granite-4.1-8b-GGUF/scores/granite-4.1-8b-Q8_0.md

granite-4.1-8b-WIP/granite-4.1-8b-Q8_0.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	7
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-Q8_0.gguf - GGUF Internal File Dump
  • Key Value Metadata Store
  • Tensors Overview ~9B Elements
    • Tensor Data Offset
    • Base Tensor Group : ~822M Elements
    • Block 0 Tensor Group : ~199M Elements
    • Block 1 Tensor Group : ~199M Elements
    • Block 2 Tensor Group : ~199M Elements
    • Block 3 Tensor Group : ~199M Elements
    • Block 4 Tensor Group : ~199M Elements
    • Block 5 Tensor Group : ~199M Elements
    • Block 6 Tensor Group : ~199M Elements
    • Block 7 Tensor Group : ~199M Elements
    • Block 8 Tensor Group : ~199M Elements
    • Block 9 Tensor Group : ~199M Elements
    • Block 10 Tensor Group : ~199M Elements
    • Block 11 Tensor Group : ~199M Elements
    • Block 12 Tensor Group : ~199M Elements
    • Block 13 Tensor Group : ~199M Elements
    • Block 14 Tensor Group : ~199M Elements
    • Block 15 Tensor Group : ~199M Elements
    • Block 16 Tensor Group : ~199M Elements
    • Block 17 Tensor Group : ~199M Elements
    • Block 18 Tensor Group : ~199M Elements
    • Block 19 Tensor Group : ~199M Elements
    • Block 20 Tensor Group : ~199M Elements
    • Block 21 Tensor Group : ~199M Elements
    • Block 22 Tensor Group : ~199M Elements
    • Block 23 Tensor Group : ~199M Elements
    • Block 24 Tensor Group : ~199M Elements
    • Block 25 Tensor Group : ~199M Elements
    • Block 26 Tensor Group : ~199M Elements
    • Block 27 Tensor Group : ~199M Elements
    • Block 28 Tensor Group : ~199M Elements
    • Block 29 Tensor Group : ~199M Elements
    • Block 30 Tensor Group : ~199M Elements
    • Block 31 Tensor Group : ~199M Elements
    • Block 32 Tensor Group : ~199M Elements
    • Block 33 Tensor Group : ~199M Elements
    • Block 34 Tensor Group : ~199M Elements
    • Block 35 Tensor Group : ~199M Elements
    • Block 36 Tensor Group : ~199M Elements
    • Block 37 Tensor Group : ~199M Elements
    • Block 38 Tensor Group : ~199M Elements
    • Block 39 Tensor Group : ~199M Elements

Tensor Data Offset

This table contains the offset and data segment relative to start of file

T_ID	Tensor Layer Name	Data Offset (B)	Data Size (B)
0	output.weight	0x367400	0x1a080000
1	output_norm.weight	0x1a3e7400	0x4000
2	token_embd.weight	0x1a3eb400	0x1a080000
3	blk.0.attn_k.weight	0x3446b400	0x440000
4	blk.0.attn_norm.weight	0x348ab400	0x4000
5	blk.0.attn_output.weight	0x348af400	0x1100000
6	blk.0.attn_q.weight	0x359af400	0xd20000
7	blk.0.attn_v.weight	0x366cf400	0x440000
8	blk.0.ffn_down.weight	0x36b0f400	0x3520000
9	blk.0.ffn_gate.weight	0x3a02f400	0x2904000
10	blk.0.ffn_norm.weight	0x3c933400	0x4000
11	blk.0.ffn_up.weight	0x3c937400	0x3520000
12	blk.1.attn_k.weight	0x3fe57400	0x440000
13	blk.1.attn_norm.weight	0x40297400	0x4000
14	blk.1.attn_output.weight	0x4029b400	0x1100000
15	blk.1.attn_q.weight	0x4139b400	0x1100000
16	blk.1.attn_v.weight	0x4249b400	0x440000
17	blk.1.ffn_down.weight	0x428db400	0x3520000
18	blk.1.ffn_gate.weight	0x45dfb400	0x3520000
19	blk.1.ffn_norm.weight	0x4931b400	0x4000
20	blk.1.ffn_up.weight	0x4931f400	0x3520000
21	blk.2.attn_k.weight	0x4c83f400	0x440000
22	blk.2.attn_norm.weight	0x4cc7f400	0x4000
23	blk.2.attn_output.weight	0x4cc83400	0x1100000
24	blk.2.attn_q.weight	0x4dd83400	0x1100000
25	blk.2.attn_v.weight	0x4ee83400	0x440000
26	blk.2.ffn_down.weight	0x4f2c3400	0x3520000
27	blk.2.ffn_gate.weight	0x527e3400	0x3520000
28	blk.2.ffn_norm.weight	0x55d03400	0x4000
29	blk.2.ffn_up.weight	0x55d07400	0x3520000
30	blk.3.attn_k.weight	0x59227400	0x440000
31	blk.3.attn_norm.weight	0x59667400	0x4000
32	blk.3.attn_output.weight	0x5966b400	0x1100000
33	blk.3.attn_q.weight	0x5a76b400	0x1100000
34	blk.3.attn_v.weight	0x5b86b400	0x800000
35	blk.3.ffn_down.weight	0x5c06b400	0x2580000
36	blk.3.ffn_gate.weight	0x5e5eb400	0x3520000
37	blk.3.ffn_norm.weight	0x61b0b400	0x4000
38	blk.3.ffn_up.weight	0x61b0f400	0x3520000
39	blk.4.attn_k.weight	0x6502f400	0x440000
40	blk.4.attn_norm.weight	0x6546f400	0x4000
41	blk.4.attn_output.weight	0x65473400	0x1100000
42	blk.4.attn_q.weight	0x66573400	0x1100000
43	blk.4.attn_v.weight	0x67673400	0x800000
44	blk.4.ffn_down.weight	0x67e73400	0x3520000
45	blk.4.ffn_gate.weight	0x6b393400	0x3520000
46	blk.4.ffn_norm.weight	0x6e8b3400	0x4000
47	blk.4.ffn_up.weight	0x6e8b7400	0x3520000
48	blk.5.attn_k.weight	0x71dd7400	0x440000
49	blk.5.attn_norm.weight	0x72217400	0x4000
50	blk.5.attn_output.weight	0x7221b400	0x1100000
51	blk.5.attn_q.weight	0x7331b400	0x1100000
