granite-4.1-8b-GGUF/scores/granite-4.1-8b-Q4_K.md

granite-4.1-8b-WIP/granite-4.1-8b-Q4_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	15
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-Q4_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	0x10d80000
1	output_norm.weight	0x110e7400	0x4000
2	token_embd.weight	0x110eb400	0xdc80000
3	blk.0.attn_k.weight	0x1ed6b400	0x1b8000
4	blk.0.attn_norm.weight	0x1ef23400	0x4000
5	blk.0.attn_output.weight	0x1ef27400	0x900000
6	blk.0.attn_q.weight	0x1f827400	0x620000
7	blk.0.attn_v.weight	0x1fe47400	0x240000
8	blk.0.ffn_down.weight	0x20087400	0x1a90000
9	blk.0.ffn_gate.weight	0x21b17400	0x1324000
10	blk.0.ffn_norm.weight	0x22e3b400	0x4000
11	blk.0.ffn_up.weight	0x22e3f400	0x1c20000
12	blk.1.attn_k.weight	0x24a5f400	0x220000
13	blk.1.attn_norm.weight	0x24c7f400	0x4000
14	blk.1.attn_output.weight	0x24c83400	0xb00000
15	blk.1.attn_q.weight	0x25783400	0x900000
16	blk.1.attn_v.weight	0x26083400	0x2c0000
17	blk.1.ffn_down.weight	0x26343400	0x1a90000
18	blk.1.ffn_gate.weight	0x27dd3400	0x1a90000
19	blk.1.ffn_norm.weight	0x29863400	0x4000
20	blk.1.ffn_up.weight	0x29867400	0x2260000
21	blk.2.attn_k.weight	0x2bac7400	0x220000
22	blk.2.attn_norm.weight	0x2bce7400	0x4000
23	blk.2.attn_output.weight	0x2bceb400	0xb00000
24	blk.2.attn_q.weight	0x2c7eb400	0x900000
25	blk.2.attn_v.weight	0x2d0eb400	0x2c0000
26	blk.2.ffn_down.weight	0x2d3ab400	0x1a90000
27	blk.2.ffn_gate.weight	0x2ee3b400	0x1a90000
28	blk.2.ffn_norm.weight	0x308cb400	0x4000
29	blk.2.ffn_up.weight	0x308cf400	0x2260000
30	blk.3.attn_k.weight	0x32b2f400	0x220000
31	blk.3.attn_norm.weight	0x32d4f400	0x4000
32	blk.3.attn_output.weight	0x32d53400	0xb00000
33	blk.3.attn_q.weight	0x33853400	0x900000
34	blk.3.attn_v.weight	0x34153400	0x2c0000
35	blk.3.ffn_down.weight	0x34413400	0x1c20000
36	blk.3.ffn_gate.weight	0x36033400	0x1a90000
37	blk.3.ffn_norm.weight	0x37ac3400	0x4000
38	blk.3.ffn_up.weight	0x37ac7400	0x1c20000
39	blk.4.attn_k.weight	0x396e7400	0x240000
40	blk.4.attn_norm.weight	0x39927400	0x4000
41	blk.4.attn_output.weight	0x3992b400	0xb00000
42	blk.4.attn_q.weight	0x3a42b400	0x900000
43	blk.4.attn_v.weight	0x3ad2b400	0x2c0000
44	blk.4.ffn_down.weight	0x3afeb400	0x1a90000
45	blk.4.ffn_gate.weight	0x3ca7b400	0x1a90000
46	blk.4.ffn_norm.weight	0x3e50b400	0x4000
47	blk.4.ffn_up.weight	0x3e50f400	0x1a90000
48	blk.5.attn_k.weight	0x3ff9f400	0x240000
49	blk.5.attn_norm.weight	0x401df400	0x4000
50	blk.5.attn_output.weight	0x401e3400	0xb00000
51	blk.5.attn_q.weight	0x40ce3400	0x900000
52	blk.5.attn_v.weight	0x415e3400	0x2c0000
53	blk.5.ffn_down.weight	0x418a3400	0x1c20000
54	blk.5.ffn_gate.weight	0x434c3400	0x1a90000
55	blk.5.ffn_norm.weight	0x44f53400	0x4000
56	blk.5.ffn_up.weight	0x44f57400	0x1c20000
57	blk.6.attn_k.weight	0x46b77400	0x240000
58	blk.6.attn_norm.weight	0x46db7400	0x4000
59	blk.6.attn_output.weight	0x46dbb400	0xb00000
60	blk.6.attn_q.weight	0x478bb400	0x900000
61	blk.6.attn_v.weight	0x481bb400	0x2c0000
62	blk.6.ffn_down.weight	0x4847b400	0x1a90000
63	blk.6.ffn_gate.weight	0x49f0b400	0x1a90000
64	blk.6.ffn_norm.weight	0x4b99b400	0x4000
65	blk.6.ffn_up.weight	0x4b99f400	0x1a90000
66	blk.7.attn_k.weight	0x4d42f400	0x240000
67	blk.7.attn_norm.weight	0x4d66f400	0x4000
68	blk.7.attn_output.weight	0x4d673400	0xb00000
69	blk.7.attn_q.weight	0x4e173400	0x900000
70	blk.7.attn_v.weight	0x4ea73400	0x2c0000
71	blk.7.ffn_down.weight	0x4ed33400	0x1a90000
72	blk.7.ffn_gate.weight	0x507c3400	0x1a90000
73	blk.7.ffn_norm.weight	0x52253400	0x4000
74	blk.7.ffn_up.weight	0x52257400	0x1c20000
75	blk.8.attn_k.weight	0x53e77400	0x240000
76	blk.8.attn_norm.weight	0x540b7400	0x4000
77	blk.8.attn_output.weight	0x540bb400	0xb00000
78	blk.8.attn_q.weight	0x54bbb400	0x900000
79	blk.8.attn_v.weight	0x554bb400	0x2c0000
80	blk.8.ffn_down.weight	0x5577b400	0x1a90000
81	blk.8.ffn_gate.weight	0x5720b400	0x1a90000
82	blk.8.ffn_norm.weight	0x58c9b400	0x4000
83	blk.8.ffn_up.weight	0x58c9f400	0x1a90000
84	blk.9.attn_k.weight	0x5a72f400	0x240000
85	blk.9.attn_norm.weight	0x5a96f400	0x4000
86	blk.9.attn_output.weight	0x5a973400	0xb00000
87	blk.9.attn_q.weight	0x5b473400	0x900000
88	blk.9.attn_v.weight	0x5bd73400	0x2c0000
89	blk.9.ffn_down.weight	0x5c033400	0x1a90000
90	blk.9.ffn_gate.weight	0x5dac3400	0x1a90000
91	blk.9.ffn_norm.weight	0x5f553400	0x4000
92	blk.9.ffn_up.weight	0x5f557400	0x1a90000
93	blk.10.attn_k.weight	0x60fe7400	0x240000
94	blk.10.attn_norm.weight	0x61227400	0x4000
95	blk.10.attn_output.weight	0x6122b400	0xb00000
96	blk.10.attn_q.weight	0x61d2b400	0x900000
