granite-4.1-8b-GGUF/scores/granite-4.1-8b-Q5_K.md

granite-4.1-8b-WIP/granite-4.1-8b-Q5_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	17
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-Q5_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	0x14190000
1	output_norm.weight	0x144f7400	0x4000
2	token_embd.weight	0x144fb400	0x10d80000
3	blk.0.attn_k.weight	0x2527b400	0x220000
4	blk.0.attn_norm.weight	0x2549b400	0x4000
5	blk.0.attn_output.weight	0x2549f400	0x900000
6	blk.0.attn_q.weight	0x25d9f400	0x880000
7	blk.0.attn_v.weight	0x2661f400	0x2c0000
8	blk.0.ffn_down.weight	0x268df400	0x1c20000
9	blk.0.ffn_gate.weight	0x284ff400	0x1a90000
10	blk.0.ffn_norm.weight	0x29f8f400	0x4000
11	blk.0.ffn_up.weight	0x29f93400	0x2260000
12	blk.1.attn_k.weight	0x2c1f3400	0x240000
13	blk.1.attn_norm.weight	0x2c433400	0x4000
14	blk.1.attn_output.weight	0x2c437400	0xb00000
15	blk.1.attn_q.weight	0x2cf37400	0xb00000
16	blk.1.attn_v.weight	0x2da37400	0x2c0000
17	blk.1.ffn_down.weight	0x2dcf7400	0x2260000
18	blk.1.ffn_gate.weight	0x2ff57400	0x2260000
19	blk.1.ffn_norm.weight	0x321b7400	0x4000
20	blk.1.ffn_up.weight	0x321bb400	0x2260000
21	blk.2.attn_k.weight	0x3441b400	0x240000
22	blk.2.attn_norm.weight	0x3465b400	0x4000
23	blk.2.attn_output.weight	0x3465f400	0xb00000
24	blk.2.attn_q.weight	0x3515f400	0xb00000
25	blk.2.attn_v.weight	0x35c5f400	0x2c0000
26	blk.2.ffn_down.weight	0x35f1f400	0x2260000
27	blk.2.ffn_gate.weight	0x3817f400	0x2260000
28	blk.2.ffn_norm.weight	0x3a3df400	0x4000
29	blk.2.ffn_up.weight	0x3a3e3400	0x2260000
30	blk.3.attn_k.weight	0x3c643400	0x240000
31	blk.3.attn_norm.weight	0x3c883400	0x4000
32	blk.3.attn_output.weight	0x3c887400	0xb00000
33	blk.3.attn_q.weight	0x3d387400	0x900000
34	blk.3.attn_v.weight	0x3dc87400	0x2c0000
35	blk.3.ffn_down.weight	0x3df47400	0x1c20000
36	blk.3.ffn_gate.weight	0x3fb67400	0x2260000
37	blk.3.ffn_norm.weight	0x41dc7400	0x4000
38	blk.3.ffn_up.weight	0x41dcb400	0x2260000
39	blk.4.attn_k.weight	0x4402b400	0x2c0000
40	blk.4.attn_norm.weight	0x442eb400	0x4000
41	blk.4.attn_output.weight	0x442ef400	0xb00000
42	blk.4.attn_q.weight	0x44def400	0xb00000
43	blk.4.attn_v.weight	0x458ef400	0x2c0000
44	blk.4.ffn_down.weight	0x45baf400	0x2260000
45	blk.4.ffn_gate.weight	0x47e0f400	0x2260000
46	blk.4.ffn_norm.weight	0x4a06f400	0x4000
47	blk.4.ffn_up.weight	0x4a073400	0x2260000
48	blk.5.attn_k.weight	0x4c2d3400	0x240000
49	blk.5.attn_norm.weight	0x4c513400	0x4000
50	blk.5.attn_output.weight	0x4c517400	0xb00000
51	blk.5.attn_q.weight	0x4d017400	0xb00000
52	blk.5.attn_v.weight	0x4db17400	0x2c0000
53	blk.5.ffn_down.weight	0x4ddd7400	0x1c20000
54	blk.5.ffn_gate.weight	0x4f9f7400	0x2260000
55	blk.5.ffn_norm.weight	0x51c57400	0x4000
56	blk.5.ffn_up.weight	0x51c5b400	0x2260000
57	blk.6.attn_k.weight	0x53ebb400	0x240000
58	blk.6.attn_norm.weight	0x540fb400	0x4000
59	blk.6.attn_output.weight	0x540ff400	0xb00000
60	blk.6.attn_q.weight	0x54bff400	0xb00000
61	blk.6.attn_v.weight	0x556ff400	0x300000
62	blk.6.ffn_down.weight	0x559ff400	0x2260000
63	blk.6.ffn_gate.weight	0x57c5f400	0x2260000
64	blk.6.ffn_norm.weight	0x59ebf400	0x4000
65	blk.6.ffn_up.weight	0x59ec3400	0x2260000
66	blk.7.attn_k.weight	0x5c123400	0x2c0000
67	blk.7.attn_norm.weight	0x5c3e3400	0x4000
68	blk.7.attn_output.weight	0x5c3e7400	0xb00000
69	blk.7.attn_q.weight	0x5cee7400	0xb00000
70	blk.7.attn_v.weight	0x5d9e7400	0x2c0000
71	blk.7.ffn_down.weight	0x5dca7400	0x2260000
72	blk.7.ffn_gate.weight	0x5ff07400	0x2260000
73	blk.7.ffn_norm.weight	0x62167400	0x4000
74	blk.7.ffn_up.weight	0x6216b400	0x2260000
75	blk.8.attn_k.weight	0x643cb400	0x240000
76	blk.8.attn_norm.weight	0x6460b400	0x4000
77	blk.8.attn_output.weight	0x6460f400	0xb00000
78	blk.8.attn_q.weight	0x6510f400	0xb00000