52	blk.5.attn_v.weight	0x7441b400	0x800000
53	blk.5.ffn_down.weight	0x74c1b400	0x2580000
54	blk.5.ffn_gate.weight	0x7719b400	0x3520000
55	blk.5.ffn_norm.weight	0x7a6bb400	0x4000
56	blk.5.ffn_up.weight	0x7a6bf400	0x3520000
57	blk.6.attn_k.weight	0x7dbdf400	0x440000
58	blk.6.attn_norm.weight	0x7e01f400	0x4000
59	blk.6.attn_output.weight	0x7e023400	0x1100000
60	blk.6.attn_q.weight	0x7f123400	0x1100000
61	blk.6.attn_v.weight	0x80223400	0x800000
62	blk.6.ffn_down.weight	0x80a23400	0x3520000
63	blk.6.ffn_gate.weight	0x83f43400	0x3520000
64	blk.6.ffn_norm.weight	0x87463400	0x4000
65	blk.6.ffn_up.weight	0x87467400	0x3520000
66	blk.7.attn_k.weight	0x8a987400	0x440000
67	blk.7.attn_norm.weight	0x8adc7400	0x4000
68	blk.7.attn_output.weight	0x8adcb400	0x1100000
69	blk.7.attn_q.weight	0x8becb400	0x1100000
70	blk.7.attn_v.weight	0x8cfcb400	0x800000
71	blk.7.ffn_down.weight	0x8d7cb400	0x3520000
72	blk.7.ffn_gate.weight	0x90ceb400	0x3520000
73	blk.7.ffn_norm.weight	0x9420b400	0x4000
74	blk.7.ffn_up.weight	0x9420f400	0x3520000
75	blk.8.attn_k.weight	0x9772f400	0x440000
76	blk.8.attn_norm.weight	0x97b6f400	0x4000
77	blk.8.attn_output.weight	0x97b73400	0x1100000
78	blk.8.attn_q.weight	0x98c73400	0x1100000
79	blk.8.attn_v.weight	0x99d73400	0x440000
80	blk.8.ffn_down.weight	0x9a1b3400	0x3520000
81	blk.8.ffn_gate.weight	0x9d6d3400	0x3520000
82	blk.8.ffn_norm.weight	0xa0bf3400	0x4000
83	blk.8.ffn_up.weight	0xa0bf7400	0x3520000
84	blk.9.attn_k.weight	0xa4117400	0x440000
85	blk.9.attn_norm.weight	0xa4557400	0x4000
86	blk.9.attn_output.weight	0xa455b400	0x1100000
87	blk.9.attn_q.weight	0xa565b400	0x1100000
88	blk.9.attn_v.weight	0xa675b400	0x800000
89	blk.9.ffn_down.weight	0xa6f5b400	0x3520000
90	blk.9.ffn_gate.weight	0xaa47b400	0x3520000
91	blk.9.ffn_norm.weight	0xad99b400	0x4000
92	blk.9.ffn_up.weight	0xad99f400	0x3520000
93	blk.10.attn_k.weight	0xb0ebf400	0x440000
94	blk.10.attn_norm.weight	0xb12ff400	0x4000
95	blk.10.attn_output.weight	0xb1303400	0x1100000
96	blk.10.attn_q.weight	0xb2403400	0x1100000
97	blk.10.attn_v.weight	0xb3503400	0x440000
98	blk.10.ffn_down.weight	0xb3943400	0x3520000
99	blk.10.ffn_gate.weight	0xb6e63400	0x3520000
100	blk.10.ffn_norm.weight	0xba383400	0x4000
101	blk.10.ffn_up.weight	0xba387400	0x3520000
102	blk.11.attn_k.weight	0xbd8a7400	0x440000
103	blk.11.attn_norm.weight	0xbdce7400	0x4000
104	blk.11.attn_output.weight	0xbdceb400	0x1100000
105	blk.11.attn_q.weight	0xbedeb400	0x1100000
106	blk.11.attn_v.weight	0xbfeeb400	0x440000
107	blk.11.ffn_down.weight	0xc032b400	0x3520000
108	blk.11.ffn_gate.weight	0xc384b400	0x3520000
109	blk.11.ffn_norm.weight	0xc6d6b400	0x4000
110	blk.11.ffn_up.weight	0xc6d6f400	0x3520000
111	blk.12.attn_k.weight	0xca28f400	0x440000
112	blk.12.attn_norm.weight	0xca6cf400	0x4000
113	blk.12.attn_output.weight	0xca6d3400	0x1100000
114	blk.12.attn_q.weight	0xcb7d3400	0x1100000
115	blk.12.attn_v.weight	0xcc8d3400	0x440000
116	blk.12.ffn_down.weight	0xccd13400	0x3520000
117	blk.12.ffn_gate.weight	0xd0233400	0x3520000
118	blk.12.ffn_norm.weight	0xd3753400	0x4000
119	blk.12.ffn_up.weight	0xd3757400	0x3520000
120	blk.13.attn_k.weight	0xd6c77400	0x440000
121	blk.13.attn_norm.weight	0xd70b7400	0x4000
122	blk.13.attn_output.weight	0xd70bb400	0x1100000
123	blk.13.attn_q.weight	0xd81bb400	0x1100000
124	blk.13.attn_v.weight	0xd92bb400	0x440000
125	blk.13.ffn_down.weight	0xd96fb400	0x3520000
126	blk.13.ffn_gate.weight	0xdcc1b400	0x3520000
127	blk.13.ffn_norm.weight	0xe013b400	0x4000
128	blk.13.ffn_up.weight	0xe013f400	0x3520000
129	blk.14.attn_k.weight	0xe365f400	0x440000
130	blk.14.attn_norm.weight	0xe3a9f400	0x4000
131	blk.14.attn_output.weight	0xe3aa3400	0x1100000
132	blk.14.attn_q.weight	0xe4ba3400	0x1100000
133	blk.14.attn_v.weight	0xe5ca3400	0x440000
134	blk.14.ffn_down.weight	0xe60e3400	0x3520000
135	blk.14.ffn_gate.weight	0xe9603400	0x3520000
136	blk.14.ffn_norm.weight	0xecb23400	0x4000
137	blk.14.ffn_up.weight	0xecb27400	0x3520000
138	blk.15.attn_k.weight	0xf0047400	0x440000
139	blk.15.attn_norm.weight	0xf0487400	0x4000
140	blk.15.attn_output.weight	0xf048b400	0x1100000
141	blk.15.attn_q.weight	0xf158b400	0x1100000
142	blk.15.attn_v.weight	0xf268b400	0x800000
143	blk.15.ffn_down.weight	0xf2e8b400	0x3520000
144	blk.15.ffn_gate.weight	0xf63ab400	0x3520000
145	blk.15.ffn_norm.weight	0xf98cb400	0x4000
146	blk.15.ffn_up.weight	0xf98cf400	0x3520000
147	blk.16.attn_k.weight	0xfcdef400	0x440000
148	blk.16.attn_norm.weight	0xfd22f400	0x4000
149	blk.16.attn_output.weight	0xfd233400	0x1100000
150	blk.16.attn_q.weight	0xfe333400	0x1100000
151	blk.16.attn_v.weight	0xff433400	0x800000