97	blk.10.attn_v.weight	0x6262b400	0x2c0000
98	blk.10.ffn_down.weight	0x628eb400	0x1a90000
99	blk.10.ffn_gate.weight	0x6437b400	0x1a90000
100	blk.10.ffn_norm.weight	0x65e0b400	0x4000
101	blk.10.ffn_up.weight	0x65e0f400	0x2260000
102	blk.11.attn_k.weight	0x6806f400	0x220000
103	blk.11.attn_norm.weight	0x6828f400	0x4000
104	blk.11.attn_output.weight	0x68293400	0xb00000
105	blk.11.attn_q.weight	0x68d93400	0x900000
106	blk.11.attn_v.weight	0x69693400	0x2c0000
107	blk.11.ffn_down.weight	0x69953400	0x1a90000
108	blk.11.ffn_gate.weight	0x6b3e3400	0x1a90000
109	blk.11.ffn_norm.weight	0x6ce73400	0x4000
110	blk.11.ffn_up.weight	0x6ce77400	0x1a90000
111	blk.12.attn_k.weight	0x6e907400	0x240000
112	blk.12.attn_norm.weight	0x6eb47400	0x4000
113	blk.12.attn_output.weight	0x6eb4b400	0xb00000
114	blk.12.attn_q.weight	0x6f64b400	0x900000
115	blk.12.attn_v.weight	0x6ff4b400	0x2c0000
116	blk.12.ffn_down.weight	0x7020b400	0x1a90000
117	blk.12.ffn_gate.weight	0x71c9b400	0x1a90000
118	blk.12.ffn_norm.weight	0x7372b400	0x4000
119	blk.12.ffn_up.weight	0x7372f400	0x1a90000
120	blk.13.attn_k.weight	0x751bf400	0x240000
121	blk.13.attn_norm.weight	0x753ff400	0x4000
122	blk.13.attn_output.weight	0x75403400	0xb00000
123	blk.13.attn_q.weight	0x75f03400	0x900000
124	blk.13.attn_v.weight	0x76803400	0x2c0000
125	blk.13.ffn_down.weight	0x76ac3400	0x1a90000
126	blk.13.ffn_gate.weight	0x78553400	0x1a90000
127	blk.13.ffn_norm.weight	0x79fe3400	0x4000
128	blk.13.ffn_up.weight	0x79fe7400	0x1a90000
129	blk.14.attn_k.weight	0x7ba77400	0x240000
130	blk.14.attn_norm.weight	0x7bcb7400	0x4000
131	blk.14.attn_output.weight	0x7bcbb400	0xb00000
132	blk.14.attn_q.weight	0x7c7bb400	0x900000
133	blk.14.attn_v.weight	0x7d0bb400	0x2c0000
134	blk.14.ffn_down.weight	0x7d37b400	0x1a90000
135	blk.14.ffn_gate.weight	0x7ee0b400	0x1a90000
136	blk.14.ffn_norm.weight	0x8089b400	0x4000
137	blk.14.ffn_up.weight	0x8089f400	0x1a90000
138	blk.15.attn_k.weight	0x8232f400	0x240000
139	blk.15.attn_norm.weight	0x8256f400	0x4000
140	blk.15.attn_output.weight	0x82573400	0xb00000
141	blk.15.attn_q.weight	0x83073400	0x900000
142	blk.15.attn_v.weight	0x83973400	0x2c0000
143	blk.15.ffn_down.weight	0x83c33400	0x1a90000
144	blk.15.ffn_gate.weight	0x856c3400	0x1a90000
145	blk.15.ffn_norm.weight	0x87153400	0x4000
146	blk.15.ffn_up.weight	0x87157400	0x1a90000
147	blk.16.attn_k.weight	0x88be7400	0x240000
148	blk.16.attn_norm.weight	0x88e27400	0x4000
149	blk.16.attn_output.weight	0x88e2b400	0xb00000
150	blk.16.attn_q.weight	0x8992b400	0x900000
151	blk.16.attn_v.weight	0x8a22b400	0x2c0000
152	blk.16.ffn_down.weight	0x8a4eb400	0x1a90000
153	blk.16.ffn_gate.weight	0x8bf7b400	0x1a90000
154	blk.16.ffn_norm.weight	0x8da0b400	0x4000
155	blk.16.ffn_up.weight	0x8da0f400	0x1a90000
156	blk.17.attn_k.weight	0x8f49f400	0x240000
157	blk.17.attn_norm.weight	0x8f6df400	0x4000
158	blk.17.attn_output.weight	0x8f6e3400	0xb00000
159	blk.17.attn_q.weight	0x901e3400	0x900000
160	blk.17.attn_v.weight	0x90ae3400	0x2c0000
161	blk.17.ffn_down.weight	0x90da3400	0x1a90000
162	blk.17.ffn_gate.weight	0x92833400	0x1a90000
163	blk.17.ffn_norm.weight	0x942c3400	0x4000
164	blk.17.ffn_up.weight	0x942c7400	0x1a90000
165	blk.18.attn_k.weight	0x95d57400	0x220000
166	blk.18.attn_norm.weight	0x95f77400	0x4000
167	blk.18.attn_output.weight	0x95f7b400	0xb00000
168	blk.18.attn_q.weight	0x96a7b400	0x900000
169	blk.18.attn_v.weight	0x9737b400	0x2c0000
170	blk.18.ffn_down.weight	0x9763b400	0x1a90000
171	blk.18.ffn_gate.weight	0x990cb400	0x1a90000
172	blk.18.ffn_norm.weight	0x9ab5b400	0x4000
173	blk.18.ffn_up.weight	0x9ab5f400	0x1a90000
174	blk.19.attn_k.weight	0x9c5ef400	0x240000
175	blk.19.attn_norm.weight	0x9c82f400	0x4000
176	blk.19.attn_output.weight	0x9c833400	0xb00000
177	blk.19.attn_q.weight	0x9d333400	0x900000
178	blk.19.attn_v.weight	0x9dc33400	0x2c0000
179	blk.19.ffn_down.weight	0x9def3400	0x1a90000
180	blk.19.ffn_gate.weight	0x9f983400	0x1a90000
181	blk.19.ffn_norm.weight	0xa1413400	0x4000
182	blk.19.ffn_up.weight	0xa1417400	0x1c20000
183	blk.20.attn_k.weight	0xa3037400	0x240000
184	blk.20.attn_norm.weight	0xa3277400	0x4000
185	blk.20.attn_output.weight	0xa327b400	0xb00000
186	blk.20.attn_q.weight	0xa3d7b400	0x900000
187	blk.20.attn_v.weight	0xa467b400	0x2c0000
188	blk.20.ffn_down.weight	0xa493b400	0x1a90000
189	blk.20.ffn_gate.weight	0xa63cb400	0x1a90000
190	blk.20.ffn_norm.weight	0xa7e5b400	0x4000
191	blk.20.ffn_up.weight	0xa7e5f400	0x1a90000
192	blk.21.attn_k.weight	0xa98ef400	0x220000
193	blk.21.attn_norm.weight	0xa9b0f400	0x4000
