gemma-3-12b-it-pruned-GGUF/scores/gemma-3-12b-it-Q6_K.md

gemma-3-12b-it-Q6_K.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	18
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-Q6_K.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	0x627000
3	blk.0.attn_k_norm.weight	0x1a8e9a20	0x400
4	blk.0.attn_norm.weight	0x1a8e9e20	0x3c00
5	blk.0.attn_output.weight	0x1a8eda20	0xc4e000
6	blk.0.attn_q.weight	0x1b53ba20	0xc4e000
7	blk.0.attn_q_norm.weight	0x1c189a20	0x400
8	blk.0.attn_v.weight	0x1c189e20	0x7f8000
9	blk.0.ffn_down.weight	0x1c981e20	0x3bc4000
10	blk.0.ffn_gate.weight	0x20545e20	0x2e24800
11	blk.0.ffn_norm.weight	0x2336a620	0x3c00
12	blk.0.ffn_up.weight	0x2336e220	0x2e24800
13	blk.0.post_attention_norm.weight	0x26192a20	0x3c00
14	blk.0.post_ffw_norm.weight	0x26196620	0x3c00
15	blk.1.attn_k.weight	0x2619a220	0x528000
16	blk.1.attn_k_norm.weight	0x266c2220	0x400
17	blk.1.attn_norm.weight	0x266c2620	0x3c00
18	blk.1.attn_output.weight	0x266c6220	0xc4e000
19	blk.1.attn_q.weight	0x27314220	0xa50000
20	blk.1.attn_q_norm.weight	0x27d64220	0x400
21	blk.1.attn_v.weight	0x27d64620	0x7f8000
22	blk.1.ffn_down.weight	0x2855c620	0x3bc4000
23	blk.1.ffn_gate.weight	0x2c120620	0x26ac000
24	blk.1.ffn_norm.weight	0x2e7cc620	0x3c00
25	blk.1.ffn_up.weight	0x2e7d0220	0x26ac000
26	blk.1.post_attention_norm.weight	0x30e7c220	0x3c00
27	blk.1.post_ffw_norm.weight	0x30e7fe20	0x3c00
28	blk.2.attn_k.weight	0x30e83a20	0x627000
29	blk.2.attn_k_norm.weight	0x314aaa20	0x400
30	blk.2.attn_norm.weight	0x314aae20	0x3c00
31	blk.2.attn_output.weight	0x314aea20	0xc4e000
32	blk.2.attn_q.weight	0x320fca20	0xc4e000
33	blk.2.attn_q_norm.weight	0x32d4aa20	0x400
34	blk.2.attn_v.weight	0x32d4ae20	0x7f8000
35	blk.2.ffn_down.weight	0x33542e20	0x3bc4000
36	blk.2.ffn_gate.weight	0x37106e20	0x2e24800
37	blk.2.ffn_norm.weight	0x39f2b620	0x3c00
38	blk.2.ffn_up.weight	0x39f2f220	0x2e24800
39	blk.2.post_attention_norm.weight	0x3cd53a20	0x3c00
40	blk.2.post_ffw_norm.weight	0x3cd57620	0x3c00
41	blk.3.attn_k.weight	0x3cd5b220	0x528000
42	blk.3.attn_k_norm.weight	0x3d283220	0x400
43	blk.3.attn_norm.weight	0x3d283620	0x3c00
44	blk.3.attn_output.weight	0x3d287220	0xc4e000
45	blk.3.attn_q.weight	0x3ded5220	0xa50000
46	blk.3.attn_q_norm.weight	0x3e925220	0x400
47	blk.3.attn_v.weight	0x3e925620	0x7f8000
48	blk.3.ffn_down.weight	0x3f11d620	0x3bc4000
49	blk.3.ffn_gate.weight	0x42ce1620	0x26ac000
50	blk.3.ffn_norm.weight	0x4538d620	0x3c00
51	blk.3.ffn_up.weight	0x45391220	0x26ac000
52	blk.3.post_attention_norm.weight	0x47a3d220	0x3c00
53	blk.3.post_ffw_norm.weight	0x47a40e20	0x3c00
54	blk.4.attn_k.weight	0x47a44a20	0x627000
55	blk.4.attn_k_norm.weight	0x4806ba20	0x400
56	blk.4.attn_norm.weight	0x4806be20	0x3c00
57	blk.4.attn_output.weight	0x4806fa20	0xc4e000
58	blk.4.attn_q.weight	0x48cbda20	0xc4e000
59	blk.4.attn_q_norm.weight	0x4990ba20	0x400
60	blk.4.attn_v.weight	0x4990be20	0x7f8000
61	blk.4.ffn_down.weight	0x4a103e20	0x3bc4000
62	blk.4.ffn_gate.weight	0x4dcc7e20	0x2e24800
63	blk.4.ffn_norm.weight	0x50aec620	0x3c00
64	blk.4.ffn_up.weight	0x50af0220	0x2e24800
65	blk.4.post_attention_norm.weight	0x53914a20	0x3c00
66	blk.4.post_ffw_norm.weight	0x53918620	0x3c00
67	blk.5.attn_k.weight	0x5391c220	0x627000
68	blk.5.attn_k_norm.weight	0x53f43220	0x400
69	blk.5.attn_norm.weight	0x53f43620	0x3c00
70	blk.5.attn_output.weight	0x53f47220	0xc4e000
71	blk.5.attn_q.weight	0x54b95220	0xc4e000
72	blk.5.attn_q_norm.weight	0x557e3220	0x400
73	blk.5.attn_v.weight	0x557e3620	0x7f8000
74	blk.5.ffn_down.weight	0x55fdb620	0x3bc4000
75	blk.5.ffn_gate.weight	0x59b9f620	0x2e24800
76	blk.5.ffn_norm.weight	0x5c9c3e20	0x3c00
77	blk.5.ffn_up.weight	0x5c9c7a20	0x2e24800
78	blk.5.post_attention_norm.weight	0x5f7ec220	0x3c00