152	blk.16.ffn_down.weight	0xffc33400	0x3520000
153	blk.16.ffn_gate.weight	0x103153400	0x3520000
154	blk.16.ffn_norm.weight	0x106673400	0x4000
155	blk.16.ffn_up.weight	0x106677400	0x3520000
156	blk.17.attn_k.weight	0x109b97400	0x440000
157	blk.17.attn_norm.weight	0x109fd7400	0x4000
158	blk.17.attn_output.weight	0x109fdb400	0x1100000
159	blk.17.attn_q.weight	0x10b0db400	0x1100000
160	blk.17.attn_v.weight	0x10c1db400	0x440000
161	blk.17.ffn_down.weight	0x10c61b400	0x3520000
162	blk.17.ffn_gate.weight	0x10fb3b400	0x3520000
163	blk.17.ffn_norm.weight	0x11305b400	0x4000
164	blk.17.ffn_up.weight	0x11305f400	0x3520000
165	blk.18.attn_k.weight	0x11657f400	0x440000
166	blk.18.attn_norm.weight	0x1169bf400	0x4000
167	blk.18.attn_output.weight	0x1169c3400	0x1100000
168	blk.18.attn_q.weight	0x117ac3400	0x1100000
169	blk.18.attn_v.weight	0x118bc3400	0x440000
170	blk.18.ffn_down.weight	0x119003400	0x3520000
171	blk.18.ffn_gate.weight	0x11c523400	0x3520000
172	blk.18.ffn_norm.weight	0x11fa43400	0x4000
173	blk.18.ffn_up.weight	0x11fa47400	0x3520000
174	blk.19.attn_k.weight	0x122f67400	0x440000
175	blk.19.attn_norm.weight	0x1233a7400	0x4000
176	blk.19.attn_output.weight	0x1233ab400	0x1100000
177	blk.19.attn_q.weight	0x1244ab400	0x1100000
178	blk.19.attn_v.weight	0x1255ab400	0x440000
179	blk.19.ffn_down.weight	0x1259eb400	0x3520000
180	blk.19.ffn_gate.weight	0x128f0b400	0x3520000
181	blk.19.ffn_norm.weight	0x12c42b400	0x4000
182	blk.19.ffn_up.weight	0x12c42f400	0x3520000
183	blk.20.attn_k.weight	0x12f94f400	0x440000
184	blk.20.attn_norm.weight	0x12fd8f400	0x4000
185	blk.20.attn_output.weight	0x12fd93400	0x1100000
186	blk.20.attn_q.weight	0x130e93400	0x1100000
187	blk.20.attn_v.weight	0x131f93400	0x800000
188	blk.20.ffn_down.weight	0x132793400	0x3520000
189	blk.20.ffn_gate.weight	0x135cb3400	0x3520000
190	blk.20.ffn_norm.weight	0x1391d3400	0x4000
191	blk.20.ffn_up.weight	0x1391d7400	0x3520000
192	blk.21.attn_k.weight	0x13c6f7400	0x440000
193	blk.21.attn_norm.weight	0x13cb37400	0x4000
194	blk.21.attn_output.weight	0x13cb3b400	0x1100000
195	blk.21.attn_q.weight	0x13dc3b400	0x1100000
196	blk.21.attn_v.weight	0x13ed3b400	0x440000
197	blk.21.ffn_down.weight	0x13f17b400	0x3520000
198	blk.21.ffn_gate.weight	0x14269b400	0x3520000
199	blk.21.ffn_norm.weight	0x145bbb400	0x4000
200	blk.21.ffn_up.weight	0x145bbf400	0x3520000
201	blk.22.attn_k.weight	0x1490df400	0x440000
202	blk.22.attn_norm.weight	0x14951f400	0x4000
203	blk.22.attn_output.weight	0x149523400	0x1100000
204	blk.22.attn_q.weight	0x14a623400	0x1100000
205	blk.22.attn_v.weight	0x14b723400	0x440000
206	blk.22.ffn_down.weight	0x14bb63400	0x3520000
207	blk.22.ffn_gate.weight	0x14f083400	0x3520000
208	blk.22.ffn_norm.weight	0x1525a3400	0x4000
209	blk.22.ffn_up.weight	0x1525a7400	0x3520000
210	blk.23.attn_k.weight	0x155ac7400	0x440000
211	blk.23.attn_norm.weight	0x155f07400	0x4000
212	blk.23.attn_output.weight	0x155f0b400	0x1100000
213	blk.23.attn_q.weight	0x15700b400	0x1100000
214	blk.23.attn_v.weight	0x15810b400	0x440000
215	blk.23.ffn_down.weight	0x15854b400	0x3520000
216	blk.23.ffn_gate.weight	0x15ba6b400	0x3520000
217	blk.23.ffn_norm.weight	0x15ef8b400	0x4000
218	blk.23.ffn_up.weight	0x15ef8f400	0x3520000
219	blk.24.attn_k.weight	0x1624af400	0x440000
220	blk.24.attn_norm.weight	0x1628ef400	0x4000
221	blk.24.attn_output.weight	0x1628f3400	0x1100000
222	blk.24.attn_q.weight	0x1639f3400	0x1100000
223	blk.24.attn_v.weight	0x164af3400	0x440000
224	blk.24.ffn_down.weight	0x164f33400	0x3520000
225	blk.24.ffn_gate.weight	0x168453400	0x3520000
226	blk.24.ffn_norm.weight	0x16b973400	0x4000
227	blk.24.ffn_up.weight	0x16b977400	0x3520000
228	blk.25.attn_k.weight	0x16ee97400	0x440000
229	blk.25.attn_norm.weight	0x16f2d7400	0x4000
230	blk.25.attn_output.weight	0x16f2db400	0x1100000
231	blk.25.attn_q.weight	0x1703db400	0x1100000
232	blk.25.attn_v.weight	0x1714db400	0x800000
233	blk.25.ffn_down.weight	0x171cdb400	0x3520000
234	blk.25.ffn_gate.weight	0x1751fb400	0x3520000
235	blk.25.ffn_norm.weight	0x17871b400	0x4000
236	blk.25.ffn_up.weight	0x17871f400	0x3520000
237	blk.26.attn_k.weight	0x17bc3f400	0x440000
238	blk.26.attn_norm.weight	0x17c07f400	0x4000
239	blk.26.attn_output.weight	0x17c083400	0x1100000
240	blk.26.attn_q.weight	0x17d183400	0x1100000
241	blk.26.attn_v.weight	0x17e283400	0x440000
242	blk.26.ffn_down.weight	0x17e6c3400	0x3520000
243	blk.26.ffn_gate.weight	0x181be3400	0x3520000
244	blk.26.ffn_norm.weight	0x185103400	0x4000
245	blk.26.ffn_up.weight	0x185107400	0x3520000
246	blk.27.attn_k.weight	0x188627400	0x440000
247	blk.27.attn_norm.weight	0x188a67400	0x4000