79	blk.8.attn_v.weight	0x65c0f400	0x2c0000
80	blk.8.ffn_down.weight	0x65ecf400	0x2260000
81	blk.8.ffn_gate.weight	0x6812f400	0x2260000
82	blk.8.ffn_norm.weight	0x6a38f400	0x4000
83	blk.8.ffn_up.weight	0x6a393400	0x2260000
84	blk.9.attn_k.weight	0x6c5f3400	0x240000
85	blk.9.attn_norm.weight	0x6c833400	0x4000
86	blk.9.attn_output.weight	0x6c837400	0xb00000
87	blk.9.attn_q.weight	0x6d337400	0xb00000
88	blk.9.attn_v.weight	0x6de37400	0x2c0000
89	blk.9.ffn_down.weight	0x6e0f7400	0x2260000
90	blk.9.ffn_gate.weight	0x70357400	0x2260000
91	blk.9.ffn_norm.weight	0x725b7400	0x4000
92	blk.9.ffn_up.weight	0x725bb400	0x2260000
93	blk.10.attn_k.weight	0x7481b400	0x240000
94	blk.10.attn_norm.weight	0x74a5b400	0x4000
95	blk.10.attn_output.weight	0x74a5f400	0xb00000
96	blk.10.attn_q.weight	0x7555f400	0xb00000
97	blk.10.attn_v.weight	0x7605f400	0x2c0000
98	blk.10.ffn_down.weight	0x7631f400	0x2260000
99	blk.10.ffn_gate.weight	0x7857f400	0x2260000
100	blk.10.ffn_norm.weight	0x7a7df400	0x4000
101	blk.10.ffn_up.weight	0x7a7e3400	0x2260000
102	blk.11.attn_k.weight	0x7ca43400	0x240000
103	blk.11.attn_norm.weight	0x7cc83400	0x4000
104	blk.11.attn_output.weight	0x7cc87400	0xb00000
105	blk.11.attn_q.weight	0x7d787400	0xb00000
106	blk.11.attn_v.weight	0x7e287400	0x2c0000
107	blk.11.ffn_down.weight	0x7e547400	0x2260000
108	blk.11.ffn_gate.weight	0x807a7400	0x1a90000
109	blk.11.ffn_norm.weight	0x82237400	0x4000
110	blk.11.ffn_up.weight	0x8223b400	0x2260000
111	blk.12.attn_k.weight	0x8449b400	0x240000
112	blk.12.attn_norm.weight	0x846db400	0x4000
113	blk.12.attn_output.weight	0x846df400	0xb00000
114	blk.12.attn_q.weight	0x851df400	0xb00000
115	blk.12.attn_v.weight	0x85cdf400	0x2c0000
116	blk.12.ffn_down.weight	0x85f9f400	0x2260000
117	blk.12.ffn_gate.weight	0x881ff400	0x1a90000
118	blk.12.ffn_norm.weight	0x89c8f400	0x4000
119	blk.12.ffn_up.weight	0x89c93400	0x2260000
120	blk.13.attn_k.weight	0x8bef3400	0x2c0000
121	blk.13.attn_norm.weight	0x8c1b3400	0x4000
122	blk.13.attn_output.weight	0x8c1b7400	0xb00000
123	blk.13.attn_q.weight	0x8ccb7400	0xb00000
124	blk.13.attn_v.weight	0x8d7b7400	0x2c0000
125	blk.13.ffn_down.weight	0x8da77400	0x2260000
126	blk.13.ffn_gate.weight	0x8fcd7400	0x2260000
127	blk.13.ffn_norm.weight	0x91f37400	0x4000
128	blk.13.ffn_up.weight	0x91f3b400	0x2260000
129	blk.14.attn_k.weight	0x9419b400	0x2c0000
130	blk.14.attn_norm.weight	0x9445b400	0x4000
131	blk.14.attn_output.weight	0x9445f400	0xb00000
132	blk.14.attn_q.weight	0x94f5f400	0xb00000
133	blk.14.attn_v.weight	0x95a5f400	0x2c0000
134	blk.14.ffn_down.weight	0x95d1f400	0x2260000
135	blk.14.ffn_gate.weight	0x97f7f400	0x2260000
136	blk.14.ffn_norm.weight	0x9a1df400	0x4000
137	blk.14.ffn_up.weight	0x9a1e3400	0x2260000
138	blk.15.attn_k.weight	0x9c443400	0x2c0000
139	blk.15.attn_norm.weight	0x9c703400	0x4000
140	blk.15.attn_output.weight	0x9c707400	0xb00000
141	blk.15.attn_q.weight	0x9d207400	0xb00000
142	blk.15.attn_v.weight	0x9dd07400	0x2c0000
143	blk.15.ffn_down.weight	0x9dfc7400	0x2260000
144	blk.15.ffn_gate.weight	0xa0227400	0x2260000
145	blk.15.ffn_norm.weight	0xa2487400	0x4000
146	blk.15.ffn_up.weight	0xa248b400	0x2260000
147	blk.16.attn_k.weight	0xa46eb400	0x2c0000
148	blk.16.attn_norm.weight	0xa49ab400	0x4000
149	blk.16.attn_output.weight	0xa49af400	0xb00000
150	blk.16.attn_q.weight	0xa54af400	0xb00000
151	blk.16.attn_v.weight	0xa5faf400	0x2c0000
152	blk.16.ffn_down.weight	0xa626f400	0x2260000
153	blk.16.ffn_gate.weight	0xa84cf400	0x2260000
154	blk.16.ffn_norm.weight	0xaa72f400	0x4000
155	blk.16.ffn_up.weight	0xaa733400	0x2260000
156	blk.17.attn_k.weight	0xac993400	0x2c0000
157	blk.17.attn_norm.weight	0xacc53400	0x4000
158	blk.17.attn_output.weight	0xacc57400	0xb00000
