gemma-3-12b-it-pruned-GGUF/scores/gemma-3-12b-it-Q5_K_S.md

gemma-3-12b-it-Q5_K_S.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	16
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-Q5_K_S.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	0x528000
3	blk.0.attn_k_norm.weight	0x1a7eaa20	0x400
4	blk.0.attn_norm.weight	0x1a7eae20	0x3c00
5	blk.0.attn_output.weight	0x1a7eea20	0xa50000
6	blk.0.attn_q.weight	0x1b23ea20	0xa50000
7	blk.0.attn_q_norm.weight	0x1bc8ea20	0x400
8	blk.0.attn_v.weight	0x1bc8ee20	0x528000
9	blk.0.ffn_down.weight	0x1c1b6e20	0x2e24800
10	blk.0.ffn_gate.weight	0x1efdb620	0x26ac000
11	blk.0.ffn_norm.weight	0x21687620	0x3c00
12	blk.0.ffn_up.weight	0x2168b220	0x26ac000
13	blk.0.post_attention_norm.weight	0x23d37220	0x3c00
14	blk.0.post_ffw_norm.weight	0x23d3ae20	0x3c00
15	blk.1.attn_k.weight	0x23d3ea20	0x438000
16	blk.1.attn_k_norm.weight	0x24176a20	0x400
17	blk.1.attn_norm.weight	0x24176e20	0x3c00
18	blk.1.attn_output.weight	0x2417aa20	0xa50000
19	blk.1.attn_q.weight	0x24bcaa20	0x870000
20	blk.1.attn_q_norm.weight	0x2543aa20	0x400
21	blk.1.attn_v.weight	0x2543ae20	0x438000
22	blk.1.ffn_down.weight	0x25872e20	0x2e24800
23	blk.1.ffn_gate.weight	0x28697620	0x1fa4000
24	blk.1.ffn_norm.weight	0x2a63b620	0x3c00
25	blk.1.ffn_up.weight	0x2a63f220	0x1fa4000
26	blk.1.post_attention_norm.weight	0x2c5e3220	0x3c00
27	blk.1.post_ffw_norm.weight	0x2c5e6e20	0x3c00
28	blk.2.attn_k.weight	0x2c5eaa20	0x528000
29	blk.2.attn_k_norm.weight	0x2cb12a20	0x400
30	blk.2.attn_norm.weight	0x2cb12e20	0x3c00
31	blk.2.attn_output.weight	0x2cb16a20	0xa50000
32	blk.2.attn_q.weight	0x2d566a20	0xa50000
33	blk.2.attn_q_norm.weight	0x2dfb6a20	0x400
34	blk.2.attn_v.weight	0x2dfb6e20	0x528000
35	blk.2.ffn_down.weight	0x2e4dee20	0x2e24800
36	blk.2.ffn_gate.weight	0x31303620	0x26ac000
37	blk.2.ffn_norm.weight	0x339af620	0x3c00
38	blk.2.ffn_up.weight	0x339b3220	0x26ac000
39	blk.2.post_attention_norm.weight	0x3605f220	0x3c00
40	blk.2.post_ffw_norm.weight	0x36062e20	0x3c00
41	blk.3.attn_k.weight	0x36066a20	0x438000
42	blk.3.attn_k_norm.weight	0x3649ea20	0x400
43	blk.3.attn_norm.weight	0x3649ee20	0x3c00
44	blk.3.attn_output.weight	0x364a2a20	0xa50000
45	blk.3.attn_q.weight	0x36ef2a20	0x870000
46	blk.3.attn_q_norm.weight	0x37762a20	0x400
47	blk.3.attn_v.weight	0x37762e20	0x438000
48	blk.3.ffn_down.weight	0x37b9ae20	0x2e24800
49	blk.3.ffn_gate.weight	0x3a9bf620	0x1fa4000
50	blk.3.ffn_norm.weight	0x3c963620	0x3c00
51	blk.3.ffn_up.weight	0x3c967220	0x1fa4000
52	blk.3.post_attention_norm.weight	0x3e90b220	0x3c00
53	blk.3.post_ffw_norm.weight	0x3e90ee20	0x3c00
54	blk.4.attn_k.weight	0x3e912a20	0x528000
55	blk.4.attn_k_norm.weight	0x3ee3aa20	0x400
56	blk.4.attn_norm.weight	0x3ee3ae20	0x3c00
57	blk.4.attn_output.weight	0x3ee3ea20	0xa50000
58	blk.4.attn_q.weight	0x3f88ea20	0xa50000
59	blk.4.attn_q_norm.weight	0x402dea20	0x400
60	blk.4.attn_v.weight	0x402dee20	0x528000
61	blk.4.ffn_down.weight	0x40806e20	0x2e24800
62	blk.4.ffn_gate.weight	0x4362b620	0x26ac000
63	blk.4.ffn_norm.weight	0x45cd7620	0x3c00
64	blk.4.ffn_up.weight	0x45cdb220	0x26ac000
65	blk.4.post_attention_norm.weight	0x48387220	0x3c00
66	blk.4.post_ffw_norm.weight	0x4838ae20	0x3c00
67	blk.5.attn_k.weight	0x4838ea20	0x528000
68	blk.5.attn_k_norm.weight	0x488b6a20	0x400
69	blk.5.attn_norm.weight	0x488b6e20	0x3c00
70	blk.5.attn_output.weight	0x488baa20	0xa50000
71	blk.5.attn_q.weight	0x4930aa20	0xa50000
72	blk.5.attn_q_norm.weight	0x49d5aa20	0x400
73	blk.5.attn_v.weight	0x49d5ae20	0x528000
74	blk.5.ffn_down.weight	0x4a282e20	0x2e24800
75	blk.5.ffn_gate.weight	0x4d0a7620	0x26ac000
76	blk.5.ffn_norm.weight	0x4f753620	0x3c00
77	blk.5.ffn_up.weight	0x4f757220	0x26ac000
78	blk.5.post_attention_norm.weight	0x51e03220	0x3c00
79	blk.5.post_ffw_norm.weight	0x51e06e20	0x3c00