194	blk.21.attn_output.weight	0xa9b13400	0xb00000
195	blk.21.attn_q.weight	0xaa613400	0x900000
196	blk.21.attn_v.weight	0xaaf13400	0x2c0000
197	blk.21.ffn_down.weight	0xab1d3400	0x1a90000
198	blk.21.ffn_gate.weight	0xacc63400	0x1a90000
199	blk.21.ffn_norm.weight	0xae6f3400	0x4000
200	blk.21.ffn_up.weight	0xae6f7400	0x1a90000
201	blk.22.attn_k.weight	0xb0187400	0x240000
202	blk.22.attn_norm.weight	0xb03c7400	0x4000
203	blk.22.attn_output.weight	0xb03cb400	0xb00000
204	blk.22.attn_q.weight	0xb0ecb400	0x900000
205	blk.22.attn_v.weight	0xb17cb400	0x2c0000
206	blk.22.ffn_down.weight	0xb1a8b400	0x1a90000
207	blk.22.ffn_gate.weight	0xb351b400	0x1a90000
208	blk.22.ffn_norm.weight	0xb4fab400	0x4000
209	blk.22.ffn_up.weight	0xb4faf400	0x1a90000
210	blk.23.attn_k.weight	0xb6a3f400	0x240000
211	blk.23.attn_norm.weight	0xb6c7f400	0x4000
212	blk.23.attn_output.weight	0xb6c83400	0xb00000
213	blk.23.attn_q.weight	0xb7783400	0x900000
214	blk.23.attn_v.weight	0xb8083400	0x2c0000
215	blk.23.ffn_down.weight	0xb8343400	0x1a90000
216	blk.23.ffn_gate.weight	0xb9dd3400	0x1a90000
217	blk.23.ffn_norm.weight	0xbb863400	0x4000
218	blk.23.ffn_up.weight	0xbb867400	0x1c20000
219	blk.24.attn_k.weight	0xbd487400	0x220000
220	blk.24.attn_norm.weight	0xbd6a7400	0x4000
221	blk.24.attn_output.weight	0xbd6ab400	0xb00000
222	blk.24.attn_q.weight	0xbe1ab400	0x900000
223	blk.24.attn_v.weight	0xbeaab400	0x2c0000
224	blk.24.ffn_down.weight	0xbed6b400	0x1a90000
225	blk.24.ffn_gate.weight	0xc07fb400	0x1a90000
226	blk.24.ffn_norm.weight	0xc228b400	0x4000
227	blk.24.ffn_up.weight	0xc228f400	0x1c20000
228	blk.25.attn_k.weight	0xc3eaf400	0x240000
229	blk.25.attn_norm.weight	0xc40ef400	0x4000
230	blk.25.attn_output.weight	0xc40f3400	0xb00000
231	blk.25.attn_q.weight	0xc4bf3400	0x900000
232	blk.25.attn_v.weight	0xc54f3400	0x2c0000
233	blk.25.ffn_down.weight	0xc57b3400	0x1a90000
234	blk.25.ffn_gate.weight	0xc7243400	0x1a90000
235	blk.25.ffn_norm.weight	0xc8cd3400	0x4000
236	blk.25.ffn_up.weight	0xc8cd7400	0x1c20000
237	blk.26.attn_k.weight	0xca8f7400	0x240000
238	blk.26.attn_norm.weight	0xcab37400	0x4000
239	blk.26.attn_output.weight	0xcab3b400	0xb00000
240	blk.26.attn_q.weight	0xcb63b400	0x900000
241	blk.26.attn_v.weight	0xcbf3b400	0x2c0000
242	blk.26.ffn_down.weight	0xcc1fb400	0x1a90000
243	blk.26.ffn_gate.weight	0xcdc8b400	0x1a90000
244	blk.26.ffn_norm.weight	0xcf71b400	0x4000
245	blk.26.ffn_up.weight	0xcf71f400	0x1a90000
246	blk.27.attn_k.weight	0xd11af400	0x240000
247	blk.27.attn_norm.weight	0xd13ef400	0x4000
248	blk.27.attn_output.weight	0xd13f3400	0xb00000
249	blk.27.attn_q.weight	0xd1ef3400	0x900000
250	blk.27.attn_v.weight	0xd27f3400	0x2c0000
251	blk.27.ffn_down.weight	0xd2ab3400	0x1a90000
252	blk.27.ffn_gate.weight	0xd4543400	0x1a90000
253	blk.27.ffn_norm.weight	0xd5fd3400	0x4000
254	blk.27.ffn_up.weight	0xd5fd7400	0x1a90000
255	blk.28.attn_k.weight	0xd7a67400	0x240000
256	blk.28.attn_norm.weight	0xd7ca7400	0x4000
257	blk.28.attn_output.weight	0xd7cab400	0xb00000
258	blk.28.attn_q.weight	0xd87ab400	0x900000
259	blk.28.attn_v.weight	0xd90ab400	0x2c0000
260	blk.28.ffn_down.weight	0xd936b400	0x1a90000
261	blk.28.ffn_gate.weight	0xdadfb400	0x1a90000
262	blk.28.ffn_norm.weight	0xdc88b400	0x4000
263	blk.28.ffn_up.weight	0xdc88f400	0x1c20000
264	blk.29.attn_k.weight	0xde4af400	0x240000
265	blk.29.attn_norm.weight	0xde6ef400	0x4000
266	blk.29.attn_output.weight	0xde6f3400	0xb00000
267	blk.29.attn_q.weight	0xdf1f3400	0x900000
268	blk.29.attn_v.weight	0xdfaf3400	0x2c0000
269	blk.29.ffn_down.weight	0xdfdb3400	0x1a90000
270	blk.29.ffn_gate.weight	0xe1843400	0x1a90000
271	blk.29.ffn_norm.weight	0xe32d3400	0x4000
272	blk.29.ffn_up.weight	0xe32d7400	0x1c20000
273	blk.30.attn_k.weight	0xe4ef7400	0x240000
274	blk.30.attn_norm.weight	0xe5137400	0x4000
275	blk.30.attn_output.weight	0xe513b400	0xb00000
276	blk.30.attn_q.weight	0xe5c3b400	0x900000
277	blk.30.attn_v.weight	0xe653b400	0x2c0000
278	blk.30.ffn_down.weight	0xe67fb400	0x1a90000
279	blk.30.ffn_gate.weight	0xe828b400	0x1a90000
280	blk.30.ffn_norm.weight	0xe9d1b400	0x4000
281	blk.30.ffn_up.weight	0xe9d1f400	0x1a90000
282	blk.31.attn_k.weight	0xeb7af400	0x240000
283	blk.31.attn_norm.weight	0xeb9ef400	0x4000
284	blk.31.attn_output.weight	0xeb9f3400	0xb00000
285	blk.31.attn_q.weight	0xec4f3400	0x900000
286	blk.31.attn_v.weight	0xecdf3400	0x2c0000
287	blk.31.ffn_down.weight	0xed0b3400	0x1a90000
288	blk.31.ffn_gate.weight	0xeeb43400	0x1a90000
289	blk.31.ffn_norm.weight	0xf05d3400	0x4000
290	blk.31.ffn_up.weight	0xf05d7400	0x1c20000
