granite-4.1-8b-GGUF/scores/granite-4.1-8b-Q6_K.md

granite-4.1-8b-WIP/granite-4.1-8b-Q6_K.gguf - GGUF Internal File Dump

• Endian: LITTLE endian

Key Value Metadata Store

There are 42 key-value pairs in this file

POS	TYPE	Count	Key	Value
1	UINT32	1	GGUF.version	3
2	UINT64	1	GGUF.tensor_count	363
3	UINT64	1	GGUF.kv_count	39
4	STRING	1	general.architecture	granite
5	STRING	1	general.type	model
6	STRING	1	general.name	Granite 4.1 8b
7	STRING	1	general.basename	granite-4.1
8	STRING	1	general.size_label	8B
9	STRING	1	general.license	apache-2.0
10	[STRING]	2	general.tags	[ language, granite-4.1 ]
11	UINT32	1	granite.block_count	40
12	UINT32	1	granite.context_length	131072
13	UINT32	1	granite.embedding_length	4096
14	UINT32	1	granite.feed_forward_length	12800
15	UINT32	1	granite.attention.head_count	32
16	UINT32	1	granite.attention.head_count_kv	8
17	FLOAT32	1	granite.rope.freq_base	10000000.0
18	FLOAT32	1	granite.attention.layer_norm_rms_epsilon	1e-05
19	UINT32	1	granite.vocab_size	100352
20	UINT32	1	granite.rope.dimension_count	128
21	FLOAT32	1	granite.attention.scale	0.0078125
22	FLOAT32	1	granite.embedding_scale	12.0
23	FLOAT32	1	granite.residual_scale	0.22
24	FLOAT32	1	granite.logit_scale	16.0
25	STRING	1	tokenizer.ggml.model	gpt2
26	STRING	1	tokenizer.ggml.pre	granite-docling
27	[STRING]	100352	tokenizer.ggml.tokens	[ !, ", #, $, %, ... ]
28	[INT32]	100352	tokenizer.ggml.token_type	[ 1, 1, 1, 1, 1, 1, 1, ... ]
29	[STRING]	100000	tokenizer.ggml.merges	[ Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ... ]
30	UINT32	1	tokenizer.ggml.bos_token_id	100257
31	UINT32	1	tokenizer.ggml.eos_token_id	100257
32	UINT32	1	tokenizer.ggml.unknown_token_id	100269
33	UINT32	1	tokenizer.ggml.padding_token_id	100256
34	BOOL	1	tokenizer.ggml.add_bos_token	False
35	STRING	1	tokenizer.chat_template	{%- set tools_system_message_p...`end_of_role
36	BOOL	1	tokenizer.ggml.add_space_prefix	False
37	UINT32	1	general.quantization_version	2
38	UINT32	1	general.file_type	18
39	STRING	1	quantize.imatrix.file	imatrix/imatrix-granite-4.1-8b-medium.gguf
40	STRING	1	quantize.imatrix.dataset	../../datasets/imatrix/combined_all_medium.txt
41	UINT32	1	quantize.imatrix.entries_count	280
42	UINT32	1	quantize.imatrix.chunks_count	3601