159	blk.17.attn_q.weight	0xad757400	0xb00000
160	blk.17.attn_v.weight	0xae257400	0x2c0000
161	blk.17.ffn_down.weight	0xae517400	0x2260000
162	blk.17.ffn_gate.weight	0xb0777400	0x2260000
163	blk.17.ffn_norm.weight	0xb29d7400	0x4000
164	blk.17.ffn_up.weight	0xb29db400	0x2260000
165	blk.18.attn_k.weight	0xb4c3b400	0x240000
166	blk.18.attn_norm.weight	0xb4e7b400	0x4000
167	blk.18.attn_output.weight	0xb4e7f400	0xb00000
168	blk.18.attn_q.weight	0xb597f400	0xb00000
169	blk.18.attn_v.weight	0xb647f400	0x2c0000
170	blk.18.ffn_down.weight	0xb673f400	0x2260000
171	blk.18.ffn_gate.weight	0xb899f400	0x2260000
172	blk.18.ffn_norm.weight	0xbabff400	0x4000
173	blk.18.ffn_up.weight	0xbac03400	0x2260000
174	blk.19.attn_k.weight	0xbce63400	0x240000
175	blk.19.attn_norm.weight	0xbd0a3400	0x4000
176	blk.19.attn_output.weight	0xbd0a7400	0xb00000
177	blk.19.attn_q.weight	0xbdba7400	0xb00000
178	blk.19.attn_v.weight	0xbe6a7400	0x2c0000
179	blk.19.ffn_down.weight	0xbe967400	0x2260000
180	blk.19.ffn_gate.weight	0xc0bc7400	0x2260000
181	blk.19.ffn_norm.weight	0xc2e27400	0x4000
182	blk.19.ffn_up.weight	0xc2e2b400	0x2260000
183	blk.20.attn_k.weight	0xc508b400	0x2c0000
184	blk.20.attn_norm.weight	0xc534b400	0x4000
185	blk.20.attn_output.weight	0xc534f400	0xb00000
186	blk.20.attn_q.weight	0xc5e4f400	0xb00000
187	blk.20.attn_v.weight	0xc694f400	0x2c0000
188	blk.20.ffn_down.weight	0xc6c0f400	0x2260000
189	blk.20.ffn_gate.weight	0xc8e6f400	0x2260000
190	blk.20.ffn_norm.weight	0xcb0cf400	0x4000
191	blk.20.ffn_up.weight	0xcb0d3400	0x2260000
192	blk.21.attn_k.weight	0xcd333400	0x240000
193	blk.21.attn_norm.weight	0xcd573400	0x4000
194	blk.21.attn_output.weight	0xcd577400	0xb00000
195	blk.21.attn_q.weight	0xce077400	0xb00000
196	blk.21.attn_v.weight	0xceb77400	0x2c0000
197	blk.21.ffn_down.weight	0xcee37400	0x2260000
198	blk.21.ffn_gate.weight	0xd1097400	0x2260000
199	blk.21.ffn_norm.weight	0xd32f7400	0x4000
200	blk.21.ffn_up.weight	0xd32fb400	0x2260000
201	blk.22.attn_k.weight	0xd555b400	0x2c0000
202	blk.22.attn_norm.weight	0xd581b400	0x4000
203	blk.22.attn_output.weight	0xd581f400	0xb00000
204	blk.22.attn_q.weight	0xd631f400	0xb00000
205	blk.22.attn_v.weight	0xd6e1f400	0x2c0000
206	blk.22.ffn_down.weight	0xd70df400	0x2260000
207	blk.22.ffn_gate.weight	0xd933f400	0x2260000
208	blk.22.ffn_norm.weight	0xdb59f400	0x4000
209	blk.22.ffn_up.weight	0xdb5a3400	0x2260000
210	blk.23.attn_k.weight	0xdd803400	0x240000
211	blk.23.attn_norm.weight	0xdda43400	0x4000
212	blk.23.attn_output.weight	0xdda47400	0xb00000
213	blk.23.attn_q.weight	0xde547400	0xb00000
214	blk.23.attn_v.weight	0xdf047400	0x2c0000
215	blk.23.ffn_down.weight	0xdf307400	0x2260000
216	blk.23.ffn_gate.weight	0xe1567400	0x2260000
217	blk.23.ffn_norm.weight	0xe37c7400	0x4000
218	blk.23.ffn_up.weight	0xe37cb400	0x2260000
219	blk.24.attn_k.weight	0xe5a2b400	0x240000
220	blk.24.attn_norm.weight	0xe5c6b400	0x4000
221	blk.24.attn_output.weight	0xe5c6f400	0xd20000
222	blk.24.attn_q.weight	0xe698f400	0xb00000
223	blk.24.attn_v.weight	0xe748f400	0x2c0000
224	blk.24.ffn_down.weight	0xe774f400	0x2260000
225	blk.24.ffn_gate.weight	0xe99af400	0x2260000
226	blk.24.ffn_norm.weight	0xebc0f400	0x4000
227	blk.24.ffn_up.weight	0xebc13400	0x2260000
228	blk.25.attn_k.weight	0xede73400	0x240000
229	blk.25.attn_norm.weight	0xee0b3400	0x4000
230	blk.25.attn_output.weight	0xee0b7400	0xb00000
231	blk.25.attn_q.weight	0xeebb7400	0xb00000
232	blk.25.attn_v.weight	0xef6b7400	0x2c0000
233	blk.25.ffn_down.weight	0xef977400	0x2260000
234	blk.25.ffn_gate.weight	0xf1bd7400	0x2260000
235	blk.25.ffn_norm.weight	0xf3e37400	0x4000
236	blk.25.ffn_up.weight	0xf3e3b400	0x2260000
237	blk.26.attn_k.weight	0xf609b400	0x240000
238	blk.26.attn_norm.weight	0xf62db400	0x4000