291	blk.32.attn_k.weight	0xf21f7400	0x240000
292	blk.32.attn_norm.weight	0xf2437400	0x4000
293	blk.32.attn_output.weight	0xf243b400	0xb00000
294	blk.32.attn_q.weight	0xf2f3b400	0x900000
295	blk.32.attn_v.weight	0xf383b400	0x2c0000
296	blk.32.ffn_down.weight	0xf3afb400	0x1a90000
297	blk.32.ffn_gate.weight	0xf558b400	0x1a90000
298	blk.32.ffn_norm.weight	0xf701b400	0x4000
299	blk.32.ffn_up.weight	0xf701f400	0x1c20000
300	blk.33.attn_k.weight	0xf8c3f400	0x240000
301	blk.33.attn_norm.weight	0xf8e7f400	0x4000
302	blk.33.attn_output.weight	0xf8e83400	0xb00000
303	blk.33.attn_q.weight	0xf9983400	0x900000
304	blk.33.attn_v.weight	0xfa283400	0x2c0000
305	blk.33.ffn_down.weight	0xfa543400	0x1a90000
306	blk.33.ffn_gate.weight	0xfbfd3400	0x1a90000
307	blk.33.ffn_norm.weight	0xfda63400	0x4000
308	blk.33.ffn_up.weight	0xfda67400	0x1c20000
309	blk.34.attn_k.weight	0xff687400	0x240000
310	blk.34.attn_norm.weight	0xff8c7400	0x4000
311	blk.34.attn_output.weight	0xff8cb400	0xb00000
312	blk.34.attn_q.weight	0x1003cb400	0x900000
313	blk.34.attn_v.weight	0x100ccb400	0x2c0000
314	blk.34.ffn_down.weight	0x100f8b400	0x1a90000
315	blk.34.ffn_gate.weight	0x102a1b400	0x1a90000
316	blk.34.ffn_norm.weight	0x1044ab400	0x4000
317	blk.34.ffn_up.weight	0x1044af400	0x1c20000
318	blk.35.attn_k.weight	0x1060cf400	0x220000
319	blk.35.attn_norm.weight	0x1062ef400	0x4000
320	blk.35.attn_output.weight	0x1062f3400	0xb00000
321	blk.35.attn_q.weight	0x106df3400	0x900000
322	blk.35.attn_v.weight	0x1076f3400	0x240000
323	blk.35.ffn_down.weight	0x107933400	0x1a90000
324	blk.35.ffn_gate.weight	0x1093c3400	0x1a90000
325	blk.35.ffn_norm.weight	0x10ae53400	0x4000
326	blk.35.ffn_up.weight	0x10ae57400	0x1a90000
327	blk.36.attn_k.weight	0x10c8e7400	0x220000
328	blk.36.attn_norm.weight	0x10cb07400	0x4000
329	blk.36.attn_output.weight	0x10cb0b400	0xb00000
330	blk.36.attn_q.weight	0x10d60b400	0x900000
331	blk.36.attn_v.weight	0x10df0b400	0x240000
332	blk.36.ffn_down.weight	0x10e14b400	0x1a90000
333	blk.36.ffn_gate.weight	0x10fbdb400	0x1a90000
334	blk.36.ffn_norm.weight	0x11166b400	0x4000
335	blk.36.ffn_up.weight	0x11166f400	0x1a90000
336	blk.37.attn_k.weight	0x1130ff400	0x220000
337	blk.37.attn_norm.weight	0x11331f400	0x4000
338	blk.37.attn_output.weight	0x113323400	0xb00000
339	blk.37.attn_q.weight	0x113e23400	0x900000
340	blk.37.attn_v.weight	0x114723400	0x2c0000
341	blk.37.ffn_down.weight	0x1149e3400	0x1a90000
342	blk.37.ffn_gate.weight	0x116473400	0x1a90000
343	blk.37.ffn_norm.weight	0x117f03400	0x4000
344	blk.37.ffn_up.weight	0x117f07400	0x1a90000
345	blk.38.attn_k.weight	0x119997400	0x220000
346	blk.38.attn_norm.weight	0x119bb7400	0x4000
347	blk.38.attn_output.weight	0x119bbb400	0xb00000
348	blk.38.attn_q.weight	0x11a6bb400	0x880000
349	blk.38.attn_v.weight	0x11af3b400	0x240000
350	blk.38.ffn_down.weight	0x11b17b400	0x1a90000
351	blk.38.ffn_gate.weight	0x11cc0b400	0x1a90000
352	blk.38.ffn_norm.weight	0x11e69b400	0x4000
353	blk.38.ffn_up.weight	0x11e69f400	0x1c20000
354	blk.39.attn_k.weight	0x1202bf400	0x220000
355	blk.39.attn_norm.weight	0x1204df400	0x4000
356	blk.39.attn_output.weight	0x1204e3400	0xb00000
357	blk.39.attn_q.weight	0x120fe3400	0x880000
358	blk.39.attn_v.weight	0x121863400	0x2c0000
359	blk.39.ffn_down.weight	0x121b23400	0x1c20000
360	blk.39.ffn_gate.weight	0x123743400	0x1c20000
361	blk.39.ffn_norm.weight	0x125363400	0x4000
362	blk.39.ffn_up.weight	0x125367400	0x1c20000

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	Q5_K	5.5000
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	Q4_K	4.5000

• Total elements in base: (~822M) 822087680
• Percentage of total elements: 9.35%
• Bits per Weight (BPW) for base: 5.0001 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	IQ3_S	3.4375
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	Q4_K	4.5000
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_XXS	3.0625
7	blk.0.attn_v.weight	Block 0 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
8	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
9	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	Q4_K	4.5000

• Total elements in blk.0: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.0: 3.9137 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	IQ4_XS	4.2500
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	Q5_K	5.5000
15	blk.1.attn_q.weight	Block 1 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
16	blk.1.attn_v.weight	Block 1 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
17	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