Tensors Overview ~9B Elements

Total number of elements in all tensors: 8791592960 Elements

• granite-4.1-8b-WIP/granite-4.1-8b-Q6_K.gguf - GGUF Internal File Dump
  • Key Value Metadata Store
  • Tensors Overview ~9B Elements
    • Tensor Data Offset
    • Base Tensor Group : ~822M Elements
    • Block 0 Tensor Group : ~199M Elements
    • Block 1 Tensor Group : ~199M Elements
    • Block 2 Tensor Group : ~199M Elements
    • Block 3 Tensor Group : ~199M Elements
    • Block 4 Tensor Group : ~199M Elements
    • Block 5 Tensor Group : ~199M Elements
    • Block 6 Tensor Group : ~199M Elements
    • Block 7 Tensor Group : ~199M Elements
    • Block 8 Tensor Group : ~199M Elements
    • Block 9 Tensor Group : ~199M Elements
    • Block 10 Tensor Group : ~199M Elements
    • Block 11 Tensor Group : ~199M Elements
    • Block 12 Tensor Group : ~199M Elements
    • Block 13 Tensor Group : ~199M Elements
    • Block 14 Tensor Group : ~199M Elements
    • Block 15 Tensor Group : ~199M Elements
    • Block 16 Tensor Group : ~199M Elements
    • Block 17 Tensor Group : ~199M Elements
    • Block 18 Tensor Group : ~199M Elements
    • Block 19 Tensor Group : ~199M Elements
    • Block 20 Tensor Group : ~199M Elements
    • Block 21 Tensor Group : ~199M Elements
    • Block 22 Tensor Group : ~199M Elements
    • Block 23 Tensor Group : ~199M Elements
    • Block 24 Tensor Group : ~199M Elements
    • Block 25 Tensor Group : ~199M Elements
    • Block 26 Tensor Group : ~199M Elements
    • Block 27 Tensor Group : ~199M Elements
    • Block 28 Tensor Group : ~199M Elements
    • Block 29 Tensor Group : ~199M Elements
    • Block 30 Tensor Group : ~199M Elements
    • Block 31 Tensor Group : ~199M Elements
    • Block 32 Tensor Group : ~199M Elements
    • Block 33 Tensor Group : ~199M Elements
    • Block 34 Tensor Group : ~199M Elements
    • Block 35 Tensor Group : ~199M Elements
    • Block 36 Tensor Group : ~199M Elements
    • Block 37 Tensor Group : ~199M Elements
    • Block 38 Tensor Group : ~199M Elements
    • Block 39 Tensor Group : ~199M 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.weight	0x367400	0x1a080000
1	output_norm.weight	0x1a3e7400	0x4000
2	token_embd.weight	0x1a3eb400	0x14190000
3	blk.0.attn_k.weight	0x2e57b400	0x240000
4	blk.0.attn_norm.weight	0x2e7bb400	0x4000
5	blk.0.attn_output.weight	0x2e7bf400	0xb00000
6	blk.0.attn_q.weight	0x2f2bf400	0x900000
7	blk.0.attn_v.weight	0x2fbbf400	0x348000
8	blk.0.ffn_down.weight	0x2ff07400	0x2260000
9	blk.0.ffn_gate.weight	0x32167400	0x2260000
10	blk.0.ffn_norm.weight	0x343c7400	0x4000
11	blk.0.ffn_up.weight	0x343cb400	0x2904000
12	blk.1.attn_k.weight	0x36ccf400	0x2c0000
13	blk.1.attn_norm.weight	0x36f8f400	0x4000
14	blk.1.attn_output.weight	0x36f93400	0xd20000
15	blk.1.attn_q.weight	0x37cb3400	0xb00000
16	blk.1.attn_v.weight	0x387b3400	0x440000
17	blk.1.ffn_down.weight	0x38bf3400	0x2904000
18	blk.1.ffn_gate.weight	0x3b4f7400	0x2904000
19	blk.1.ffn_norm.weight	0x3ddfb400	0x4000
20	blk.1.ffn_up.weight	0x3ddff400	0x2904000
21	blk.2.attn_k.weight	0x40703400	0x2c0000
22	blk.2.attn_norm.weight	0x409c3400	0x4000
23	blk.2.attn_output.weight	0x409c7400	0xd20000
24	blk.2.attn_q.weight	0x416e7400	0xb00000
25	blk.2.attn_v.weight	0x421e7400	0x440000
26	blk.2.ffn_down.weight	0x42627400	0x2904000
27	blk.2.ffn_gate.weight	0x44f2b400	0x2904000
28	blk.2.ffn_norm.weight	0x4782f400	0x4000
29	blk.2.ffn_up.weight	0x47833400	0x2904000
30	blk.3.attn_k.weight	0x4a137400	0x2c0000
31	blk.3.attn_norm.weight	0x4a3f7400	0x4000
32	blk.3.attn_output.weight	0x4a3fb400	0xd20000
33	blk.3.attn_q.weight	0x4b11b400	0xb00000
34	blk.3.attn_v.weight	0x4bc1b400	0x440000
35	blk.3.ffn_down.weight	0x4c05b400	0x2260000
36	blk.3.ffn_gate.weight	0x4e2bb400	0x2904000
37	blk.3.ffn_norm.weight	0x50bbf400	0x4000
38	blk.3.ffn_up.weight	0x50bc3400	0x2904000
39	blk.4.attn_k.weight	0x534c7400	0x2c0000
40	blk.4.attn_norm.weight	0x53787400	0x4000
41	blk.4.attn_output.weight	0x5378b400	0xd20000
42	blk.4.attn_q.weight	0x544ab400	0xd20000
43	blk.4.attn_v.weight	0x551cb400	0x440000
44	blk.4.ffn_down.weight	0x5560b400	0x2260000
45	blk.4.ffn_gate.weight	0x5786b400	0x2904000
46	blk.4.ffn_norm.weight	0x5a16f400	0x4000
47	blk.4.ffn_up.weight	0x5a173400	0x2904000
48	blk.5.attn_k.weight	0x5ca77400	0x2c0000
49	blk.5.attn_norm.weight	0x5cd37400	0x4000
50	blk.5.attn_output.weight	0x5cd3b400	0xd20000
51	blk.5.attn_q.weight	0x5da5b400	0xb00000
52	blk.5.attn_v.weight	0x5e55b400	0x440000
53	blk.5.ffn_down.weight	0x5e99b400	0x2260000
54	blk.5.ffn_gate.weight	0x60bfb400	0x2904000
55	blk.5.ffn_norm.weight	0x634ff400	0x4000
56	blk.5.ffn_up.weight	0x63503400	0x2904000
57	blk.6.attn_k.weight	0x65e07400	0x2c0000
58	blk.6.attn_norm.weight	0x660c7400	0x4000