80	blk.6.attn_k.weight	0x51e0aa20	0x528000
81	blk.6.attn_k_norm.weight	0x52332a20	0x400
82	blk.6.attn_norm.weight	0x52332e20	0x3c00
83	blk.6.attn_output.weight	0x52336a20	0xa50000
84	blk.6.attn_q.weight	0x52d86a20	0xa50000
85	blk.6.attn_q_norm.weight	0x537d6a20	0x400
86	blk.6.attn_v.weight	0x537d6e20	0x528000
87	blk.6.ffn_down.weight	0x53cfee20	0x2e24800
88	blk.6.ffn_gate.weight	0x56b23620	0x26ac000
89	blk.6.ffn_norm.weight	0x591cf620	0x3c00
90	blk.6.ffn_up.weight	0x591d3220	0x26ac000
91	blk.6.post_attention_norm.weight	0x5b87f220	0x3c00
92	blk.6.post_ffw_norm.weight	0x5b882e20	0x3c00
93	blk.7.attn_k.weight	0x5b886a20	0x528000
94	blk.7.attn_k_norm.weight	0x5bdaea20	0x400
95	blk.7.attn_norm.weight	0x5bdaee20	0x3c00
96	blk.7.attn_output.weight	0x5bdb2a20	0xa50000
97	blk.7.attn_q.weight	0x5c802a20	0xa50000
98	blk.7.attn_q_norm.weight	0x5d252a20	0x400
99	blk.7.attn_v.weight	0x5d252e20	0x528000
100	blk.7.ffn_down.weight	0x5d77ae20	0x2e24800
101	blk.7.ffn_gate.weight	0x6059f620	0x26ac000
102	blk.7.ffn_norm.weight	0x62c4b620	0x3c00
103	blk.7.ffn_up.weight	0x62c4f220	0x26ac000
104	blk.7.post_attention_norm.weight	0x652fb220	0x3c00
105	blk.7.post_ffw_norm.weight	0x652fee20	0x3c00
106	blk.8.attn_k.weight	0x65302a20	0x528000
107	blk.8.attn_k_norm.weight	0x6582aa20	0x400
108	blk.8.attn_norm.weight	0x6582ae20	0x3c00
109	blk.8.attn_output.weight	0x6582ea20	0xa50000
110	blk.8.attn_q.weight	0x6627ea20	0xa50000
111	blk.8.attn_q_norm.weight	0x66ccea20	0x400
112	blk.8.attn_v.weight	0x66ccee20	0x528000
113	blk.8.ffn_down.weight	0x671f6e20	0x2e24800
114	blk.8.ffn_gate.weight	0x6a01b620	0x26ac000
115	blk.8.ffn_norm.weight	0x6c6c7620	0x3c00
116	blk.8.ffn_up.weight	0x6c6cb220	0x26ac000
117	blk.8.post_attention_norm.weight	0x6ed77220	0x3c00
118	blk.8.post_ffw_norm.weight	0x6ed7ae20	0x3c00
119	blk.9.attn_k.weight	0x6ed7ea20	0x438000
120	blk.9.attn_k_norm.weight	0x6f1b6a20	0x400
121	blk.9.attn_norm.weight	0x6f1b6e20	0x3c00
122	blk.9.attn_output.weight	0x6f1baa20	0xa50000
123	blk.9.attn_q.weight	0x6fc0aa20	0x870000
124	blk.9.attn_q_norm.weight	0x7047aa20	0x400
125	blk.9.attn_v.weight	0x7047ae20	0x438000
126	blk.9.ffn_down.weight	0x708b2e20	0x2e24800
127	blk.9.ffn_gate.weight	0x736d7620	0x1fa4000
128	blk.9.ffn_norm.weight	0x7567b620	0x3c00
129	blk.9.ffn_up.weight	0x7567f220	0x1fa4000
130	blk.9.post_attention_norm.weight	0x77623220	0x3c00
131	blk.9.post_ffw_norm.weight	0x77626e20	0x3c00
132	blk.10.attn_k.weight	0x7762aa20	0x438000
133	blk.10.attn_k_norm.weight	0x77a62a20	0x400
134	blk.10.attn_norm.weight	0x77a62e20	0x3c00
135	blk.10.attn_output.weight	0x77a66a20	0xa50000
136	blk.10.attn_q.weight	0x784b6a20	0x870000
137	blk.10.attn_q_norm.weight	0x78d26a20	0x400
138	blk.10.attn_v.weight	0x78d26e20	0x438000
139	blk.10.ffn_down.weight	0x7915ee20	0x2e24800
140	blk.10.ffn_gate.weight	0x7bf83620	0x1fa4000
141	blk.10.ffn_norm.weight	0x7df27620	0x3c00
142	blk.10.ffn_up.weight	0x7df2b220	0x1fa4000
143	blk.10.post_attention_norm.weight	0x7fecf220	0x3c00
144	blk.10.post_ffw_norm.weight	0x7fed2e20	0x3c00
145	blk.11.attn_k.weight	0x7fed6a20	0x438000
146	blk.11.attn_k_norm.weight	0x8030ea20	0x400
147	blk.11.attn_norm.weight	0x8030ee20	0x3c00
148	blk.11.attn_output.weight	0x80312a20	0xa50000
149	blk.11.attn_q.weight	0x80d62a20	0x870000
150	blk.11.attn_q_norm.weight	0x815d2a20	0x400
151	blk.11.attn_v.weight	0x815d2e20	0x438000
152	blk.11.ffn_down.weight	0x81a0ae20	0x2e24800
153	blk.11.ffn_gate.weight	0x8482f620	0x1fa4000
154	blk.11.ffn_norm.weight	0x867d3620	0x3c00
155	blk.11.ffn_up.weight	0x867d7220	0x1fa4000
156	blk.11.post_attention_norm.weight	0x8877b220	0x3c00
157	blk.11.post_ffw_norm.weight	0x8877ee20	0x3c00
158	blk.12.attn_k.weight	0x88782a20	0x438000
159	blk.12.attn_k_norm.weight	0x88bbaa20	0x400
160	blk.12.attn_norm.weight	0x88bbae20	0x3c00