248	blk.27.attn_output.weight	0x188a6b400	0x1100000
249	blk.27.attn_q.weight	0x189b6b400	0x1100000
250	blk.27.attn_v.weight	0x18ac6b400	0x440000
251	blk.27.ffn_down.weight	0x18b0ab400	0x3520000
252	blk.27.ffn_gate.weight	0x18e5cb400	0x3520000
253	blk.27.ffn_norm.weight	0x191aeb400	0x4000
254	blk.27.ffn_up.weight	0x191aef400	0x3520000
255	blk.28.attn_k.weight	0x19500f400	0x440000
256	blk.28.attn_norm.weight	0x19544f400	0x4000
257	blk.28.attn_output.weight	0x195453400	0x1100000
258	blk.28.attn_q.weight	0x196553400	0x1100000
259	blk.28.attn_v.weight	0x197653400	0x800000
260	blk.28.ffn_down.weight	0x197e53400	0x3520000
261	blk.28.ffn_gate.weight	0x19b373400	0x3520000
262	blk.28.ffn_norm.weight	0x19e893400	0x4000
263	blk.28.ffn_up.weight	0x19e897400	0x3520000
264	blk.29.attn_k.weight	0x1a1db7400	0x440000
265	blk.29.attn_norm.weight	0x1a21f7400	0x4000
266	blk.29.attn_output.weight	0x1a21fb400	0x1100000
267	blk.29.attn_q.weight	0x1a32fb400	0x1100000
268	blk.29.attn_v.weight	0x1a43fb400	0x440000
269	blk.29.ffn_down.weight	0x1a483b400	0x3520000
270	blk.29.ffn_gate.weight	0x1a7d5b400	0x3520000
271	blk.29.ffn_norm.weight	0x1ab27b400	0x4000
272	blk.29.ffn_up.weight	0x1ab27f400	0x3520000
273	blk.30.attn_k.weight	0x1ae79f400	0x440000
274	blk.30.attn_norm.weight	0x1aebdf400	0x4000
275	blk.30.attn_output.weight	0x1aebe3400	0x1100000
276	blk.30.attn_q.weight	0x1afce3400	0x1100000
277	blk.30.attn_v.weight	0x1b0de3400	0x800000
278	blk.30.ffn_down.weight	0x1b15e3400	0x3520000
279	blk.30.ffn_gate.weight	0x1b4b03400	0x3520000
280	blk.30.ffn_norm.weight	0x1b8023400	0x4000
281	blk.30.ffn_up.weight	0x1b8027400	0x3520000
282	blk.31.attn_k.weight	0x1bb547400	0x440000
283	blk.31.attn_norm.weight	0x1bb987400	0x4000
284	blk.31.attn_output.weight	0x1bb98b400	0x1100000
285	blk.31.attn_q.weight	0x1bca8b400	0x1100000
286	blk.31.attn_v.weight	0x1bdb8b400	0x440000
287	blk.31.ffn_down.weight	0x1bdfcb400	0x3520000
288	blk.31.ffn_gate.weight	0x1c14eb400	0x3520000
289	blk.31.ffn_norm.weight	0x1c4a0b400	0x4000
290	blk.31.ffn_up.weight	0x1c4a0f400	0x3520000
291	blk.32.attn_k.weight	0x1c7f2f400	0x440000
292	blk.32.attn_norm.weight	0x1c836f400	0x4000
293	blk.32.attn_output.weight	0x1c8373400	0x1100000
294	blk.32.attn_q.weight	0x1c9473400	0x1100000
295	blk.32.attn_v.weight	0x1ca573400	0x440000
296	blk.32.ffn_down.weight	0x1ca9b3400	0x3520000
297	blk.32.ffn_gate.weight	0x1cded3400	0x3520000
298	blk.32.ffn_norm.weight	0x1d13f3400	0x4000
299	blk.32.ffn_up.weight	0x1d13f7400	0x3520000
300	blk.33.attn_k.weight	0x1d4917400	0x440000
301	blk.33.attn_norm.weight	0x1d4d57400	0x4000
302	blk.33.attn_output.weight	0x1d4d5b400	0x1100000
303	blk.33.attn_q.weight	0x1d5e5b400	0x1100000
304	blk.33.attn_v.weight	0x1d6f5b400	0x440000
305	blk.33.ffn_down.weight	0x1d739b400	0x3520000
306	blk.33.ffn_gate.weight	0x1da8bb400	0x3520000
307	blk.33.ffn_norm.weight	0x1ddddb400	0x4000
308	blk.33.ffn_up.weight	0x1ddddf400	0x3520000
309	blk.34.attn_k.weight	0x1e12ff400	0x440000
310	blk.34.attn_norm.weight	0x1e173f400	0x4000
311	blk.34.attn_output.weight	0x1e1743400	0x1100000
312	blk.34.attn_q.weight	0x1e2843400	0x1100000
313	blk.34.attn_v.weight	0x1e3943400	0x440000
314	blk.34.ffn_down.weight	0x1e3d83400	0x3520000
315	blk.34.ffn_gate.weight	0x1e72a3400	0x3520000
316	blk.34.ffn_norm.weight	0x1ea7c3400	0x4000
317	blk.34.ffn_up.weight	0x1ea7c7400	0x3520000
318	blk.35.attn_k.weight	0x1edce7400	0x440000
319	blk.35.attn_norm.weight	0x1ee127400	0x4000
320	blk.35.attn_output.weight	0x1ee12b400	0x1100000
321	blk.35.attn_q.weight	0x1ef22b400	0x1100000
322	blk.35.attn_v.weight	0x1f032b400	0x440000
323	blk.35.ffn_down.weight	0x1f076b400	0x3520000
324	blk.35.ffn_gate.weight	0x1f3c8b400	0x3520000
325	blk.35.ffn_norm.weight	0x1f71ab400	0x4000
326	blk.35.ffn_up.weight	0x1f71af400	0x3520000
327	blk.36.attn_k.weight	0x1fa6cf400	0x440000
328	blk.36.attn_norm.weight	0x1fab0f400	0x4000
329	blk.36.attn_output.weight	0x1fab13400	0x1100000
330	blk.36.attn_q.weight	0x1fbc13400	0x1100000
331	blk.36.attn_v.weight	0x1fcd13400	0x440000
332	blk.36.ffn_down.weight	0x1fd153400	0x3520000
333	blk.36.ffn_gate.weight	0x200673400	0x3520000
334	blk.36.ffn_norm.weight	0x203b93400	0x4000
335	blk.36.ffn_up.weight	0x203b97400	0x3520000
336	blk.37.attn_k.weight	0x2070b7400	0x440000
337	blk.37.attn_norm.weight	0x2074f7400	0x4000
338	blk.37.attn_output.weight	0x2074fb400	0x1100000
339	blk.37.attn_q.weight	0x2085fb400	0x1100000
340	blk.37.attn_v.weight	0x2096fb400	0x440000
341	blk.37.ffn_down.weight	0x209b3b400	0x3520000
342	blk.37.ffn_gate.weight	0x20d05b400	0x3520000
343	blk.37.ffn_norm.weight	0x21057b400	0x4000
344	blk.37.ffn_up.weight	0x21057f400	0x3520000