59	blk.6.attn_output.weight	0x660cb400	0xd20000
60	blk.6.attn_q.weight	0x66deb400	0xb00000
61	blk.6.attn_v.weight	0x678eb400	0x440000
62	blk.6.ffn_down.weight	0x67d2b400	0x2260000
63	blk.6.ffn_gate.weight	0x69f8b400	0x2904000
64	blk.6.ffn_norm.weight	0x6c88f400	0x4000
65	blk.6.ffn_up.weight	0x6c893400	0x2904000
66	blk.7.attn_k.weight	0x6f197400	0x348000
67	blk.7.attn_norm.weight	0x6f4df400	0x4000
68	blk.7.attn_output.weight	0x6f4e3400	0xd20000
69	blk.7.attn_q.weight	0x70203400	0xd20000
70	blk.7.attn_v.weight	0x70f23400	0x440000
71	blk.7.ffn_down.weight	0x71363400	0x2904000
72	blk.7.ffn_gate.weight	0x73c67400	0x2904000
73	blk.7.ffn_norm.weight	0x7656b400	0x4000
74	blk.7.ffn_up.weight	0x7656f400	0x2904000
75	blk.8.attn_k.weight	0x78e73400	0x2c0000
76	blk.8.attn_norm.weight	0x79133400	0x4000
77	blk.8.attn_output.weight	0x79137400	0xd20000
78	blk.8.attn_q.weight	0x79e57400	0xb00000
79	blk.8.attn_v.weight	0x7a957400	0x440000
80	blk.8.ffn_down.weight	0x7ad97400	0x2260000
81	blk.8.ffn_gate.weight	0x7cff7400	0x2260000
82	blk.8.ffn_norm.weight	0x7f257400	0x4000
83	blk.8.ffn_up.weight	0x7f25b400	0x2904000
84	blk.9.attn_k.weight	0x81b5f400	0x2c0000
85	blk.9.attn_norm.weight	0x81e1f400	0x4000
86	blk.9.attn_output.weight	0x81e23400	0xd20000
87	blk.9.attn_q.weight	0x82b43400	0xb00000
88	blk.9.attn_v.weight	0x83643400	0x440000
89	blk.9.ffn_down.weight	0x83a83400	0x2260000
90	blk.9.ffn_gate.weight	0x85ce3400	0x2260000
91	blk.9.ffn_norm.weight	0x87f43400	0x4000
92	blk.9.ffn_up.weight	0x87f47400	0x2904000
93	blk.10.attn_k.weight	0x8a84b400	0x2c0000
94	blk.10.attn_norm.weight	0x8ab0b400	0x4000
95	blk.10.attn_output.weight	0x8ab0f400	0xd20000
96	blk.10.attn_q.weight	0x8b82f400	0xb00000
97	blk.10.attn_v.weight	0x8c32f400	0x440000
98	blk.10.ffn_down.weight	0x8c76f400	0x2260000
99	blk.10.ffn_gate.weight	0x8e9cf400	0x2260000
100	blk.10.ffn_norm.weight	0x90c2f400	0x4000
101	blk.10.ffn_up.weight	0x90c33400	0x2904000
102	blk.11.attn_k.weight	0x93537400	0x2c0000
103	blk.11.attn_norm.weight	0x937f7400	0x4000
104	blk.11.attn_output.weight	0x937fb400	0xd20000
105	blk.11.attn_q.weight	0x9451b400	0xb00000
106	blk.11.attn_v.weight	0x9501b400	0x440000
107	blk.11.ffn_down.weight	0x9545b400	0x2904000
108	blk.11.ffn_gate.weight	0x97d5f400	0x2260000
109	blk.11.ffn_norm.weight	0x99fbf400	0x4000
110	blk.11.ffn_up.weight	0x99fc3400	0x2904000
111	blk.12.attn_k.weight	0x9c8c7400	0x2c0000
112	blk.12.attn_norm.weight	0x9cb87400	0x4000
113	blk.12.attn_output.weight	0x9cb8b400	0xd20000
114	blk.12.attn_q.weight	0x9d8ab400	0xb00000
115	blk.12.attn_v.weight	0x9e3ab400	0x440000
116	blk.12.ffn_down.weight	0x9e7eb400	0x2904000
117	blk.12.ffn_gate.weight	0xa10ef400	0x2260000
118	blk.12.ffn_norm.weight	0xa334f400	0x4000
119	blk.12.ffn_up.weight	0xa3353400	0x2904000
120	blk.13.attn_k.weight	0xa5c57400	0x2c0000
121	blk.13.attn_norm.weight	0xa5f17400	0x4000
122	blk.13.attn_output.weight	0xa5f1b400	0xd20000
123	blk.13.attn_q.weight	0xa6c3b400	0xb00000
124	blk.13.attn_v.weight	0xa773b400	0x440000
125	blk.13.ffn_down.weight	0xa7b7b400	0x2904000
126	blk.13.ffn_gate.weight	0xaa47f400	0x2260000
127	blk.13.ffn_norm.weight	0xac6df400	0x4000
128	blk.13.ffn_up.weight	0xac6e3400	0x2904000
129	blk.14.attn_k.weight	0xaefe7400	0x2c0000
130	blk.14.attn_norm.weight	0xaf2a7400	0x4000
131	blk.14.attn_output.weight	0xaf2ab400	0xd20000
132	blk.14.attn_q.weight	0xaffcb400	0xb00000
133	blk.14.attn_v.weight	0xb0acb400	0x440000
134	blk.14.ffn_down.weight	0xb0f0b400	0x2904000
135	blk.14.ffn_gate.weight	0xb380f400	0x2904000
136	blk.14.ffn_norm.weight	0xb6113400	0x4000
137	blk.14.ffn_up.weight	0xb6117400	0x2904000
138	blk.15.attn_k.weight	0xb8a1b400	0x2c0000
139	blk.15.attn_norm.weight	0xb8cdb400	0x4000
140	blk.15.attn_output.weight	0xb8cdf400	0xd20000
141	blk.15.attn_q.weight	0xb99ff400	0xd20000
142	blk.15.attn_v.weight	0xba71f400	0x440000
143	blk.15.ffn_down.weight	0xbab5f400	0x2904000
144	blk.15.ffn_gate.weight	0xbd463400	0x2904000
145	blk.15.ffn_norm.weight	0xbfd67400	0x4000
146	blk.15.ffn_up.weight	0xbfd6b400	0x2904000
147	blk.16.attn_k.weight	0xc266f400	0x348000
148	blk.16.attn_norm.weight	0xc29b7400	0x4000
149	blk.16.attn_output.weight	0xc29bb400	0xd20000
150	blk.16.attn_q.weight	0xc36db400	0xd20000
151	blk.16.attn_v.weight	0xc43fb400	0x440000
152	blk.16.ffn_down.weight	0xc483b400	0x2904000
153	blk.16.ffn_gate.weight	0xc713f400	0x2904000
154	blk.16.ffn_norm.weight	0xc9a43400	0x4000
155	blk.16.ffn_up.weight	0xc9a47400	0x2904000
156	blk.17.attn_k.weight	0xcc34b400	0x2c0000
157	blk.17.attn_norm.weight	0xcc60b400	0x4000
158	blk.17.attn_output.weight	0xcc60f400	0xd20000
159	blk.17.attn_q.weight	0xcd32f400	0xd20000
160	blk.17.attn_v.weight	0xce04f400	0x440000
161	blk.17.ffn_down.weight	0xce48f400	0x2904000
162	blk.17.ffn_gate.weight	0xd0d93400	0x2904000