161	blk.12.attn_output.weight	0x88bbea20	0xa50000
162	blk.12.attn_q.weight	0x8960ea20	0x870000
163	blk.12.attn_q_norm.weight	0x89e7ea20	0x400
164	blk.12.attn_v.weight	0x89e7ee20	0x438000
165	blk.12.ffn_down.weight	0x8a2b6e20	0x2e24800
166	blk.12.ffn_gate.weight	0x8d0db620	0x1fa4000
167	blk.12.ffn_norm.weight	0x8f07f620	0x3c00
168	blk.12.ffn_up.weight	0x8f083220	0x1fa4000
169	blk.12.post_attention_norm.weight	0x91027220	0x3c00
170	blk.12.post_ffw_norm.weight	0x9102ae20	0x3c00
171	blk.13.attn_k.weight	0x9102ea20	0x438000
172	blk.13.attn_k_norm.weight	0x91466a20	0x400
173	blk.13.attn_norm.weight	0x91466e20	0x3c00
174	blk.13.attn_output.weight	0x9146aa20	0xa50000
175	blk.13.attn_q.weight	0x91ebaa20	0x870000
176	blk.13.attn_q_norm.weight	0x9272aa20	0x400
177	blk.13.attn_v.weight	0x9272ae20	0x438000
178	blk.13.ffn_down.weight	0x92b62e20	0x2e24800
179	blk.13.ffn_gate.weight	0x95987620	0x1fa4000
180	blk.13.ffn_norm.weight	0x9792b620	0x3c00
181	blk.13.ffn_up.weight	0x9792f220	0x1fa4000
182	blk.13.post_attention_norm.weight	0x998d3220	0x3c00
183	blk.13.post_ffw_norm.weight	0x998d6e20	0x3c00
184	blk.14.attn_k.weight	0x998daa20	0x438000
185	blk.14.attn_k_norm.weight	0x99d12a20	0x400
186	blk.14.attn_norm.weight	0x99d12e20	0x3c00
187	blk.14.attn_output.weight	0x99d16a20	0xa50000
188	blk.14.attn_q.weight	0x9a766a20	0x870000
189	blk.14.attn_q_norm.weight	0x9afd6a20	0x400
190	blk.14.attn_v.weight	0x9afd6e20	0x438000
191	blk.14.ffn_down.weight	0x9b40ee20	0x2e24800
192	blk.14.ffn_gate.weight	0x9e233620	0x1fa4000
193	blk.14.ffn_norm.weight	0xa01d7620	0x3c00
194	blk.14.ffn_up.weight	0xa01db220	0x1fa4000
195	blk.14.post_attention_norm.weight	0xa217f220	0x3c00
196	blk.14.post_ffw_norm.weight	0xa2182e20	0x3c00
197	blk.15.attn_k.weight	0xa2186a20	0x438000
198	blk.15.attn_k_norm.weight	0xa25bea20	0x400
199	blk.15.attn_norm.weight	0xa25bee20	0x3c00
200	blk.15.attn_output.weight	0xa25c2a20	0xa50000
201	blk.15.attn_q.weight	0xa3012a20	0x870000
202	blk.15.attn_q_norm.weight	0xa3882a20	0x400
203	blk.15.attn_v.weight	0xa3882e20	0x438000
204	blk.15.ffn_down.weight	0xa3cbae20	0x2e24800
205	blk.15.ffn_gate.weight	0xa6adf620	0x1fa4000
206	blk.15.ffn_norm.weight	0xa8a83620	0x3c00
207	blk.15.ffn_up.weight	0xa8a87220	0x1fa4000
208	blk.15.post_attention_norm.weight	0xaaa2b220	0x3c00
209	blk.15.post_ffw_norm.weight	0xaaa2ee20	0x3c00
210	blk.16.attn_k.weight	0xaaa32a20	0x438000
211	blk.16.attn_k_norm.weight	0xaae6aa20	0x400
212	blk.16.attn_norm.weight	0xaae6ae20	0x3c00
213	blk.16.attn_output.weight	0xaae6ea20	0xa50000
214	blk.16.attn_q.weight	0xab8bea20	0x870000
215	blk.16.attn_q_norm.weight	0xac12ea20	0x400
216	blk.16.attn_v.weight	0xac12ee20	0x438000
217	blk.16.ffn_down.weight	0xac566e20	0x2e24800
218	blk.16.ffn_gate.weight	0xaf38b620	0x1fa4000
219	blk.16.ffn_norm.weight	0xb132f620	0x3c00
220	blk.16.ffn_up.weight	0xb1333220	0x1fa4000
221	blk.16.post_attention_norm.weight	0xb32d7220	0x3c00
222	blk.16.post_ffw_norm.weight	0xb32dae20	0x3c00
223	blk.17.attn_k.weight	0xb32dea20	0x438000
224	blk.17.attn_k_norm.weight	0xb3716a20	0x400
225	blk.17.attn_norm.weight	0xb3716e20	0x3c00
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520	blk.39.post_attention_norm.weight	0x17c18b220	0x3c00
521	blk.39.post_ffw_norm.weight	0x17c18ee20	0x3c00
522	blk.40.attn_k.weight	0x17c192a20	0x528000
523	blk.40.attn_k_norm.weight	0x17c6baa20	0x400
524	blk.40.attn_norm.weight	0x17c6bae20	0x3c00
525	blk.40.attn_output.weight	0x17c6bea20	0xa50000
526	blk.40.attn_q.weight	0x17d10ea20	0xa50000
527	blk.40.attn_q_norm.weight	0x17db5ea20	0x400
528	blk.40.attn_v.weight	0x17db5ee20	0x528000
529	blk.40.ffn_down.weight	0x17e086e20	0x2e24800
530	blk.40.ffn_gate.weight	0x180eab620	0x26ac000
531	blk.40.ffn_norm.weight	0x183557620	0x3c00