345	blk.38.attn_k.weight	0x213a9f400	0x440000
346	blk.38.attn_norm.weight	0x213edf400	0x4000
347	blk.38.attn_output.weight	0x213ee3400	0x1100000
348	blk.38.attn_q.weight	0x214fe3400	0x1100000
349	blk.38.attn_v.weight	0x2160e3400	0x440000
350	blk.38.ffn_down.weight	0x216523400	0x3520000
351	blk.38.ffn_gate.weight	0x219a43400	0x3520000
352	blk.38.ffn_norm.weight	0x21cf63400	0x4000
353	blk.38.ffn_up.weight	0x21cf67400	0x3520000
354	blk.39.attn_k.weight	0x220487400	0x440000
355	blk.39.attn_norm.weight	0x2208c7400	0x4000
356	blk.39.attn_output.weight	0x2208cb400	0x1100000
357	blk.39.attn_q.weight	0x2219cb400	0x1100000
358	blk.39.attn_v.weight	0x222acb400	0x440000
359	blk.39.ffn_down.weight	0x222f0b400	0x3520000
360	blk.39.ffn_gate.weight	0x22642b400	0x3520000
361	blk.39.ffn_norm.weight	0x22994b400	0x4000
362	blk.39.ffn_up.weight	0x22994f400	0x3520000

Base Tensor Group : ~822M Elements

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

• Total elements in base: (~822M) 822087680
• Percentage of total elements: 9.35%
• Bits per Weight (BPW) for base: 8.5001 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	Q8_0	8.5000
4	blk.0.attn_norm.weight	Block 0 Attention Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
5	blk.0.attn_output.weight	Block 0 Attention Output (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q6_K	6.5625
7	blk.0.attn_v.weight	Block 0 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
8	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
9	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
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	Q8_0	8.5000

• Total elements in blk.0: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.0: 7.8280 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	Q8_0	8.5000
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	Q8_0	8.5000
15	blk.1.attn_q.weight	Block 1 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
16	blk.1.attn_v.weight	Block 1 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
17	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
18	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.1: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.1: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
24	blk.2.attn_q.weight	Block 2 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
25	blk.2.attn_v.weight	Block 2 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
26	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
27	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.2: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.2: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
33	blk.3.attn_q.weight	Block 3 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
34	blk.3.attn_v.weight	Block 3 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
35	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_1	6.0000
36	blk.3.ffn_gate.weight	Block 3 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.3: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.3: 8.0010 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	Q8_0	8.5000
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	Q8_0	8.5000
42	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
43	blk.4.attn_v.weight	Block 4 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
44	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
45	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.4: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.4: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
51	blk.5.attn_q.weight	Block 5 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
52	blk.5.attn_v.weight	Block 5 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
53	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_1	6.0000
54	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.5: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.5: 8.0010 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	Q8_0	8.5000
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	Q8_0	8.5000
60	blk.6.attn_q.weight	Block 6 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
61	blk.6.attn_v.weight	Block 6 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
62	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
63	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.6: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.6: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
69	blk.7.attn_q.weight	Block 7 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
70	blk.7.attn_v.weight	Block 7 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