163	blk.17.ffn_norm.weight	0xd3697400	0x4000
164	blk.17.ffn_up.weight	0xd369b400	0x2904000
165	blk.18.attn_k.weight	0xd5f9f400	0x2c0000
166	blk.18.attn_norm.weight	0xd625f400	0x4000
167	blk.18.attn_output.weight	0xd6263400	0xd20000
168	blk.18.attn_q.weight	0xd6f83400	0xb00000
169	blk.18.attn_v.weight	0xd7a83400	0x440000
170	blk.18.ffn_down.weight	0xd7ec3400	0x2904000
171	blk.18.ffn_gate.weight	0xda7c7400	0x2904000
172	blk.18.ffn_norm.weight	0xdd0cb400	0x4000
173	blk.18.ffn_up.weight	0xdd0cf400	0x2904000
174	blk.19.attn_k.weight	0xdf9d3400	0x2c0000
175	blk.19.attn_norm.weight	0xdfc93400	0x4000
176	blk.19.attn_output.weight	0xdfc97400	0xd20000
177	blk.19.attn_q.weight	0xe09b7400	0xb00000
178	blk.19.attn_v.weight	0xe14b7400	0x440000
179	blk.19.ffn_down.weight	0xe18f7400	0x2904000
180	blk.19.ffn_gate.weight	0xe41fb400	0x2904000
181	blk.19.ffn_norm.weight	0xe6aff400	0x4000
182	blk.19.ffn_up.weight	0xe6b03400	0x2904000
183	blk.20.attn_k.weight	0xe9407400	0x2c0000
184	blk.20.attn_norm.weight	0xe96c7400	0x4000
185	blk.20.attn_output.weight	0xe96cb400	0xd20000
186	blk.20.attn_q.weight	0xea3eb400	0xd20000
187	blk.20.attn_v.weight	0xeb10b400	0x440000
188	blk.20.ffn_down.weight	0xeb54b400	0x2904000
189	blk.20.ffn_gate.weight	0xede4f400	0x2904000
190	blk.20.ffn_norm.weight	0xf0753400	0x4000
191	blk.20.ffn_up.weight	0xf0757400	0x2904000
192	blk.21.attn_k.weight	0xf305b400	0x2c0000
193	blk.21.attn_norm.weight	0xf331b400	0x4000
194	blk.21.attn_output.weight	0xf331f400	0xd20000
195	blk.21.attn_q.weight	0xf403f400	0xb00000
196	blk.21.attn_v.weight	0xf4b3f400	0x440000
197	blk.21.ffn_down.weight	0xf4f7f400	0x2904000
198	blk.21.ffn_gate.weight	0xf7883400	0x2904000
199	blk.21.ffn_norm.weight	0xfa187400	0x4000
200	blk.21.ffn_up.weight	0xfa18b400	0x2904000
201	blk.22.attn_k.weight	0xfca8f400	0x2c0000
202	blk.22.attn_norm.weight	0xfcd4f400	0x4000
203	blk.22.attn_output.weight	0xfcd53400	0xd20000
204	blk.22.attn_q.weight	0xfda73400	0xd20000
205	blk.22.attn_v.weight	0xfe793400	0x440000
206	blk.22.ffn_down.weight	0xfebd3400	0x2904000
207	blk.22.ffn_gate.weight	0x1014d7400	0x2904000
208	blk.22.ffn_norm.weight	0x103ddb400	0x4000
209	blk.22.ffn_up.weight	0x103ddf400	0x2904000
210	blk.23.attn_k.weight	0x1066e3400	0x2c0000
211	blk.23.attn_norm.weight	0x1069a3400	0x4000
212	blk.23.attn_output.weight	0x1069a7400	0xd20000
213	blk.23.attn_q.weight	0x1076c7400	0xd20000
214	blk.23.attn_v.weight	0x1083e7400	0x440000
215	blk.23.ffn_down.weight	0x108827400	0x2904000
216	blk.23.ffn_gate.weight	0x10b12b400	0x2904000
217	blk.23.ffn_norm.weight	0x10da2f400	0x4000
218	blk.23.ffn_up.weight	0x10da33400	0x2904000
219	blk.24.attn_k.weight	0x110337400	0x2c0000
220	blk.24.attn_norm.weight	0x1105f7400	0x4000
221	blk.24.attn_output.weight	0x1105fb400	0xd20000
222	blk.24.attn_q.weight	0x11131b400	0xb00000
223	blk.24.attn_v.weight	0x111e1b400	0x440000
224	blk.24.ffn_down.weight	0x11225b400	0x2904000
225	blk.24.ffn_gate.weight	0x114b5f400	0x2904000
226	blk.24.ffn_norm.weight	0x117463400	0x4000
227	blk.24.ffn_up.weight	0x117467400	0x2904000
228	blk.25.attn_k.weight	0x119d6b400	0x2c0000
229	blk.25.attn_norm.weight	0x11a02b400	0x4000
230	blk.25.attn_output.weight	0x11a02f400	0xd20000
231	blk.25.attn_q.weight	0x11ad4f400	0xd20000
232	blk.25.attn_v.weight	0x11ba6f400	0x440000
233	blk.25.ffn_down.weight	0x11beaf400	0x2904000
234	blk.25.ffn_gate.weight	0x11e7b3400	0x2904000
235	blk.25.ffn_norm.weight	0x1210b7400	0x4000
236	blk.25.ffn_up.weight	0x1210bb400	0x2904000
237	blk.26.attn_k.weight	0x1239bf400	0x2c0000
238	blk.26.attn_norm.weight	0x123c7f400	0x4000
239	blk.26.attn_output.weight	0x123c83400	0xd20000
240	blk.26.attn_q.weight	0x1249a3400	0xb00000
241	blk.26.attn_v.weight	0x1254a3400	0x440000
242	blk.26.ffn_down.weight	0x1258e3400	0x2904000
243	blk.26.ffn_gate.weight	0x1281e7400	0x2904000
244	blk.26.ffn_norm.weight	0x12aaeb400	0x4000
245	blk.26.ffn_up.weight	0x12aaef400	0x2904000
246	blk.27.attn_k.weight	0x12d3f3400	0x2c0000
247	blk.27.attn_norm.weight	0x12d6b3400	0x4000
248	blk.27.attn_output.weight	0x12d6b7400	0xd20000
249	blk.27.attn_q.weight	0x12e3d7400	0xd20000
250	blk.27.attn_v.weight	0x12f0f7400	0x440000
251	blk.27.ffn_down.weight	0x12f537400	0x2904000
252	blk.27.ffn_gate.weight	0x131e3b400	0x2904000
253	blk.27.ffn_norm.weight	0x13473f400	0x4000
254	blk.27.ffn_up.weight	0x134743400	0x2904000
255	blk.28.attn_k.weight	0x137047400	0x348000
256	blk.28.attn_norm.weight	0x13738f400	0x4000
257	blk.28.attn_output.weight	0x137393400	0xd20000
258	blk.28.attn_q.weight	0x1380b3400	0xd20000
259	blk.28.attn_v.weight	0x138dd3400	0x440000
260	blk.28.ffn_down.weight	0x139213400	0x2904000
261	blk.28.ffn_gate.weight	0x13bb17400	0x2904000
262	blk.28.ffn_norm.weight	0x13e41b400	0x4000
