granite-4.1-8b-GGUF/scores/granite-4.1-8b-Q7_K.md

granite-4.1-8b-WIP/granite-4.1-8b-Q7_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	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-Q7_K.gguf - GGUF Internal File Dump
  • Key Value Metadata Store
  • Tensors Overview ~9B Elements
    • Tensor Data Offset
    • Base Tensor Group : ~822M Elements
    • Block 0 Tensor Group : ~199M Elements
    • Block 1 Tensor Group : ~199M Elements
    • Block 2 Tensor Group : ~199M Elements
    • Block 3 Tensor Group : ~199M Elements
    • Block 4 Tensor Group : ~199M Elements
    • Block 5 Tensor Group : ~199M Elements
    • Block 6 Tensor Group : ~199M Elements
    • Block 7 Tensor Group : ~199M Elements
    • Block 8 Tensor Group : ~199M Elements
    • Block 9 Tensor Group : ~199M Elements
    • Block 10 Tensor Group : ~199M Elements
    • Block 11 Tensor Group : ~199M Elements
    • Block 12 Tensor Group : ~199M Elements
    • Block 13 Tensor Group : ~199M Elements
    • Block 14 Tensor Group : ~199M Elements
    • Block 15 Tensor Group : ~199M Elements
    • Block 16 Tensor Group : ~199M Elements
    • Block 17 Tensor Group : ~199M Elements
    • Block 18 Tensor Group : ~199M Elements
    • Block 19 Tensor Group : ~199M Elements
    • Block 20 Tensor Group : ~199M Elements
    • Block 21 Tensor Group : ~199M Elements
    • Block 22 Tensor Group : ~199M Elements
    • Block 23 Tensor Group : ~199M Elements
    • Block 24 Tensor Group : ~199M Elements
    • Block 25 Tensor Group : ~199M Elements
    • Block 26 Tensor Group : ~199M Elements
    • Block 27 Tensor Group : ~199M Elements
    • Block 28 Tensor Group : ~199M Elements
    • Block 29 Tensor Group : ~199M Elements
    • Block 30 Tensor Group : ~199M Elements
    • Block 31 Tensor Group : ~199M Elements
    • Block 32 Tensor Group : ~199M Elements
    • Block 33 Tensor Group : ~199M Elements
    • Block 34 Tensor Group : ~199M Elements
    • Block 35 Tensor Group : ~199M Elements
    • Block 36 Tensor Group : ~199M Elements
    • Block 37 Tensor Group : ~199M Elements
    • Block 38 Tensor Group : ~199M Elements
    • Block 39 Tensor Group : ~199M Elements

Tensor Data Offset

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

T_ID	Tensor Layer Name	Data Offset (B)	Data Size (B)
0	output.weight	0x367400	0x1a080000
1	output_norm.weight	0x1a3e7400	0x4000
2	token_embd.weight	0x1a3eb400	0x1a080000
3	blk.0.attn_k.weight	0x3446b400	0x348000
4	blk.0.attn_norm.weight	0x347b3400	0x4000
5	blk.0.attn_output.weight	0x347b7400	0xd20000
6	blk.0.attn_q.weight	0x354d7400	0xc00000
7	blk.0.attn_v.weight	0x360d7400	0x440000
8	blk.0.ffn_down.weight	0x36517400	0x2580000
9	blk.0.ffn_gate.weight	0x38a97400	0x2904000
10	blk.0.ffn_norm.weight	0x3b39b400	0x4000
11	blk.0.ffn_up.weight	0x3b39f400	0x3520000
12	blk.1.attn_k.weight	0x3e8bf400	0x348000
13	blk.1.attn_norm.weight	0x3ec07400	0x4000
14	blk.1.attn_output.weight	0x3ec0b400	0x1100000
15	blk.1.attn_q.weight	0x3fd0b400	0xd20000
16	blk.1.attn_v.weight	0x40a2b400	0x440000
17	blk.1.ffn_down.weight	0x40e6b400	0x2904000
18	blk.1.ffn_gate.weight	0x4376f400	0x2904000
19	blk.1.ffn_norm.weight	0x46073400	0x4000
20	blk.1.ffn_up.weight	0x46077400	0x3520000