71	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
72	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.7: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.7: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
78	blk.8.attn_q.weight	Block 8 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
79	blk.8.attn_v.weight	Block 8 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
80	blk.8.ffn_down.weight	Block 8 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
81	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.8: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.8: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
87	blk.9.attn_q.weight	Block 9 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
88	blk.9.attn_v.weight	Block 9 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
89	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
90	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.9: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.9: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
96	blk.10.attn_q.weight	Block 10 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
97	blk.10.attn_v.weight	Block 10 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
98	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
99	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.10: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.10: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
105	blk.11.attn_q.weight	Block 11 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
106	blk.11.attn_v.weight	Block 11 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
107	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
108	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
109	blk.11.ffn_norm.weight	Block 11 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
110	blk.11.ffn_up.weight	Block 11 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.11: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.11: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
114	blk.12.attn_q.weight	Block 12 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
115	blk.12.attn_v.weight	Block 12 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
116	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
117	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
118	blk.12.ffn_norm.weight	Block 12 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
119	blk.12.ffn_up.weight	Block 12 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.12: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.12: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
123	blk.13.attn_q.weight	Block 13 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
124	blk.13.attn_v.weight	Block 13 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
125	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
126	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.13: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.13: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
132	blk.14.attn_q.weight	Block 14 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
133	blk.14.attn_v.weight	Block 14 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
134	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
135	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.14: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.14: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
141	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
142	blk.15.attn_v.weight	Block 15 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
143	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
144	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.15: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.15: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
150	blk.16.attn_q.weight	Block 16 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
151	blk.16.attn_v.weight	Block 16 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
152	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
153	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.16: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.16: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
159	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
160	blk.17.attn_v.weight	Block 17 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
161	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
162	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.17: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.17: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