263	blk.28.ffn_up.weight	0x13e41f400	0x2904000
264	blk.29.attn_k.weight	0x140d23400	0x2c0000
265	blk.29.attn_norm.weight	0x140fe3400	0x4000
266	blk.29.attn_output.weight	0x140fe7400	0xd20000
267	blk.29.attn_q.weight	0x141d07400	0xd20000
268	blk.29.attn_v.weight	0x142a27400	0x440000
269	blk.29.ffn_down.weight	0x142e67400	0x2904000
270	blk.29.ffn_gate.weight	0x14576b400	0x2904000
271	blk.29.ffn_norm.weight	0x14806f400	0x4000
272	blk.29.ffn_up.weight	0x148073400	0x2904000
273	blk.30.attn_k.weight	0x14a977400	0x348000
274	blk.30.attn_norm.weight	0x14acbf400	0x4000
275	blk.30.attn_output.weight	0x14acc3400	0xd20000
276	blk.30.attn_q.weight	0x14b9e3400	0xd20000
277	blk.30.attn_v.weight	0x14c703400	0x440000
278	blk.30.ffn_down.weight	0x14cb43400	0x2904000
279	blk.30.ffn_gate.weight	0x14f447400	0x2904000
280	blk.30.ffn_norm.weight	0x151d4b400	0x4000
281	blk.30.ffn_up.weight	0x151d4f400	0x2904000
282	blk.31.attn_k.weight	0x154653400	0x2c0000
283	blk.31.attn_norm.weight	0x154913400	0x4000
284	blk.31.attn_output.weight	0x154917400	0xd20000
285	blk.31.attn_q.weight	0x155637400	0xd20000
286	blk.31.attn_v.weight	0x156357400	0x440000
287	blk.31.ffn_down.weight	0x156797400	0x2904000
288	blk.31.ffn_gate.weight	0x15909b400	0x2904000
289	blk.31.ffn_norm.weight	0x15b99f400	0x4000
290	blk.31.ffn_up.weight	0x15b9a3400	0x2904000
291	blk.32.attn_k.weight	0x15e2a7400	0x2c0000
292	blk.32.attn_norm.weight	0x15e567400	0x4000
293	blk.32.attn_output.weight	0x15e56b400	0xd20000
294	blk.32.attn_q.weight	0x15f28b400	0xd20000
295	blk.32.attn_v.weight	0x15ffab400	0x440000
296	blk.32.ffn_down.weight	0x1603eb400	0x2904000
297	blk.32.ffn_gate.weight	0x162cef400	0x2904000
298	blk.32.ffn_norm.weight	0x1655f3400	0x4000
299	blk.32.ffn_up.weight	0x1655f7400	0x2904000
300	blk.33.attn_k.weight	0x167efb400	0x2c0000
301	blk.33.attn_norm.weight	0x1681bb400	0x4000
302	blk.33.attn_output.weight	0x1681bf400	0xd20000
303	blk.33.attn_q.weight	0x168edf400	0xb00000
304	blk.33.attn_v.weight	0x1699df400	0x440000
305	blk.33.ffn_down.weight	0x169e1f400	0x2260000
306	blk.33.ffn_gate.weight	0x16c07f400	0x2904000
307	blk.33.ffn_norm.weight	0x16e983400	0x4000
308	blk.33.ffn_up.weight	0x16e987400	0x2904000
309	blk.34.attn_k.weight	0x17128b400	0x2c0000
310	blk.34.attn_norm.weight	0x17154b400	0x4000
311	blk.34.attn_output.weight	0x17154f400	0xd20000
312	blk.34.attn_q.weight	0x17226f400	0xd20000
313	blk.34.attn_v.weight	0x172f8f400	0x440000
314	blk.34.ffn_down.weight	0x1733cf400	0x2904000
315	blk.34.ffn_gate.weight	0x175cd3400	0x2904000
316	blk.34.ffn_norm.weight	0x1785d7400	0x4000
317	blk.34.ffn_up.weight	0x1785db400	0x2904000
318	blk.35.attn_k.weight	0x17aedf400	0x2c0000
319	blk.35.attn_norm.weight	0x17b19f400	0x4000
320	blk.35.attn_output.weight	0x17b1a3400	0xd20000
321	blk.35.attn_q.weight	0x17bec3400	0xd20000
322	blk.35.attn_v.weight	0x17cbe3400	0x348000
323	blk.35.ffn_down.weight	0x17cf2b400	0x2260000
324	blk.35.ffn_gate.weight	0x17f18b400	0x2904000
325	blk.35.ffn_norm.weight	0x181a8f400	0x4000
326	blk.35.ffn_up.weight	0x181a93400	0x2904000
327	blk.36.attn_k.weight	0x184397400	0x2c0000
328	blk.36.attn_norm.weight	0x184657400	0x4000
329	blk.36.attn_output.weight	0x18465b400	0xd20000
330	blk.36.attn_q.weight	0x18537b400	0xd20000
331	blk.36.attn_v.weight	0x18609b400	0x348000
332	blk.36.ffn_down.weight	0x1863e3400	0x2260000
333	blk.36.ffn_gate.weight	0x188643400	0x2904000
334	blk.36.ffn_norm.weight	0x18af47400	0x4000
335	blk.36.ffn_up.weight	0x18af4b400	0x2904000
336	blk.37.attn_k.weight	0x18d84f400	0x2c0000
337	blk.37.attn_norm.weight	0x18db0f400	0x4000
338	blk.37.attn_output.weight	0x18db13400	0xd20000
339	blk.37.attn_q.weight	0x18e833400	0xb00000
340	blk.37.attn_v.weight	0x18f333400	0x348000
341	blk.37.ffn_down.weight	0x18f67b400	0x2904000
342	blk.37.ffn_gate.weight	0x191f7f400	0x2904000
343	blk.37.ffn_norm.weight	0x194883400	0x4000
344	blk.37.ffn_up.weight	0x194887400	0x2904000
345	blk.38.attn_k.weight	0x19718b400	0x2c0000
346	blk.38.attn_norm.weight	0x19744b400	0x4000
347	blk.38.attn_output.weight	0x19744f400	0xd20000
348	blk.38.attn_q.weight	0x19816f400	0xd20000
349	blk.38.attn_v.weight	0x198e8f400	0x348000
350	blk.38.ffn_down.weight	0x1991d7400	0x2904000
351	blk.38.ffn_gate.weight	0x19badb400	0x2904000
352	blk.38.ffn_norm.weight	0x19e3df400	0x4000
353	blk.38.ffn_up.weight	0x19e3e3400	0x2904000
354	blk.39.attn_k.weight	0x1a0ce7400	0x2c0000
355	blk.39.attn_norm.weight	0x1a0fa7400	0x4000
356	blk.39.attn_output.weight	0x1a0fab400	0xd20000
357	blk.39.attn_q.weight	0x1a1ccb400	0xb00000
358	blk.39.attn_v.weight	0x1a27cb400	0x348000
359	blk.39.ffn_down.weight	0x1a2b13400	0x2260000
360	blk.39.ffn_gate.weight	0x1a4d73400	0x2904000
361	blk.39.ffn_norm.weight	0x1a7677400	0x4000
362	blk.39.ffn_up.weight	0x1a767b400	0x2904000