79	blk.5.post_ffw_norm.weight	0x5f7efe20	0x3c00
80	blk.6.attn_k.weight	0x5f7f3a20	0x627000
81	blk.6.attn_k_norm.weight	0x5fe1aa20	0x400
82	blk.6.attn_norm.weight	0x5fe1ae20	0x3c00
83	blk.6.attn_output.weight	0x5fe1ea20	0xc4e000
84	blk.6.attn_q.weight	0x60a6ca20	0xc4e000
85	blk.6.attn_q_norm.weight	0x616baa20	0x400
86	blk.6.attn_v.weight	0x616bae20	0x7f8000
87	blk.6.ffn_down.weight	0x61eb2e20	0x3bc4000
88	blk.6.ffn_gate.weight	0x65a76e20	0x2e24800
89	blk.6.ffn_norm.weight	0x6889b620	0x3c00
90	blk.6.ffn_up.weight	0x6889f220	0x2e24800
91	blk.6.post_attention_norm.weight	0x6b6c3a20	0x3c00
92	blk.6.post_ffw_norm.weight	0x6b6c7620	0x3c00
93	blk.7.attn_k.weight	0x6b6cb220	0x627000
94	blk.7.attn_k_norm.weight	0x6bcf2220	0x400
95	blk.7.attn_norm.weight	0x6bcf2620	0x3c00
96	blk.7.attn_output.weight	0x6bcf6220	0xc4e000
97	blk.7.attn_q.weight	0x6c944220	0xc4e000
98	blk.7.attn_q_norm.weight	0x6d592220	0x400
99	blk.7.attn_v.weight	0x6d592620	0x7f8000
100	blk.7.ffn_down.weight	0x6dd8a620	0x3bc4000
101	blk.7.ffn_gate.weight	0x7194e620	0x2e24800
102	blk.7.ffn_norm.weight	0x74772e20	0x3c00
103	blk.7.ffn_up.weight	0x74776a20	0x2e24800
104	blk.7.post_attention_norm.weight	0x7759b220	0x3c00
105	blk.7.post_ffw_norm.weight	0x7759ee20	0x3c00
106	blk.8.attn_k.weight	0x775a2a20	0x627000
107	blk.8.attn_k_norm.weight	0x77bc9a20	0x400
108	blk.8.attn_norm.weight	0x77bc9e20	0x3c00
109	blk.8.attn_output.weight	0x77bcda20	0xc4e000
110	blk.8.attn_q.weight	0x7881ba20	0xc4e000
111	blk.8.attn_q_norm.weight	0x79469a20	0x400
112	blk.8.attn_v.weight	0x79469e20	0x7f8000
113	blk.8.ffn_down.weight	0x79c61e20	0x3bc4000
114	blk.8.ffn_gate.weight	0x7d825e20	0x2e24800
115	blk.8.ffn_norm.weight	0x8064a620	0x3c00
116	blk.8.ffn_up.weight	0x8064e220	0x2e24800
117	blk.8.post_attention_norm.weight	0x83472a20	0x3c00
118	blk.8.post_ffw_norm.weight	0x83476620	0x3c00
119	blk.9.attn_k.weight	0x8347a220	0x528000
120	blk.9.attn_k_norm.weight	0x839a2220	0x400
121	blk.9.attn_norm.weight	0x839a2620	0x3c00
122	blk.9.attn_output.weight	0x839a6220	0xc4e000
123	blk.9.attn_q.weight	0x845f4220	0xa50000
124	blk.9.attn_q_norm.weight	0x85044220	0x400
125	blk.9.attn_v.weight	0x85044620	0x7f8000
126	blk.9.ffn_down.weight	0x8583c620	0x3bc4000
127	blk.9.ffn_gate.weight	0x89400620	0x26ac000
128	blk.9.ffn_norm.weight	0x8baac620	0x3c00
129	blk.9.ffn_up.weight	0x8bab0220	0x26ac000
130	blk.9.post_attention_norm.weight	0x8e15c220	0x3c00
131	blk.9.post_ffw_norm.weight	0x8e15fe20	0x3c00
132	blk.10.attn_k.weight	0x8e163a20	0x528000
133	blk.10.attn_k_norm.weight	0x8e68ba20	0x400
134	blk.10.attn_norm.weight	0x8e68be20	0x3c00
135	blk.10.attn_output.weight	0x8e68fa20	0xc4e000
136	blk.10.attn_q.weight	0x8f2dda20	0xa50000
137	blk.10.attn_q_norm.weight	0x8fd2da20	0x400
138	blk.10.attn_v.weight	0x8fd2de20	0x7f8000
139	blk.10.ffn_down.weight	0x90525e20	0x3bc4000
140	blk.10.ffn_gate.weight	0x940e9e20	0x26ac000
141	blk.10.ffn_norm.weight	0x96795e20	0x3c00
142	blk.10.ffn_up.weight	0x96799a20	0x26ac000
143	blk.10.post_attention_norm.weight	0x98e45a20	0x3c00
144	blk.10.post_ffw_norm.weight	0x98e49620	0x3c00
145	blk.11.attn_k.weight	0x98e4d220	0x528000
146	blk.11.attn_k_norm.weight	0x99375220	0x400
147	blk.11.attn_norm.weight	0x99375620	0x3c00
148	blk.11.attn_output.weight	0x99379220	0xc4e000
149	blk.11.attn_q.weight	0x99fc7220	0xa50000
150	blk.11.attn_q_norm.weight	0x9aa17220	0x400
151	blk.11.attn_v.weight	0x9aa17620	0x7f8000
152	blk.11.ffn_down.weight	0x9b20f620	0x3bc4000
153	blk.11.ffn_gate.weight	0x9edd3620	0x26ac000
154	blk.11.ffn_norm.weight	0xa147f620	0x3c00
155	blk.11.ffn_up.weight	0xa1483220	0x26ac000
156	blk.11.post_attention_norm.weight	0xa3b2f220	0x3c00
157	blk.11.post_ffw_norm.weight	0xa3b32e20	0x3c00