18	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q5_K	5.5000

• Total elements in blk.1: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.1: 4.7327 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	IQ4_XS	4.2500
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	Q5_K	5.5000
24	blk.2.attn_q.weight	Block 2 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
25	blk.2.attn_v.weight	Block 2 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
26	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
27	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q5_K	5.5000

• Total elements in blk.2: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.2: 4.7327 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	IQ4_XS	4.2500
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	Q5_K	5.5000
33	blk.3.attn_q.weight	Block 3 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
34	blk.3.attn_v.weight	Block 3 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
35	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q4_K	4.5000
36	blk.3.ffn_gate.weight	Block 3 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.3: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.3: 4.5353 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	Q4_K	4.5000
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	Q5_K	5.5000
42	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
43	blk.4.attn_v.weight	Block 4 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
44	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
45	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.4: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.4: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
51	blk.5.attn_q.weight	Block 5 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
52	blk.5.attn_v.weight	Block 5 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
53	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q4_K	4.5000
54	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.5: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.5: 4.5406 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	Q4_K	4.5000
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	Q5_K	5.5000
60	blk.6.attn_q.weight	Block 6 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
61	blk.6.attn_v.weight	Block 6 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
62	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
63	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.6: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.6: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
69	blk.7.attn_q.weight	Block 7 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
70	blk.7.attn_v.weight	Block 7 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
71	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
72	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.7: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.7: 4.4748 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	Q4_K	4.5000
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	Q5_K	5.5000
78	blk.8.attn_q.weight	Block 8 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
79	blk.8.attn_v.weight	Block 8 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
80	blk.8.ffn_down.weight	Block 8 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
81	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.8: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.8: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
87	blk.9.attn_q.weight	Block 9 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
88	blk.9.attn_v.weight	Block 9 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
89	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
90	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.9: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.9: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
96	blk.10.attn_q.weight	Block 10 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
97	blk.10.attn_v.weight	Block 10 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
98	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
99	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q5_K	5.5000

• Total elements in blk.10: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.10: 4.7380 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	IQ4_XS	4.2500
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	Q5_K	5.5000
105	blk.11.attn_q.weight	Block 11 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