Base Tensor Group : ~822M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
0	output.weight	Output (W)	(~411M) 411041792	4096 x 100352 x 1 x 1	Q8_0	8.5000
1	output_norm.weight	Output Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
2	token_embd.weight	Token Embedding (W)	(~411M) 411041792	4096 x 100352 x 1 x 1	Q6_K	6.5625

• Total elements in base: (~822M) 822087680
• Percentage of total elements: 9.35%
• Bits per Weight (BPW) for base: 7.5314 bits

Block 0 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
3	blk.0.attn_k.weight	Block 0 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
4	blk.0.attn_norm.weight	Block 0 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
5	blk.0.attn_output.weight	Block 0 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
7	blk.0.attn_v.weight	Block 0 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
8	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
9	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
10	blk.0.ffn_norm.weight	Block 0 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
11	blk.0.ffn_up.weight	Block 0 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.0: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.0: 5.6978 bits

Block 1 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
12	blk.1.attn_k.weight	Block 1 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
13	blk.1.attn_norm.weight	Block 1 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
14	blk.1.attn_output.weight	Block 1 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
15	blk.1.attn_q.weight	Block 1 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
16	blk.1.attn_v.weight	Block 1 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
17	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
18	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
19	blk.1.ffn_norm.weight	Block 1 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
20	blk.1.ffn_up.weight	Block 1 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.1: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.1: 6.4925 bits

Block 2 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
21	blk.2.attn_k.weight	Block 2 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
22	blk.2.attn_norm.weight	Block 2 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
23	blk.2.attn_output.weight	Block 2 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
24	blk.2.attn_q.weight	Block 2 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
25	blk.2.attn_v.weight	Block 2 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
26	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
27	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
28	blk.2.ffn_norm.weight	Block 2 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
29	blk.2.ffn_up.weight	Block 2 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.2: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.2: 6.4925 bits

Block 3 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
30	blk.3.attn_k.weight	Block 3 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
31	blk.3.attn_norm.weight	Block 3 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
32	blk.3.attn_output.weight	Block 3 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
33	blk.3.attn_q.weight	Block 3 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
34	blk.3.attn_v.weight	Block 3 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
35	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
36	blk.3.ffn_gate.weight	Block 3 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
37	blk.3.ffn_norm.weight	Block 3 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
38	blk.3.ffn_up.weight	Block 3 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.3: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.3: 6.2129 bits

Block 4 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
39	blk.4.attn_k.weight	Block 4 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
40	blk.4.attn_norm.weight	Block 4 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
41	blk.4.attn_output.weight	Block 4 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
42	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
43	blk.4.attn_v.weight	Block 4 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
44	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
45	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
46	blk.4.ffn_norm.weight	Block 4 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
47	blk.4.ffn_up.weight	Block 4 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.4: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.4: 6.3024 bits

Block 5 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
48	blk.5.attn_k.weight	Block 5 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
49	blk.5.attn_norm.weight	Block 5 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
50	blk.5.attn_output.weight	Block 5 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
51	blk.5.attn_q.weight	Block 5 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
52	blk.5.attn_v.weight	Block 5 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
53	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
54	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
55	blk.5.ffn_norm.weight	Block 5 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
56	blk.5.ffn_up.weight	Block 5 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.5: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.5: 6.2129 bits

Block 6 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
57	blk.6.attn_k.weight	Block 6 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
58	blk.6.attn_norm.weight	Block 6 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
59	blk.6.attn_output.weight	Block 6 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
60	blk.6.attn_q.weight	Block 6 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
61	blk.6.attn_v.weight	Block 6 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
62	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
63	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
64	blk.6.ffn_norm.weight	Block 6 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
65	blk.6.ffn_up.weight	Block 6 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.6: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.6: 6.2129 bits

Block 7 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
66	blk.7.attn_k.weight	Block 7 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
67	blk.7.attn_norm.weight	Block 7 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
68	blk.7.attn_output.weight	Block 7 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
69	blk.7.attn_q.weight	Block 7 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
70	blk.7.attn_v.weight	Block 7 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
71	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
72	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
73	blk.7.ffn_norm.weight	Block 7 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
74	blk.7.ffn_up.weight	Block 7 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.7: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.7: 6.6043 bits

Block 8 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
75	blk.8.attn_k.weight	Block 8 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
76	blk.8.attn_norm.weight	Block 8 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
77	blk.8.attn_output.weight	Block 8 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
78	blk.8.attn_q.weight	Block 8 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
79	blk.8.attn_v.weight	Block 8 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
80	blk.8.ffn_down.weight	Block 8 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
81	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
82	blk.8.ffn_norm.weight	Block 8 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
83	blk.8.ffn_up.weight	Block 8 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.8: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.8: 5.9333 bits

Block 9 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
84	blk.9.attn_k.weight	Block 9 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
85	blk.9.attn_norm.weight	Block 9 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
86	blk.9.attn_output.weight	Block 9 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
87	blk.9.attn_q.weight	Block 9 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
88	blk.9.attn_v.weight	Block 9 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
89	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
90	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
91	blk.9.ffn_norm.weight	Block 9 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
92	blk.9.ffn_up.weight	Block 9 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.9: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.9: 5.9333 bits

Block 10 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
93	blk.10.attn_k.weight	Block 10 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
94	blk.10.attn_norm.weight	Block 10 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
95	blk.10.attn_output.weight	Block 10 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
96	blk.10.attn_q.weight	Block 10 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
97	blk.10.attn_v.weight	Block 10 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
98	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
99	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
100	blk.10.ffn_norm.weight	Block 10 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
101	blk.10.ffn_up.weight	Block 10 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.10: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.10: 5.9333 bits

Block 11 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
102	blk.11.attn_k.weight	Block 11 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
103	blk.11.attn_norm.weight	Block 11 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
104	blk.11.attn_output.weight	Block 11 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
105	blk.11.attn_q.weight	Block 11 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
106	blk.11.attn_v.weight	Block 11 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
107	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
108	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
109	blk.11.ffn_norm.weight	Block 11 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
110	blk.11.ffn_up.weight	Block 11 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.11: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.11: 6.2129 bits

Block 12 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
111	blk.12.attn_k.weight	Block 12 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
112	blk.12.attn_norm.weight	Block 12 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
113	blk.12.attn_output.weight	Block 12 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
114	blk.12.attn_q.weight	Block 12 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
115	blk.12.attn_v.weight	Block 12 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
116	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
117	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
118	blk.12.ffn_norm.weight	Block 12 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
119	blk.12.ffn_up.weight	Block 12 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.12: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.12: 6.2129 bits