239	blk.26.attn_output.weight	0xf62df400	0xb00000
240	blk.26.attn_q.weight	0xf6ddf400	0xb00000
241	blk.26.attn_v.weight	0xf78df400	0x2c0000
242	blk.26.ffn_down.weight	0xf7b9f400	0x2260000
243	blk.26.ffn_gate.weight	0xf9dff400	0x2260000
244	blk.26.ffn_norm.weight	0xfc05f400	0x4000
245	blk.26.ffn_up.weight	0xfc063400	0x2260000
246	blk.27.attn_k.weight	0xfe2c3400	0x2c0000
247	blk.27.attn_norm.weight	0xfe583400	0x4000
248	blk.27.attn_output.weight	0xfe587400	0xb00000
249	blk.27.attn_q.weight	0xff087400	0xb00000
250	blk.27.attn_v.weight	0xffb87400	0x2c0000
251	blk.27.ffn_down.weight	0xffe47400	0x2260000
252	blk.27.ffn_gate.weight	0x1020a7400	0x2260000
253	blk.27.ffn_norm.weight	0x104307400	0x4000
254	blk.27.ffn_up.weight	0x10430b400	0x2260000
255	blk.28.attn_k.weight	0x10656b400	0x2c0000
256	blk.28.attn_norm.weight	0x10682b400	0x4000
257	blk.28.attn_output.weight	0x10682f400	0xb00000
258	blk.28.attn_q.weight	0x10732f400	0xb00000
259	blk.28.attn_v.weight	0x107e2f400	0x2c0000
260	blk.28.ffn_down.weight	0x1080ef400	0x2260000
261	blk.28.ffn_gate.weight	0x10a34f400	0x2260000
262	blk.28.ffn_norm.weight	0x10c5af400	0x4000
263	blk.28.ffn_up.weight	0x10c5b3400	0x2260000
264	blk.29.attn_k.weight	0x10e813400	0x2c0000
265	blk.29.attn_norm.weight	0x10ead3400	0x4000
266	blk.29.attn_output.weight	0x10ead7400	0xb00000
267	blk.29.attn_q.weight	0x10f5d7400	0xb00000
268	blk.29.attn_v.weight	0x1100d7400	0x2c0000
269	blk.29.ffn_down.weight	0x110397400	0x2260000
270	blk.29.ffn_gate.weight	0x1125f7400	0x2260000
271	blk.29.ffn_norm.weight	0x114857400	0x4000
272	blk.29.ffn_up.weight	0x11485b400	0x2260000
273	blk.30.attn_k.weight	0x116abb400	0x2c0000
274	blk.30.attn_norm.weight	0x116d7b400	0x4000
275	blk.30.attn_output.weight	0x116d7f400	0xb00000
276	blk.30.attn_q.weight	0x11787f400	0xb00000
277	blk.30.attn_v.weight	0x11837f400	0x2c0000
278	blk.30.ffn_down.weight	0x11863f400	0x2260000
279	blk.30.ffn_gate.weight	0x11a89f400	0x2260000
280	blk.30.ffn_norm.weight	0x11caff400	0x4000
281	blk.30.ffn_up.weight	0x11cb03400	0x2260000
282	blk.31.attn_k.weight	0x11ed63400	0x2c0000
283	blk.31.attn_norm.weight	0x11f023400	0x4000
284	blk.31.attn_output.weight	0x11f027400	0xd20000
285	blk.31.attn_q.weight	0x11fd47400	0xb00000
286	blk.31.attn_v.weight	0x120847400	0x2c0000
287	blk.31.ffn_down.weight	0x120b07400	0x2260000
288	blk.31.ffn_gate.weight	0x122d67400	0x2260000
289	blk.31.ffn_norm.weight	0x124fc7400	0x4000
290	blk.31.ffn_up.weight	0x124fcb400	0x2260000
291	blk.32.attn_k.weight	0x12722b400	0x2c0000
292	blk.32.attn_norm.weight	0x1274eb400	0x4000
293	blk.32.attn_output.weight	0x1274ef400	0xb00000
294	blk.32.attn_q.weight	0x127fef400	0xb00000
295	blk.32.attn_v.weight	0x128aef400	0x2c0000
296	blk.32.ffn_down.weight	0x128daf400	0x2260000
297	blk.32.ffn_gate.weight	0x12b00f400	0x2260000
298	blk.32.ffn_norm.weight	0x12d26f400	0x4000
299	blk.32.ffn_up.weight	0x12d273400	0x2260000
300	blk.33.attn_k.weight	0x12f4d3400	0x2c0000
301	blk.33.attn_norm.weight	0x12f793400	0x4000
302	blk.33.attn_output.weight	0x12f797400	0xd20000
303	blk.33.attn_q.weight	0x1304b7400	0xb00000
304	blk.33.attn_v.weight	0x130fb7400	0x2c0000
305	blk.33.ffn_down.weight	0x131277400	0x2260000
306	blk.33.ffn_gate.weight	0x1334d7400	0x2260000
307	blk.33.ffn_norm.weight	0x135737400	0x4000
308	blk.33.ffn_up.weight	0x13573b400	0x2260000
309	blk.34.attn_k.weight	0x13799b400	0x2c0000
310	blk.34.attn_norm.weight	0x137c5b400	0x4000
311	blk.34.attn_output.weight	0x137c5f400	0xb00000
312	blk.34.attn_q.weight	0x13875f400	0xb00000
313	blk.34.attn_v.weight	0x13925f400	0x2c0000
314	blk.34.ffn_down.weight	0x13951f400	0x2260000
315	blk.34.ffn_gate.weight	0x13b77f400	0x2260000
316	blk.34.ffn_norm.weight	0x13d9df400	0x4000
317	blk.34.ffn_up.weight	0x13d9e3400	0x2260000