158	blk.12.attn_k.weight	0xa3b36a20	0x528000
159	blk.12.attn_k_norm.weight	0xa405ea20	0x400
160	blk.12.attn_norm.weight	0xa405ee20	0x3c00
161	blk.12.attn_output.weight	0xa4062a20	0xc4e000
162	blk.12.attn_q.weight	0xa4cb0a20	0xa50000
163	blk.12.attn_q_norm.weight	0xa5700a20	0x400
164	blk.12.attn_v.weight	0xa5700e20	0x7f8000
165	blk.12.ffn_down.weight	0xa5ef8e20	0x3bc4000
166	blk.12.ffn_gate.weight	0xa9abce20	0x26ac000
167	blk.12.ffn_norm.weight	0xac168e20	0x3c00
168	blk.12.ffn_up.weight	0xac16ca20	0x26ac000
169	blk.12.post_attention_norm.weight	0xae818a20	0x3c00
170	blk.12.post_ffw_norm.weight	0xae81c620	0x3c00
171	blk.13.attn_k.weight	0xae820220	0x528000
172	blk.13.attn_k_norm.weight	0xaed48220	0x400
173	blk.13.attn_norm.weight	0xaed48620	0x3c00
174	blk.13.attn_output.weight	0xaed4c220	0xc4e000
175	blk.13.attn_q.weight	0xaf99a220	0xa50000
176	blk.13.attn_q_norm.weight	0xb03ea220	0x400
177	blk.13.attn_v.weight	0xb03ea620	0x7f8000
178	blk.13.ffn_down.weight	0xb0be2620	0x3bc4000
179	blk.13.ffn_gate.weight	0xb47a6620	0x26ac000
180	blk.13.ffn_norm.weight	0xb6e52620	0x3c00
181	blk.13.ffn_up.weight	0xb6e56220	0x26ac000
182	blk.13.post_attention_norm.weight	0xb9502220	0x3c00
183	blk.13.post_ffw_norm.weight	0xb9505e20	0x3c00
184	blk.14.attn_k.weight	0xb9509a20	0x528000
185	blk.14.attn_k_norm.weight	0xb9a31a20	0x400
186	blk.14.attn_norm.weight	0xb9a31e20	0x3c00
187	blk.14.attn_output.weight	0xb9a35a20	0xc4e000
188	blk.14.attn_q.weight	0xba683a20	0xa50000
189	blk.14.attn_q_norm.weight	0xbb0d3a20	0x400
190	blk.14.attn_v.weight	0xbb0d3e20	0x7f8000
191	blk.14.ffn_down.weight	0xbb8cbe20	0x3bc4000
192	blk.14.ffn_gate.weight	0xbf48fe20	0x26ac000
193	blk.14.ffn_norm.weight	0xc1b3be20	0x3c00
194	blk.14.ffn_up.weight	0xc1b3fa20	0x26ac000
195	blk.14.post_attention_norm.weight	0xc41eba20	0x3c00
196	blk.14.post_ffw_norm.weight	0xc41ef620	0x3c00
197	blk.15.attn_k.weight	0xc41f3220	0x528000
198	blk.15.attn_k_norm.weight	0xc471b220	0x400
199	blk.15.attn_norm.weight	0xc471b620	0x3c00
200	blk.15.attn_output.weight	0xc471f220	0xc4e000
201	blk.15.attn_q.weight	0xc536d220	0xa50000
202	blk.15.attn_q_norm.weight	0xc5dbd220	0x400
203	blk.15.attn_v.weight	0xc5dbd620	0x7f8000
204	blk.15.ffn_down.weight	0xc65b5620	0x3bc4000
205	blk.15.ffn_gate.weight	0xca179620	0x26ac000
206	blk.15.ffn_norm.weight	0xcc825620	0x3c00
207	blk.15.ffn_up.weight	0xcc829220	0x26ac000
208	blk.15.post_attention_norm.weight	0xceed5220	0x3c00
209	blk.15.post_ffw_norm.weight	0xceed8e20	0x3c00
210	blk.16.attn_k.weight	0xceedca20	0x528000
211	blk.16.attn_k_norm.weight	0xcf404a20	0x400
212	blk.16.attn_norm.weight	0xcf404e20	0x3c00
213	blk.16.attn_output.weight	0xcf408a20	0xc4e000
214	blk.16.attn_q.weight	0xd0056a20	0xa50000
215	blk.16.attn_q_norm.weight	0xd0aa6a20	0x400
216	blk.16.attn_v.weight	0xd0aa6e20	0x7f8000
217	blk.16.ffn_down.weight	0xd129ee20	0x3bc4000
218	blk.16.ffn_gate.weight	0xd4e62e20	0x26ac000
219	blk.16.ffn_norm.weight	0xd750ee20	0x3c00
220	blk.16.ffn_up.weight	0xd7512a20	0x26ac000
221	blk.16.post_attention_norm.weight	0xd9bbea20	0x3c00
222	blk.16.post_ffw_norm.weight	0xd9bc2620	0x3c00
223	blk.17.attn_k.weight	0xd9bc6220	0x528000
224	blk.17.attn_k_norm.weight	0xda0ee220	0x400
225	blk.17.attn_norm.weight	0xda0ee620	0x3c00
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517	blk.39.ffn_gate.weight	0x1d1024620	0x2e24800
518	blk.39.ffn_norm.weight	0x1d3e48e20	0x3c00
519	blk.39.ffn_up.weight	0x1d3e4ca20	0x2e24800
520	blk.39.post_attention_norm.weight	0x1d6c71220	0x3c00
521	blk.39.post_ffw_norm.weight	0x1d6c74e20	0x3c00
522	blk.40.attn_k.weight	0x1d6c78a20	0x627000
523	blk.40.attn_k_norm.weight	0x1d729fa20	0x400
524	blk.40.attn_norm.weight	0x1d729fe20	0x3c00
525	blk.40.attn_output.weight	0x1d72a3a20	0xc4e000