532	blk.40.ffn_up.weight	0x18355b220	0x26ac000
533	blk.40.post_attention_norm.weight	0x185c07220	0x3c00
534	blk.40.post_ffw_norm.weight	0x185c0ae20	0x3c00
535	blk.41.attn_k.weight	0x185c0ea20	0x438000
536	blk.41.attn_k_norm.weight	0x186046a20	0x400
537	blk.41.attn_norm.weight	0x186046e20	0x3c00
538	blk.41.attn_output.weight	0x18604aa20	0xa50000
539	blk.41.attn_q.weight	0x186a9aa20	0x870000
540	blk.41.attn_q_norm.weight	0x18730aa20	0x400
541	blk.41.attn_v.weight	0x18730ae20	0x438000
542	blk.41.ffn_down.weight	0x187742e20	0x2e24800
543	blk.41.ffn_gate.weight	0x18a567620	0x1fa4000
544	blk.41.ffn_norm.weight	0x18c50b620	0x3c00
545	blk.41.ffn_up.weight	0x18c50f220	0x1fa4000
546	blk.41.post_attention_norm.weight	0x18e4b3220	0x3c00
547	blk.41.post_ffw_norm.weight	0x18e4b6e20	0x3c00
548	blk.42.attn_k.weight	0x18e4baa20	0x438000
549	blk.42.attn_k_norm.weight	0x18e8f2a20	0x400
550	blk.42.attn_norm.weight	0x18e8f2e20	0x3c00
551	blk.42.attn_output.weight	0x18e8f6a20	0xa50000
552	blk.42.attn_q.weight	0x18f346a20	0x870000
553	blk.42.attn_q_norm.weight	0x18fbb6a20	0x400
554	blk.42.attn_v.weight	0x18fbb6e20	0x438000
555	blk.42.ffn_down.weight	0x18ffeee20	0x2e24800
556	blk.42.ffn_gate.weight	0x192e13620	0x1fa4000
557	blk.42.ffn_norm.weight	0x194db7620	0x3c00
558	blk.42.ffn_up.weight	0x194dbb220	0x1fa4000
559	blk.42.post_attention_norm.weight	0x196d5f220	0x3c00
560	blk.42.post_ffw_norm.weight	0x196d62e20	0x3c00
561	blk.43.attn_k.weight	0x196d66a20	0x438000
562	blk.43.attn_k_norm.weight	0x19719ea20	0x400
563	blk.43.attn_norm.weight	0x19719ee20	0x3c00
564	blk.43.attn_output.weight	0x1971a2a20	0xa50000
565	blk.43.attn_q.weight	0x197bf2a20	0x870000
566	blk.43.attn_q_norm.weight	0x198462a20	0x400
567	blk.43.attn_v.weight	0x198462e20	0x438000
568	blk.43.ffn_down.weight	0x19889ae20	0x2e24800
569	blk.43.ffn_gate.weight	0x19b6bf620	0x1fa4000
570	blk.43.ffn_norm.weight	0x19d663620	0x3c00
571	blk.43.ffn_up.weight	0x19d667220	0x1fa4000
572	blk.43.post_attention_norm.weight	0x19f60b220	0x3c00
573	blk.43.post_ffw_norm.weight	0x19f60ee20	0x3c00
574	blk.44.attn_k.weight	0x19f612a20	0x438000
575	blk.44.attn_k_norm.weight	0x19fa4aa20	0x400
576	blk.44.attn_norm.weight	0x19fa4ae20	0x3c00
577	blk.44.attn_output.weight	0x19fa4ea20	0xa50000
578	blk.44.attn_q.weight	0x1a049ea20	0x870000
579	blk.44.attn_q_norm.weight	0x1a0d0ea20	0x400
580	blk.44.attn_v.weight	0x1a0d0ee20	0x438000
581	blk.44.ffn_down.weight	0x1a1146e20	0x2e24800
582	blk.44.ffn_gate.weight	0x1a3f6b620	0x1fa4000
583	blk.44.ffn_norm.weight	0x1a5f0f620	0x3c00
584	blk.44.ffn_up.weight	0x1a5f13220	0x1fa4000
585	blk.44.post_attention_norm.weight	0x1a7eb7220	0x3c00
586	blk.44.post_ffw_norm.weight	0x1a7ebae20	0x3c00
587	blk.45.attn_k.weight	0x1a7ebea20	0x438000
588	blk.45.attn_k_norm.weight	0x1a82f6a20	0x400
589	blk.45.attn_norm.weight	0x1a82f6e20	0x3c00
590	blk.45.attn_output.weight	0x1a82faa20	0xa50000
591	blk.45.attn_q.weight	0x1a8d4aa20	0x870000
592	blk.45.attn_q_norm.weight	0x1a95baa20	0x400
593	blk.45.attn_v.weight	0x1a95bae20	0x438000
594	blk.45.ffn_down.weight	0x1a99f2e20	0x2e24800
595	blk.45.ffn_gate.weight	0x1ac817620	0x1fa4000
596	blk.45.ffn_norm.weight	0x1ae7bb620	0x3c00
597	blk.45.ffn_up.weight	0x1ae7bf220	0x1fa4000
598	blk.45.post_attention_norm.weight	0x1b0763220	0x3c00
599	blk.45.post_ffw_norm.weight	0x1b0766e20	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	Q5_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	Q5_K
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
10	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q4_K
22	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q5_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	Q5_K
32	blk.2.attn_q.weight	Block 2 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
36	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q4_K