318	blk.35.attn_k.weight	0x13fc43400	0x240000
319	blk.35.attn_norm.weight	0x13fe83400	0x4000
320	blk.35.attn_output.weight	0x13fe87400	0xb00000
321	blk.35.attn_q.weight	0x140987400	0xb00000
322	blk.35.attn_v.weight	0x141487400	0x2c0000
323	blk.35.ffn_down.weight	0x141747400	0x2260000
324	blk.35.ffn_gate.weight	0x1439a7400	0x2260000
325	blk.35.ffn_norm.weight	0x145c07400	0x4000
326	blk.35.ffn_up.weight	0x145c0b400	0x2260000
327	blk.36.attn_k.weight	0x147e6b400	0x240000
328	blk.36.attn_norm.weight	0x1480ab400	0x4000
329	blk.36.attn_output.weight	0x1480af400	0xb00000
330	blk.36.attn_q.weight	0x148baf400	0xb00000
331	blk.36.attn_v.weight	0x1496af400	0x2c0000
332	blk.36.ffn_down.weight	0x14996f400	0x2260000
333	blk.36.ffn_gate.weight	0x14bbcf400	0x2260000
334	blk.36.ffn_norm.weight	0x14de2f400	0x4000
335	blk.36.ffn_up.weight	0x14de33400	0x2260000
336	blk.37.attn_k.weight	0x150093400	0x240000
337	blk.37.attn_norm.weight	0x1502d3400	0x4000
338	blk.37.attn_output.weight	0x1502d7400	0xb00000
339	blk.37.attn_q.weight	0x150dd7400	0xb00000
340	blk.37.attn_v.weight	0x1518d7400	0x2c0000
341	blk.37.ffn_down.weight	0x151b97400	0x2260000
342	blk.37.ffn_gate.weight	0x153df7400	0x2260000
343	blk.37.ffn_norm.weight	0x156057400	0x4000
344	blk.37.ffn_up.weight	0x15605b400	0x2260000
345	blk.38.attn_k.weight	0x1582bb400	0x240000
346	blk.38.attn_norm.weight	0x1584fb400	0x4000
347	blk.38.attn_output.weight	0x1584ff400	0xb00000
348	blk.38.attn_q.weight	0x158fff400	0xb00000
349	blk.38.attn_v.weight	0x159aff400	0x2c0000
350	blk.38.ffn_down.weight	0x159dbf400	0x2260000
351	blk.38.ffn_gate.weight	0x15c01f400	0x2260000
352	blk.38.ffn_norm.weight	0x15e27f400	0x4000
353	blk.38.ffn_up.weight	0x15e283400	0x2260000
354	blk.39.attn_k.weight	0x1604e3400	0x2c0000
355	blk.39.attn_norm.weight	0x1607a3400	0x4000
356	blk.39.attn_output.weight	0x1607a7400	0xb00000
357	blk.39.attn_q.weight	0x1612a7400	0xb00000
358	blk.39.attn_v.weight	0x161da7400	0x2c0000
359	blk.39.ffn_down.weight	0x162067400	0x2260000
360	blk.39.ffn_gate.weight	0x1642c7400	0x2260000
361	blk.39.ffn_norm.weight	0x166527400	0x4000
362	blk.39.ffn_up.weight	0x16652b400	0x2260000

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	Q6_K	6.5625
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	Q5_K	5.5000

• Total elements in base: (~822M) 822087680
• Percentage of total elements: 9.35%
• Bits per Weight (BPW) for base: 6.0314 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	IQ4_XS	4.2500
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	IQ4_XS	4.2500
7	blk.0.attn_v.weight	Block 0 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
8	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q4_K	4.5000
9	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ4_XS	4.2500
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	Q5_K	5.5000

• Total elements in blk.0: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.0: 4.6932 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	Q4_K	4.5000
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	Q5_K	5.5000
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	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	Q5_K	5.5000
18	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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: 5.4800 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	Q4_K	4.5000
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	Q5_K	5.5000
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	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	Q5_K	5.5000
27	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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: 5.4800 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	Q4_K	4.5000