526	blk.40.attn_q.weight	0x1d7ef1a20	0xc4e000
527	blk.40.attn_q_norm.weight	0x1d8b3fa20	0x400
528	blk.40.attn_v.weight	0x1d8b3fe20	0x7f8000
529	blk.40.ffn_down.weight	0x1d9337e20	0x3bc4000
530	blk.40.ffn_gate.weight	0x1dcefbe20	0x2e24800
531	blk.40.ffn_norm.weight	0x1dfd20620	0x3c00
532	blk.40.ffn_up.weight	0x1dfd24220	0x2e24800
533	blk.40.post_attention_norm.weight	0x1e2b48a20	0x3c00
534	blk.40.post_ffw_norm.weight	0x1e2b4c620	0x3c00
535	blk.41.attn_k.weight	0x1e2b50220	0x528000
536	blk.41.attn_k_norm.weight	0x1e3078220	0x400
537	blk.41.attn_norm.weight	0x1e3078620	0x3c00
538	blk.41.attn_output.weight	0x1e307c220	0xc4e000
539	blk.41.attn_q.weight	0x1e3cca220	0xa50000
540	blk.41.attn_q_norm.weight	0x1e471a220	0x400
541	blk.41.attn_v.weight	0x1e471a620	0x7f8000
542	blk.41.ffn_down.weight	0x1e4f12620	0x3bc4000
543	blk.41.ffn_gate.weight	0x1e8ad6620	0x26ac000
544	blk.41.ffn_norm.weight	0x1eb182620	0x3c00
545	blk.41.ffn_up.weight	0x1eb186220	0x26ac000
546	blk.41.post_attention_norm.weight	0x1ed832220	0x3c00
547	blk.41.post_ffw_norm.weight	0x1ed835e20	0x3c00
548	blk.42.attn_k.weight	0x1ed839a20	0x528000
549	blk.42.attn_k_norm.weight	0x1edd61a20	0x400
550	blk.42.attn_norm.weight	0x1edd61e20	0x3c00
551	blk.42.attn_output.weight	0x1edd65a20	0xc4e000
552	blk.42.attn_q.weight	0x1ee9b3a20	0xa50000
553	blk.42.attn_q_norm.weight	0x1ef403a20	0x400
554	blk.42.attn_v.weight	0x1ef403e20	0x7f8000
555	blk.42.ffn_down.weight	0x1efbfbe20	0x3bc4000
556	blk.42.ffn_gate.weight	0x1f37bfe20	0x26ac000
557	blk.42.ffn_norm.weight	0x1f5e6be20	0x3c00
558	blk.42.ffn_up.weight	0x1f5e6fa20	0x26ac000
559	blk.42.post_attention_norm.weight	0x1f851ba20	0x3c00
560	blk.42.post_ffw_norm.weight	0x1f851f620	0x3c00
561	blk.43.attn_k.weight	0x1f8523220	0x528000
562	blk.43.attn_k_norm.weight	0x1f8a4b220	0x400
563	blk.43.attn_norm.weight	0x1f8a4b620	0x3c00
564	blk.43.attn_output.weight	0x1f8a4f220	0xc4e000
565	blk.43.attn_q.weight	0x1f969d220	0xa50000
566	blk.43.attn_q_norm.weight	0x1fa0ed220	0x400
567	blk.43.attn_v.weight	0x1fa0ed620	0x7f8000
568	blk.43.ffn_down.weight	0x1fa8e5620	0x3bc4000
569	blk.43.ffn_gate.weight	0x1fe4a9620	0x26ac000
570	blk.43.ffn_norm.weight	0x200b55620	0x3c00
571	blk.43.ffn_up.weight	0x200b59220	0x26ac000
572	blk.43.post_attention_norm.weight	0x203205220	0x3c00
573	blk.43.post_ffw_norm.weight	0x203208e20	0x3c00
574	blk.44.attn_k.weight	0x20320ca20	0x528000
575	blk.44.attn_k_norm.weight	0x203734a20	0x400
576	blk.44.attn_norm.weight	0x203734e20	0x3c00
577	blk.44.attn_output.weight	0x203738a20	0xc4e000
578	blk.44.attn_q.weight	0x204386a20	0xa50000
579	blk.44.attn_q_norm.weight	0x204dd6a20	0x400
580	blk.44.attn_v.weight	0x204dd6e20	0x7f8000
581	blk.44.ffn_down.weight	0x2055cee20	0x3bc4000
582	blk.44.ffn_gate.weight	0x209192e20	0x26ac000
583	blk.44.ffn_norm.weight	0x20b83ee20	0x3c00
584	blk.44.ffn_up.weight	0x20b842a20	0x26ac000
585	blk.44.post_attention_norm.weight	0x20deeea20	0x3c00
586	blk.44.post_ffw_norm.weight	0x20def2620	0x3c00
587	blk.45.attn_k.weight	0x20def6220	0x528000
588	blk.45.attn_k_norm.weight	0x20e41e220	0x400
589	blk.45.attn_norm.weight	0x20e41e620	0x3c00
590	blk.45.attn_output.weight	0x20e422220	0xc4e000
591	blk.45.attn_q.weight	0x20f070220	0xa50000
592	blk.45.attn_q_norm.weight	0x20fac0220	0x400
593	blk.45.attn_v.weight	0x20fac0620	0x7f8000
594	blk.45.ffn_down.weight	0x2102b8620	0x3bc4000
595	blk.45.ffn_gate.weight	0x213e7c620	0x26ac000
596	blk.45.ffn_norm.weight	0x216528620	0x3c00
597	blk.45.ffn_up.weight	0x21652c220	0x26ac000
598	blk.45.post_attention_norm.weight	0x218bd8220	0x3c00
599	blk.45.post_ffw_norm.weight	0x218bdbe20	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	Q6_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	Q6_K