48	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q5_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	Q5_K
58	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
62	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q5_K
71	blk.5.attn_q.weight	Block 5 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
75	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q5_K
84	blk.6.attn_q.weight	Block 6 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
88	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q5_K
97	blk.7.attn_q.weight	Block 7 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
101	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q5_K
110	blk.8.attn_q.weight	Block 8 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
114	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q4_K
126	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q5_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	Q4_K
139	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q4_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	Q5_K
149	blk.11.attn_q.weight	Block 11 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
152	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
153	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
162	blk.12.attn_q.weight	Block 12 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
165	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
166	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
175	blk.13.attn_q.weight	Block 13 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q6_K
179	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
188	blk.14.attn_q.weight	Block 14 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
191	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
192	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
201	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
204	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
205	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
214	blk.16.attn_q.weight	Block 16 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q6_K
218	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
227	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
230	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
231	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
240	blk.18.attn_q.weight	Block 18 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
243	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
244	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
253	blk.19.attn_q.weight	Block 19 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q6_K
257	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
266	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
269	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
270	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
279	blk.21.attn_q.weight	Block 21 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
282	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
283	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
292	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q6_K
296	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
305	blk.23.attn_q.weight	Block 23 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
308	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
309	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q5_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	Q5_K
318	blk.24.attn_q.weight	Block 24 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
322	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q4_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	Q5_K
331	blk.25.attn_q.weight	Block 25 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q6_K