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	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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.3: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.3: 5.1327 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	Q5_K	5.5000
42	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.4: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.4: 5.5011 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	Q5_K	5.5000
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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.5: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.5: 5.2169 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	Q5_K	5.5000
61	blk.6.attn_v.weight	Block 6 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_1	6.0000
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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.6: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.6: 5.4906 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	Q5_K	5.5000
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	Q5_K	5.5000
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	Q5_K	5.5000
72	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.7: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.7: 5.5011 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	Q5_K	5.5000
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	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	Q5_K	5.5000

• Total elements in blk.8: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.8: 5.4800 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	Q5_K	5.5000
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	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	Q5_K	5.5000

• Total elements in blk.9: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.9: 5.4800 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	Q5_K	5.5000
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	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	Q5_K	5.5000

• Total elements in blk.10: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.10: 5.4800 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	Q4_K	4.5000
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	Q5_K	5.5000
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	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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.11: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.11: 5.1511 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	Q5_K	5.5000
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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.12: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.12: 5.1511 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	Q5_K	5.5000
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	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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.13: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.13: 5.5011 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	Q5_K	5.5000
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	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	Q5_K	5.5000
135	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.14: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.14: 5.5011 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	Q5_K	5.5000
141	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
144	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.15: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.15: 5.5011 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	Q5_K	5.5000