106	blk.11.attn_v.weight	Block 11 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
107	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
108	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.11: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.11: 4.4038 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	Q4_K	4.5000
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	Q5_K	5.5000
114	blk.12.attn_q.weight	Block 12 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
115	blk.12.attn_v.weight	Block 12 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
116	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
117	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.12: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.12: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
123	blk.13.attn_q.weight	Block 13 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
124	blk.13.attn_v.weight	Block 13 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
125	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
126	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.13: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.13: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
132	blk.14.attn_q.weight	Block 14 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
133	blk.14.attn_v.weight	Block 14 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
134	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
135	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.14: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.14: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
141	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
142	blk.15.attn_v.weight	Block 15 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
143	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
144	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.15: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.15: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
150	blk.16.attn_q.weight	Block 16 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
151	blk.16.attn_v.weight	Block 16 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
152	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
153	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.16: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.16: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
159	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
160	blk.17.attn_v.weight	Block 17 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
161	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
162	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.17: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.17: 4.4090 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	IQ4_XS	4.2500
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	Q5_K	5.5000
168	blk.18.attn_q.weight	Block 18 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
169	blk.18.attn_v.weight	Block 18 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
170	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
171	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.18: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.18: 4.4038 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	Q4_K	4.5000
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	Q5_K	5.5000
177	blk.19.attn_q.weight	Block 19 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
178	blk.19.attn_v.weight	Block 19 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
179	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
180	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.19: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.19: 4.4748 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	Q4_K	4.5000
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	Q5_K	5.5000
186	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
187	blk.20.attn_v.weight	Block 20 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
188	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
189	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.20: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.20: 4.4090 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	IQ4_XS	4.2500
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	Q5_K	5.5000
195	blk.21.attn_q.weight	Block 21 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
196	blk.21.attn_v.weight	Block 21 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
197	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