Block 13 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
120	blk.13.attn_k.weight	Block 13 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
121	blk.13.attn_norm.weight	Block 13 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
122	blk.13.attn_output.weight	Block 13 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
123	blk.13.attn_q.weight	Block 13 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
124	blk.13.attn_v.weight	Block 13 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
125	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
126	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
127	blk.13.ffn_norm.weight	Block 13 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
128	blk.13.ffn_up.weight	Block 13 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.13: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.13: 6.2129 bits

Block 14 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
129	blk.14.attn_k.weight	Block 14 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
130	blk.14.attn_norm.weight	Block 14 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
131	blk.14.attn_output.weight	Block 14 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
132	blk.14.attn_q.weight	Block 14 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
133	blk.14.attn_v.weight	Block 14 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
134	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
135	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
136	blk.14.ffn_norm.weight	Block 14 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
137	blk.14.ffn_up.weight	Block 14 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.14: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.14: 6.4925 bits

Block 15 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
138	blk.15.attn_k.weight	Block 15 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
139	blk.15.attn_norm.weight	Block 15 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
140	blk.15.attn_output.weight	Block 15 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
141	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
142	blk.15.attn_v.weight	Block 15 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
143	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
144	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
145	blk.15.ffn_norm.weight	Block 15 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
146	blk.15.ffn_up.weight	Block 15 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.15: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.15: 6.5820 bits

Block 16 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
147	blk.16.attn_k.weight	Block 16 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
148	blk.16.attn_norm.weight	Block 16 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
149	blk.16.attn_output.weight	Block 16 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
150	blk.16.attn_q.weight	Block 16 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
151	blk.16.attn_v.weight	Block 16 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
152	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
153	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
154	blk.16.ffn_norm.weight	Block 16 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
155	blk.16.ffn_up.weight	Block 16 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.16: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.16: 6.6043 bits

Block 17 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
156	blk.17.attn_k.weight	Block 17 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
157	blk.17.attn_norm.weight	Block 17 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
158	blk.17.attn_output.weight	Block 17 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
159	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
160	blk.17.attn_v.weight	Block 17 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
161	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
162	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
163	blk.17.ffn_norm.weight	Block 17 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
164	blk.17.ffn_up.weight	Block 17 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.17: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.17: 6.5820 bits

Block 18 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
165	blk.18.attn_k.weight	Block 18 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
166	blk.18.attn_norm.weight	Block 18 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
167	blk.18.attn_output.weight	Block 18 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
168	blk.18.attn_q.weight	Block 18 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
169	blk.18.attn_v.weight	Block 18 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
170	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
171	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
172	blk.18.ffn_norm.weight	Block 18 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
173	blk.18.ffn_up.weight	Block 18 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.18: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.18: 6.4925 bits

Block 19 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
174	blk.19.attn_k.weight	Block 19 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
175	blk.19.attn_norm.weight	Block 19 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
176	blk.19.attn_output.weight	Block 19 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
177	blk.19.attn_q.weight	Block 19 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
178	blk.19.attn_v.weight	Block 19 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
179	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
180	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
181	blk.19.ffn_norm.weight	Block 19 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
182	blk.19.ffn_up.weight	Block 19 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.19: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.19: 6.4925 bits

Block 20 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
183	blk.20.attn_k.weight	Block 20 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
184	blk.20.attn_norm.weight	Block 20 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
185	blk.20.attn_output.weight	Block 20 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
186	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
187	blk.20.attn_v.weight	Block 20 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
188	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
189	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
190	blk.20.ffn_norm.weight	Block 20 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
191	blk.20.ffn_up.weight	Block 20 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.20: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.20: 6.5820 bits

Block 21 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
192	blk.21.attn_k.weight	Block 21 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
193	blk.21.attn_norm.weight	Block 21 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
194	blk.21.attn_output.weight	Block 21 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
195	blk.21.attn_q.weight	Block 21 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
196	blk.21.attn_v.weight	Block 21 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
197	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
198	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
199	blk.21.ffn_norm.weight	Block 21 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
200	blk.21.ffn_up.weight	Block 21 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.21: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.21: 6.4925 bits

Block 22 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
201	blk.22.attn_k.weight	Block 22 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
202	blk.22.attn_norm.weight	Block 22 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
203	blk.22.attn_output.weight	Block 22 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
204	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
205	blk.22.attn_v.weight	Block 22 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
206	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
207	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
208	blk.22.ffn_norm.weight	Block 22 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
209	blk.22.ffn_up.weight	Block 22 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.22: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.22: 6.5820 bits

Block 23 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
210	blk.23.attn_k.weight	Block 23 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
211	blk.23.attn_norm.weight	Block 23 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
212	blk.23.attn_output.weight	Block 23 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
213	blk.23.attn_q.weight	Block 23 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
214	blk.23.attn_v.weight	Block 23 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
215	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
216	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
217	blk.23.ffn_norm.weight	Block 23 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
218	blk.23.ffn_up.weight	Block 23 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.23: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.23: 6.5820 bits

Block 24 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
219	blk.24.attn_k.weight	Block 24 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
220	blk.24.attn_norm.weight	Block 24 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
221	blk.24.attn_output.weight	Block 24 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
222	blk.24.attn_q.weight	Block 24 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
223	blk.24.attn_v.weight	Block 24 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
224	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
225	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
226	blk.24.ffn_norm.weight	Block 24 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
227	blk.24.ffn_up.weight	Block 24 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.24: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.24: 6.4925 bits

Block 25 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
228	blk.25.attn_k.weight	Block 25 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
229	blk.25.attn_norm.weight	Block 25 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
230	blk.25.attn_output.weight	Block 25 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
231	blk.25.attn_q.weight	Block 25 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
232	blk.25.attn_v.weight	Block 25 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
233	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
234	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
235	blk.25.ffn_norm.weight	Block 25 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
236	blk.25.ffn_up.weight	Block 25 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.25: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.25: 6.5820 bits

Block 26 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
237	blk.26.attn_k.weight	Block 26 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
238	blk.26.attn_norm.weight	Block 26 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
239	blk.26.attn_output.weight	Block 26 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
240	blk.26.attn_q.weight	Block 26 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
241	blk.26.attn_v.weight	Block 26 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
242	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
243	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
244	blk.26.ffn_norm.weight	Block 26 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
245	blk.26.ffn_up.weight	Block 26 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.26: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.26: 6.4925 bits