168	blk.18.attn_q.weight	Block 18 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
169	blk.18.attn_v.weight	Block 18 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
170	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
171	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.18: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.18: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
177	blk.19.attn_q.weight	Block 19 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
178	blk.19.attn_v.weight	Block 19 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
179	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
180	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.19: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.19: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
186	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
187	blk.20.attn_v.weight	Block 20 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
188	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
189	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.20: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.20: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
195	blk.21.attn_q.weight	Block 21 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
196	blk.21.attn_v.weight	Block 21 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
197	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
198	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.21: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.21: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
204	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
205	blk.22.attn_v.weight	Block 22 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
206	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
207	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.22: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.22: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
213	blk.23.attn_q.weight	Block 23 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
214	blk.23.attn_v.weight	Block 23 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
215	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
216	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.23: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.23: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
222	blk.24.attn_q.weight	Block 24 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
223	blk.24.attn_v.weight	Block 24 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
224	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
225	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.24: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.24: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
231	blk.25.attn_q.weight	Block 25 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
232	blk.25.attn_v.weight	Block 25 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
233	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
234	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.25: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.25: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
240	blk.26.attn_q.weight	Block 26 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
241	blk.26.attn_v.weight	Block 26 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
242	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
243	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.26: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.26: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
249	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
250	blk.27.attn_v.weight	Block 27 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
251	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
252	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.27: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.27: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
258	blk.28.attn_q.weight	Block 28 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
259	blk.28.attn_v.weight	Block 28 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
260	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
261	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.28: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.28: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
267	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
268	blk.29.attn_v.weight	Block 29 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
269	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