21	blk.2.attn_k.weight	0x49597400	0x348000
22	blk.2.attn_norm.weight	0x498df400	0x4000
23	blk.2.attn_output.weight	0x498e3400	0x1100000
24	blk.2.attn_q.weight	0x4a9e3400	0xd20000
25	blk.2.attn_v.weight	0x4b703400	0x440000
26	blk.2.ffn_down.weight	0x4bb43400	0x2904000
27	blk.2.ffn_gate.weight	0x4e447400	0x2904000
28	blk.2.ffn_norm.weight	0x50d4b400	0x4000
29	blk.2.ffn_up.weight	0x50d4f400	0x3520000
30	blk.3.attn_k.weight	0x5426f400	0x348000
31	blk.3.attn_norm.weight	0x545b7400	0x4000
32	blk.3.attn_output.weight	0x545bb400	0x1100000
33	blk.3.attn_q.weight	0x556bb400	0xd20000
34	blk.3.attn_v.weight	0x563db400	0x440000
35	blk.3.ffn_down.weight	0x5681b400	0x2580000
36	blk.3.ffn_gate.weight	0x58d9b400	0x3520000
37	blk.3.ffn_norm.weight	0x5c2bb400	0x4000
38	blk.3.ffn_up.weight	0x5c2bf400	0x3520000
39	blk.4.attn_k.weight	0x5f7df400	0x348000
40	blk.4.attn_norm.weight	0x5fb27400	0x4000
41	blk.4.attn_output.weight	0x5fb2b400	0x1100000
42	blk.4.attn_q.weight	0x60c2b400	0x1100000
43	blk.4.attn_v.weight	0x61d2b400	0x440000
44	blk.4.ffn_down.weight	0x6216b400	0x2904000
45	blk.4.ffn_gate.weight	0x64a6f400	0x2904000
46	blk.4.ffn_norm.weight	0x67373400	0x4000
47	blk.4.ffn_up.weight	0x67377400	0x3520000
48	blk.5.attn_k.weight	0x6a897400	0x348000
49	blk.5.attn_norm.weight	0x6abdf400	0x4000
50	blk.5.attn_output.weight	0x6abe3400	0x1100000
51	blk.5.attn_q.weight	0x6bce3400	0x1100000
52	blk.5.attn_v.weight	0x6cde3400	0x440000
53	blk.5.ffn_down.weight	0x6d223400	0x2580000
54	blk.5.ffn_gate.weight	0x6f7a3400	0x3520000
55	blk.5.ffn_norm.weight	0x72cc3400	0x4000
56	blk.5.ffn_up.weight	0x72cc7400	0x3520000
57	blk.6.attn_k.weight	0x761e7400	0x440000
58	blk.6.attn_norm.weight	0x76627400	0x4000
59	blk.6.attn_output.weight	0x7662b400	0x1100000
60	blk.6.attn_q.weight	0x7772b400	0x1100000
61	blk.6.attn_v.weight	0x7882b400	0x440000
62	blk.6.ffn_down.weight	0x78c6b400	0x2904000
63	blk.6.ffn_gate.weight	0x7b56f400	0x2904000
64	blk.6.ffn_norm.weight	0x7de73400	0x4000
65	blk.6.ffn_up.weight	0x7de77400	0x3520000
66	blk.7.attn_k.weight	0x81397400	0x440000
67	blk.7.attn_norm.weight	0x817d7400	0x4000
68	blk.7.attn_output.weight	0x817db400	0x1100000
69	blk.7.attn_q.weight	0x828db400	0x1100000
70	blk.7.attn_v.weight	0x839db400	0x440000
71	blk.7.ffn_down.weight	0x83e1b400	0x2904000
72	blk.7.ffn_gate.weight	0x8671f400	0x2904000
73	blk.7.ffn_norm.weight	0x89023400	0x4000
74	blk.7.ffn_up.weight	0x89027400	0x3520000
75	blk.8.attn_k.weight	0x8c547400	0x348000
76	blk.8.attn_norm.weight	0x8c88f400	0x4000
77	blk.8.attn_output.weight	0x8c893400	0x1100000
78	blk.8.attn_q.weight	0x8d993400	0xd20000
79	blk.8.attn_v.weight	0x8e6b3400	0x440000
80	blk.8.ffn_down.weight	0x8eaf3400	0x2904000
81	blk.8.ffn_gate.weight	0x913f7400	0x2904000
82	blk.8.ffn_norm.weight	0x93cfb400	0x4000
83	blk.8.ffn_up.weight	0x93cff400	0x3520000
84	blk.9.attn_k.weight	0x9721f400	0x348000
85	blk.9.attn_norm.weight	0x97567400	0x4000
86	blk.9.attn_output.weight	0x9756b400	0x1100000
87	blk.9.attn_q.weight	0x9866b400	0xd20000
88	blk.9.attn_v.weight	0x9938b400	0x440000
89	blk.9.ffn_down.weight	0x997cb400	0x2904000
90	blk.9.ffn_gate.weight	0x9c0cf400	0x2904000
91	blk.9.ffn_norm.weight	0x9e9d3400	0x4000
92	blk.9.ffn_up.weight	0x9e9d7400	0x3520000