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
9	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
10	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q5_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	Q6_K
19	blk.1.attn_q.weight	Block 1 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
22	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
23	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q6_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	Q6_K
32	blk.2.attn_q.weight	Block 2 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
35	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
36	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q5_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	Q6_K
45	blk.3.attn_q.weight	Block 3 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
48	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
49	blk.3.ffn_gate.weight	Block 3 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q6_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	Q6_K
58	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
61	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
62	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q6_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	Q6_K
71	blk.5.attn_q.weight	Block 5 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
74	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
75	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q6_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	Q6_K
84	blk.6.attn_q.weight	Block 6 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
87	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
88	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q6_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	Q6_K
97	blk.7.attn_q.weight	Block 7 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
100	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
101	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q6_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	Q6_K
110	blk.8.attn_q.weight	Block 8 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
113	blk.8.ffn_down.weight	Block 8 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
114	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q5_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	Q6_K
123	blk.9.attn_q.weight	Block 9 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
126	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
127	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
136	blk.10.attn_q.weight	Block 10 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
139	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
140	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
149	blk.11.attn_q.weight	Block 11 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
152	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
153	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
162	blk.12.attn_q.weight	Block 12 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
165	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
166	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
175	blk.13.attn_q.weight	Block 13 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
178	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
179	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
188	blk.14.attn_q.weight	Block 14 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
191	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
192	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
201	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
204	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