Block 27 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
246	blk.27.attn_k.weight	Block 27 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
247	blk.27.attn_norm.weight	Block 27 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
248	blk.27.attn_output.weight	Block 27 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
249	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
250	blk.27.attn_v.weight	Block 27 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
251	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
252	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
253	blk.27.ffn_norm.weight	Block 27 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
254	blk.27.ffn_up.weight	Block 27 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.27: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.27: 6.5820 bits

Block 28 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
255	blk.28.attn_k.weight	Block 28 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
256	blk.28.attn_norm.weight	Block 28 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
257	blk.28.attn_output.weight	Block 28 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
258	blk.28.attn_q.weight	Block 28 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
259	blk.28.attn_v.weight	Block 28 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
260	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
261	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
262	blk.28.ffn_norm.weight	Block 28 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
263	blk.28.ffn_up.weight	Block 28 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.28: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.28: 6.6043 bits

Block 29 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
264	blk.29.attn_k.weight	Block 29 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
265	blk.29.attn_norm.weight	Block 29 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
266	blk.29.attn_output.weight	Block 29 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
267	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
268	blk.29.attn_v.weight	Block 29 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
269	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
270	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
271	blk.29.ffn_norm.weight	Block 29 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
272	blk.29.ffn_up.weight	Block 29 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.29: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.29: 6.5820 bits

Block 30 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
273	blk.30.attn_k.weight	Block 30 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
274	blk.30.attn_norm.weight	Block 30 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
275	blk.30.attn_output.weight	Block 30 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
276	blk.30.attn_q.weight	Block 30 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
277	blk.30.attn_v.weight	Block 30 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
278	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
279	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
280	blk.30.ffn_norm.weight	Block 30 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
281	blk.30.ffn_up.weight	Block 30 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.30: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.30: 6.6043 bits

Block 31 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
282	blk.31.attn_k.weight	Block 31 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
283	blk.31.attn_norm.weight	Block 31 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
284	blk.31.attn_output.weight	Block 31 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
285	blk.31.attn_q.weight	Block 31 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
286	blk.31.attn_v.weight	Block 31 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
287	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
288	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
289	blk.31.ffn_norm.weight	Block 31 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
290	blk.31.ffn_up.weight	Block 31 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.31: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.31: 6.5820 bits

Block 32 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
291	blk.32.attn_k.weight	Block 32 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
292	blk.32.attn_norm.weight	Block 32 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
293	blk.32.attn_output.weight	Block 32 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
294	blk.32.attn_q.weight	Block 32 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
295	blk.32.attn_v.weight	Block 32 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
296	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
297	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
298	blk.32.ffn_norm.weight	Block 32 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
299	blk.32.ffn_up.weight	Block 32 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.32: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.32: 6.5820 bits

Block 33 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
300	blk.33.attn_k.weight	Block 33 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
301	blk.33.attn_norm.weight	Block 33 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
302	blk.33.attn_output.weight	Block 33 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
303	blk.33.attn_q.weight	Block 33 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
304	blk.33.attn_v.weight	Block 33 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
305	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
306	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
307	blk.33.ffn_norm.weight	Block 33 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
308	blk.33.ffn_up.weight	Block 33 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.33: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.33: 6.2129 bits

Block 34 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
309	blk.34.attn_k.weight	Block 34 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
310	blk.34.attn_norm.weight	Block 34 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
311	blk.34.attn_output.weight	Block 34 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
312	blk.34.attn_q.weight	Block 34 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
313	blk.34.attn_v.weight	Block 34 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
314	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
315	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
316	blk.34.ffn_norm.weight	Block 34 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
317	blk.34.ffn_up.weight	Block 34 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.34: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.34: 6.5820 bits

Block 35 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
318	blk.35.attn_k.weight	Block 35 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
319	blk.35.attn_norm.weight	Block 35 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
320	blk.35.attn_output.weight	Block 35 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
321	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
322	blk.35.attn_v.weight	Block 35 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
323	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
324	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
325	blk.35.ffn_norm.weight	Block 35 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
326	blk.35.ffn_up.weight	Block 35 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.35: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.35: 6.2616 bits

Block 36 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
327	blk.36.attn_k.weight	Block 36 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
328	blk.36.attn_norm.weight	Block 36 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
329	blk.36.attn_output.weight	Block 36 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
330	blk.36.attn_q.weight	Block 36 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
331	blk.36.attn_v.weight	Block 36 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
332	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
333	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
334	blk.36.ffn_norm.weight	Block 36 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
335	blk.36.ffn_up.weight	Block 36 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.36: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.36: 6.2616 bits

Block 37 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
336	blk.37.attn_k.weight	Block 37 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
337	blk.37.attn_norm.weight	Block 37 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
338	blk.37.attn_output.weight	Block 37 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
339	blk.37.attn_q.weight	Block 37 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
340	blk.37.attn_v.weight	Block 37 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
341	blk.37.ffn_down.weight	Block 37 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
342	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
343	blk.37.ffn_norm.weight	Block 37 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
344	blk.37.ffn_up.weight	Block 37 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.37: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.37: 6.4517 bits

Block 38 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
345	blk.38.attn_k.weight	Block 38 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
346	blk.38.attn_norm.weight	Block 38 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
347	blk.38.attn_output.weight	Block 38 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
348	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
349	blk.38.attn_v.weight	Block 38 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
350	blk.38.ffn_down.weight	Block 38 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
351	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
352	blk.38.ffn_norm.weight	Block 38 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
353	blk.38.ffn_up.weight	Block 38 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.38: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.38: 6.5412 bits

Block 39 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
354	blk.39.attn_k.weight	Block 39 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
355	blk.39.attn_norm.weight	Block 39 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
356	blk.39.attn_output.weight	Block 39 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
357	blk.39.attn_q.weight	Block 39 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
358	blk.39.attn_v.weight	Block 39 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q6_K	6.5625
359	blk.39.ffn_down.weight	Block 39 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
360	blk.39.ffn_gate.weight	Block 39 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
361	blk.39.ffn_norm.weight	Block 39 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
362	blk.39.ffn_up.weight	Block 39 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625

• Total elements in blk.39: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.39: 6.1721 bits

Total BPW for granite-4.1-8b-Q6_K.gguf: 6.4998 bits