270	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.29: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.29: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
276	blk.30.attn_q.weight	Block 30 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
277	blk.30.attn_v.weight	Block 30 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	BF16	16.0000
278	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
279	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.30: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.30: 8.6589 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	Q8_0	8.5000
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	Q8_0	8.5000
285	blk.31.attn_q.weight	Block 31 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
286	blk.31.attn_v.weight	Block 31 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
287	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
288	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.31: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.31: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
294	blk.32.attn_q.weight	Block 32 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
295	blk.32.attn_v.weight	Block 32 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
296	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
297	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.32: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.32: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
303	blk.33.attn_q.weight	Block 33 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
304	blk.33.attn_v.weight	Block 33 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
305	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
306	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.33: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.33: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
312	blk.34.attn_q.weight	Block 34 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
313	blk.34.attn_v.weight	Block 34 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
314	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
315	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.34: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.34: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
321	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
322	blk.35.attn_v.weight	Block 35 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
323	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
324	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.35: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.35: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
330	blk.36.attn_q.weight	Block 36 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
331	blk.36.attn_v.weight	Block 36 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
332	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
333	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.36: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.36: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
339	blk.37.attn_q.weight	Block 37 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
340	blk.37.attn_v.weight	Block 37 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
341	blk.37.ffn_down.weight	Block 37 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
342	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.37: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.37: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
348	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
349	blk.38.attn_v.weight	Block 38 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
350	blk.38.ffn_down.weight	Block 38 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
351	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.38: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.38: 8.5010 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	Q8_0	8.5000
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	Q8_0	8.5000
357	blk.39.attn_q.weight	Block 39 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q8_0	8.5000
358	blk.39.attn_v.weight	Block 39 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
359	blk.39.ffn_down.weight	Block 39 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q8_0	8.5000
360	blk.39.ffn_gate.weight	Block 39 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000
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	Q8_0	8.5000

• Total elements in blk.39: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.39: 8.5010 bits

Total BPW for granite-4.1-8b-Q8_0.gguf: 8.4988 bits