198	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.21: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.21: 4.4038 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	Q4_K	4.5000
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	Q5_K	5.5000
204	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
205	blk.22.attn_v.weight	Block 22 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
206	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
207	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.22: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.22: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
213	blk.23.attn_q.weight	Block 23 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
214	blk.23.attn_v.weight	Block 23 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
215	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
216	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.23: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.23: 4.4748 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	IQ4_XS	4.2500
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	Q5_K	5.5000
222	blk.24.attn_q.weight	Block 24 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
223	blk.24.attn_v.weight	Block 24 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
224	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
225	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.24: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.24: 4.4696 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	Q4_K	4.5000
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	Q5_K	5.5000
231	blk.25.attn_q.weight	Block 25 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
232	blk.25.attn_v.weight	Block 25 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
233	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
234	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.25: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.25: 4.4748 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	Q4_K	4.5000
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	Q5_K	5.5000
240	blk.26.attn_q.weight	Block 26 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
241	blk.26.attn_v.weight	Block 26 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
242	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
243	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.26: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.26: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
249	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
250	blk.27.attn_v.weight	Block 27 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
251	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
252	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.27: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.27: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
258	blk.28.attn_q.weight	Block 28 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
259	blk.28.attn_v.weight	Block 28 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
260	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
261	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.28: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.28: 4.4748 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	Q4_K	4.5000
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	Q5_K	5.5000
267	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
268	blk.29.attn_v.weight	Block 29 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
269	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
270	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.29: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.29: 4.4748 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	Q4_K	4.5000
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	Q5_K	5.5000
276	blk.30.attn_q.weight	Block 30 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
277	blk.30.attn_v.weight	Block 30 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
278	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
279	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.30: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.30: 4.4090 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	Q4_K	4.5000
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	Q5_K	5.5000
285	blk.31.attn_q.weight	Block 31 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
286	blk.31.attn_v.weight	Block 31 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