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	Q5_K	5.5000
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	Q5_K	5.5000
153	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.16: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.16: 5.5011 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	Q5_K	5.5000
159	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
162	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.17: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.17: 5.5011 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	Q4_K	4.5000
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	Q5_K	5.5000
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	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	Q5_K	5.5000
171	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.18: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.18: 5.4800 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	Q5_K	5.5000
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	Q5_K	5.5000
180	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.19: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.19: 5.4800 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	Q5_K	5.5000
186	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
189	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.20: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.20: 5.5011 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	Q4_K	4.5000
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	Q5_K	5.5000
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	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	Q5_K	5.5000
198	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.21: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.21: 5.4800 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	Q5_K	5.5000
204	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
207	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.22: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.22: 5.5011 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	Q5_K	5.5000
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	Q5_K	5.5000
216	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.23: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.23: 5.4800 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	Q4_K	4.5000
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	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	Q5_K	5.5000
225	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.24: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.24: 5.5695 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	Q5_K	5.5000
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	Q5_K	5.5000
234	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.25: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.25: 5.4800 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	Q5_K	5.5000
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	Q5_K	5.5000
243	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.26: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.26: 5.4800 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	Q5_K	5.5000
249	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
252	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.27: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.27: 5.5011 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	Q5_K	5.5000
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	Q5_K	5.5000
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	Q5_K	5.5000
261	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.28: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.28: 5.5011 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	Q5_K	5.5000
