K
562	blk.43.attn_k_norm.weight	Block 43 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
563	blk.43.attn_norm.weight	Block 43 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
564	blk.43.attn_output.weight	Block 43 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
565	blk.43.attn_q.weight	Block 43 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q3_K
566	blk.43.attn_q_norm.weight	Block 43 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
567	blk.43.attn_v.weight	Block 43 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
568	blk.43.ffn_down.weight	Block 43 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
569	blk.43.ffn_gate.weight	Block 43 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
570	blk.43.ffn_norm.weight	Block 43 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
571	blk.43.ffn_up.weight	Block 43 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q3_K
572	blk.43.post_attention_norm.weight	Block 43 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
573	blk.43.post_ffw_norm.weight	Block 43 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.43: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 44 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
574	blk.44.attn_k.weight	Block 44 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
575	blk.44.attn_k_norm.weight	Block 44 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
576	blk.44.attn_norm.weight	Block 44 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
577	blk.44.attn_output.weight	Block 44 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
578	blk.44.attn_q.weight	Block 44 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
579	blk.44.attn_q_norm.weight	Block 44 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
580	blk.44.attn_v.weight	Block 44 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
581	blk.44.ffn_down.weight	Block 44 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
582	blk.44.ffn_gate.weight	Block 44 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
583	blk.44.ffn_norm.weight	Block 44 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
584	blk.44.ffn_up.weight	Block 44 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
585	blk.44.post_attention_norm.weight	Block 44 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
586	blk.44.post_ffw_norm.weight	Block 44 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.44: (~224M) 224148992
• Percentage of total elements: 1.98%

Block 45 Tensor Group : ~224M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
587	blk.45.attn_k.weight	Block 45 Attention Key (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q4_K
588	blk.45.attn_k_norm.weight	Block 45 Attn_K_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
589	blk.45.attn_norm.weight	Block 45 Attention Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
590	blk.45.attn_output.weight	Block 45 Attention Output (W)	(~16M) 15728640	4096 x 3840 x 1 x 1	Q4_K
591	blk.45.attn_q.weight	Block 45 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_K
592	blk.45.attn_q_norm.weight	Block 45 Attn_Q_Norm (W)	( 256) 256	256 x 1 x 1 x 1	F32
593	blk.45.attn_v.weight	Block 45 Attention Value (W)	( ~8M) 7864320	3840 x 2048 x 1 x 1	Q5_K
594	blk.45.ffn_down.weight	Block 45 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q5_K
595	blk.45.ffn_gate.weight	Block 45 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
596	blk.45.ffn_norm.weight	Block 45 Feed-Forward Network Normalization (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
597	blk.45.ffn_up.weight	Block 45 Feed-Forward Network "Up" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_K
598	blk.45.post_attention_norm.weight	Block 45 Post_Attention_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32
599	blk.45.post_ffw_norm.weight	Block 45 Post_Ffw_Norm (W)	( ~4K) 3840	3840 x 1 x 1 x 1	F32

• Total elements in blk.45: (~224M) 224148992
• Percentage of total elements: 1.98%