287	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
288	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.31: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.31: 4.4748 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	Q4_K	4.5000
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	Q5_K	5.5000
294	blk.32.attn_q.weight	Block 32 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
295	blk.32.attn_v.weight	Block 32 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
296	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
297	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.32: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.32: 4.4748 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	Q4_K	4.5000
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	Q5_K	5.5000
303	blk.33.attn_q.weight	Block 33 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
304	blk.33.attn_v.weight	Block 33 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
305	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
306	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.33: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.33: 4.4748 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	Q4_K	4.5000
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	Q5_K	5.5000
312	blk.34.attn_q.weight	Block 34 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
313	blk.34.attn_v.weight	Block 34 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
314	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
315	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.34: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.34: 4.4748 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	IQ4_XS	4.2500
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	Q5_K	5.5000
321	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
322	blk.35.attn_v.weight	Block 35 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
323	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
324	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.35: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.35: 4.3827 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	IQ4_XS	4.2500
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	Q5_K	5.5000
330	blk.36.attn_q.weight	Block 36 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
331	blk.36.attn_v.weight	Block 36 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
332	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
333	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.36: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.36: 4.3827 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	IQ4_XS	4.2500
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	Q5_K	5.5000
339	blk.37.attn_q.weight	Block 37 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q4_K	4.5000
340	blk.37.attn_v.weight	Block 37 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
341	blk.37.ffn_down.weight	Block 37 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
342	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	IQ4_XS	4.2500

• Total elements in blk.37: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.37: 4.4038 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	IQ4_XS	4.2500
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	Q5_K	5.5000
348	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ4_XS	4.2500
349	blk.38.attn_v.weight	Block 38 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
350	blk.38.ffn_down.weight	Block 38 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ4_XS	4.2500
351	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q4_K	4.5000

• Total elements in blk.38: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.38: 4.4274 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	IQ4_XS	4.2500
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	Q5_K	5.5000
357	blk.39.attn_q.weight	Block 39 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ4_XS	4.2500
358	blk.39.attn_v.weight	Block 39 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
359	blk.39.ffn_down.weight	Block 39 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q4_K	4.5000
360	blk.39.ffn_gate.weight	Block 39 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q4_K	4.5000
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	Q4_K	4.5000

• Total elements in blk.39: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.39: 4.5801 bits

Total BPW for granite-4.1-8b-Q4_K.gguf: 4.4999 bits