267	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
270	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.29: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.29: 5.5011 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	Q5_K	5.5000
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	Q5_K	5.5000
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	Q5_K	5.5000
279	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.30: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.30: 5.5011 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	Q5_K	5.5000
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	Q5_K	5.5000
288	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.31: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.31: 5.5906 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	Q5_K	5.5000
294	blk.32.attn_q.weight	Block 32 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
297	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.32: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.32: 5.5011 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	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	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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.33: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.33: 5.5906 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	Q5_K	5.5000
312	blk.34.attn_q.weight	Block 34 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
315	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.34: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.34: 5.5011 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	Q4_K	4.5000
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	Q5_K	5.5000
321	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
322	blk.35.attn_v.weight	Block 35 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.35: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.35: 5.4800 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	Q4_K	4.5000
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	Q5_K	5.5000
330	blk.36.attn_q.weight	Block 36 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
331	blk.36.attn_v.weight	Block 36 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.36: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.36: 5.4800 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	Q4_K	4.5000
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	Q5_K	5.5000
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	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	Q5_K	5.5000
342	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.37: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.37: 5.4800 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	Q4_K	4.5000
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	Q5_K	5.5000
348	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_K	5.5000
349	blk.38.attn_v.weight	Block 38 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q5_K	5.5000
350	blk.38.ffn_down.weight	Block 38 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_K	5.5000
351	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.38: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.38: 5.4800 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	Q5_K	5.5000
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	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	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	Q5_K	5.5000
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	Q5_K	5.5000

• Total elements in blk.39: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.39: 5.5011 bits

Total BPW for granite-4.1-8b-Q5_K.gguf: 5.4999 bits