335	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
344	blk.26.attn_q.weight	Block 26 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
347	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
348	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
357	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
360	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
361	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q5_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	Q4_K
373	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q4_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	Q5_K
383	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
386	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
387	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
396	blk.30.attn_q.weight	Block 30 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
399	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
400	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q5_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	Q4_K
412	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q5_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	Q4_K
425	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q5_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	Q4_K
438	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q5_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	Q4_K
451	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q4_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	Q5_K
461	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q4_K
464	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_K
465	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q5_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	Q4_K
477	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q5_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	Q5_K
487	blk.37.attn_q.weight	Block 37 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
491	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q5_K
500	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
504	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q5_K
513	blk.39.attn_q.weight	Block 39 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
517	blk.39.ffn_gate.weight	Block 39 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q5_K
526	blk.40.attn_q.weight	Block 40 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q6_K
530	blk.40.ffn_gate.weight	Block 40 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q4_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	Q5_K
539	blk.41.attn_q.weight	Block 41 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q6_K
543	blk.41.ffn_gate.weight	Block 41 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
552	blk.42.attn_q.weight	Block 42 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q6_K
556	blk.42.ffn_gate.weight	Block 42 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q4_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	Q5_K
565	blk.43.attn_q.weight	Block 43 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q4_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	Q6_K
569	blk.43.ffn_gate.weight	Block 43 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q4_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	Q4_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	Q5_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	Q4_K
581	blk.44.ffn_down.weight	Block 44 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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	Q5_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	Q4_K
594	blk.45.ffn_down.weight	Block 45 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q6_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%