205	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
214	blk.16.attn_q.weight	Block 16 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
217	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
218	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
227	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
230	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
231	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
240	blk.18.attn_q.weight	Block 18 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
243	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
244	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
253	blk.19.attn_q.weight	Block 19 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
256	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
257	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
266	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
269	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
270	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
279	blk.21.attn_q.weight	Block 21 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
282	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
283	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
292	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
295	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
296	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
305	blk.23.attn_q.weight	Block 23 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
308	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
309	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q6_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	Q6_K
318	blk.24.attn_q.weight	Block 24 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
321	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
322	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q5_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	Q6_K
331	blk.25.attn_q.weight	Block 25 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
334	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
335	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
344	blk.26.attn_q.weight	Block 26 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
347	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
348	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
357	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
360	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
361	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
370	blk.28.attn_q.weight	Block 28 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
373	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
374	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
383	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
386	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
387	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
396	blk.30.attn_q.weight	Block 30 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
399	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
400	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
409	blk.31.attn_q.weight	Block 31 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
412	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
413	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
422	blk.32.attn_q.weight	Block 32 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
425	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
426	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
435	blk.33.attn_q.weight	Block 33 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
438	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
439	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
448	blk.34.attn_q.weight	Block 34 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
451	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
452	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
461	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
464	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
465	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
474	blk.36.attn_q.weight	Block 36 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
477	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
478	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q6_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	Q6_K
487	blk.37.attn_q.weight	Block 37 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
490	blk.37.ffn_down.weight	Block 37 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
491	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q6_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	Q6_K
500	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
503	blk.38.ffn_down.weight	Block 38 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
504	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q6_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	Q6_K
513	blk.39.attn_q.weight	Block 39 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
516	blk.39.ffn_down.weight	Block 39 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
517	blk.39.ffn_gate.weight	Block 39 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q6_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	Q6_K
526	blk.40.attn_q.weight	Block 40 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q6_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	Q8_0
529	blk.40.ffn_down.weight	Block 40 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
530	blk.40.ffn_gate.weight	Block 40 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q6_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	Q6_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	Q5_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	Q6_K
539	blk.41.attn_q.weight	Block 41 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
542	blk.41.ffn_down.weight	Block 41 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
543	blk.41.ffn_gate.weight	Block 41 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
552	blk.42.attn_q.weight	Block 42 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
555	blk.42.ffn_down.weight	Block 42 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
556	blk.42.ffn_gate.weight	Block 42 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
565	blk.43.attn_q.weight	Block 43 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
568	blk.43.ffn_down.weight	Block 43 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
569	blk.43.ffn_gate.weight	Block 43 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
578	blk.44.attn_q.weight	Block 44 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
581	blk.44.ffn_down.weight	Block 44 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
582	blk.44.ffn_gate.weight	Block 44 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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	Q5_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	Q6_K
591	blk.45.attn_q.weight	Block 45 Attention Query (W)	(~16M) 15728640	3840 x 4096 x 1 x 1	Q5_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	Q8_0
594	blk.45.ffn_down.weight	Block 45 Feed-Forward Network "Down" (W)	(~59M) 58982400	15360 x 3840 x 1 x 1	Q8_0
595	blk.45.ffn_gate.weight	Block 45 Feed-Forward Network "Gate" (W)	(~59M) 58982400	3840 x 15360 x 1 x 1	Q5_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	Q5_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%