93	blk.10.attn_k.weight	0xa1ef7400	0x348000
94	blk.10.attn_norm.weight	0xa223f400	0x4000
95	blk.10.attn_output.weight	0xa2243400	0x1100000
96	blk.10.attn_q.weight	0xa3343400	0xd20000
97	blk.10.attn_v.weight	0xa4063400	0x440000
98	blk.10.ffn_down.weight	0xa44a3400	0x2904000
99	blk.10.ffn_gate.weight	0xa6da7400	0x2904000
100	blk.10.ffn_norm.weight	0xa96ab400	0x4000
101	blk.10.ffn_up.weight	0xa96af400	0x3520000
102	blk.11.attn_k.weight	0xacbcf400	0x348000
103	blk.11.attn_norm.weight	0xacf17400	0x4000
104	blk.11.attn_output.weight	0xacf1b400	0x1100000
105	blk.11.attn_q.weight	0xae01b400	0xd20000
106	blk.11.attn_v.weight	0xaed3b400	0x440000
107	blk.11.ffn_down.weight	0xaf17b400	0x2904000
108	blk.11.ffn_gate.weight	0xb1a7f400	0x2904000
109	blk.11.ffn_norm.weight	0xb4383400	0x4000
110	blk.11.ffn_up.weight	0xb4387400	0x3520000
111	blk.12.attn_k.weight	0xb78a7400	0x348000
112	blk.12.attn_norm.weight	0xb7bef400	0x4000
113	blk.12.attn_output.weight	0xb7bf3400	0x1100000
114	blk.12.attn_q.weight	0xb8cf3400	0xd20000
115	blk.12.attn_v.weight	0xb9a13400	0x440000
116	blk.12.ffn_down.weight	0xb9e53400	0x2904000
117	blk.12.ffn_gate.weight	0xbc757400	0x2904000
118	blk.12.ffn_norm.weight	0xbf05b400	0x4000
119	blk.12.ffn_up.weight	0xbf05f400	0x3520000
120	blk.13.attn_k.weight	0xc257f400	0x348000
121	blk.13.attn_norm.weight	0xc28c7400	0x4000
122	blk.13.attn_output.weight	0xc28cb400	0x1100000
123	blk.13.attn_q.weight	0xc39cb400	0xd20000
124	blk.13.attn_v.weight	0xc46eb400	0x440000
125	blk.13.ffn_down.weight	0xc4b2b400	0x2904000
126	blk.13.ffn_gate.weight	0xc742f400	0x2904000
127	blk.13.ffn_norm.weight	0xc9d33400	0x4000
128	blk.13.ffn_up.weight	0xc9d37400	0x3520000
129	blk.14.attn_k.weight	0xcd257400	0x348000
130	blk.14.attn_norm.weight	0xcd59f400	0x4000
131	blk.14.attn_output.weight	0xcd5a3400	0x1100000
132	blk.14.attn_q.weight	0xce6a3400	0xd20000
133	blk.14.attn_v.weight	0xcf3c3400	0x440000
134	blk.14.ffn_down.weight	0xcf803400	0x2904000
135	blk.14.ffn_gate.weight	0xd2107400	0x2904000
136	blk.14.ffn_norm.weight	0xd4a0b400	0x4000
137	blk.14.ffn_up.weight	0xd4a0f400	0x3520000
138	blk.15.attn_k.weight	0xd7f2f400	0x440000
139	blk.15.attn_norm.weight	0xd836f400	0x4000
140	blk.15.attn_output.weight	0xd8373400	0x1100000
141	blk.15.attn_q.weight	0xd9473400	0x1100000
142	blk.15.attn_v.weight	0xda573400	0x440000
143	blk.15.ffn_down.weight	0xda9b3400	0x2904000
144	blk.15.ffn_gate.weight	0xdd2b7400	0x2904000
145	blk.15.ffn_norm.weight	0xdfbbb400	0x4000
146	blk.15.ffn_up.weight	0xdfbbf400	0x3520000
147	blk.16.attn_k.weight	0xe30df400	0x440000
148	blk.16.attn_norm.weight	0xe351f400	0x4000
149	blk.16.attn_output.weight	0xe3523400	0x1100000
150	blk.16.attn_q.weight	0xe4623400	0x1100000
151	blk.16.attn_v.weight	0xe5723400	0x440000
152	blk.16.ffn_down.weight	0xe5b63400	0x2904000
153	blk.16.ffn_gate.weight	0xe8467400	0x2904000
154	blk.16.ffn_norm.weight	0xead6b400	0x4000
155	blk.16.ffn_up.weight	0xead6f400	0x3520000
156	blk.17.attn_k.weight	0xee28f400	0x348000
157	blk.17.attn_norm.weight	0xee5d7400	0x4000
158	blk.17.attn_output.weight	0xee5db400	0x1100000
159	blk.17.attn_q.weight	0xef6db400	0xd20000
160	blk.17.attn_v.weight	0xf03fb400	0x440000
161	blk.17.ffn_down.weight	0xf083b400	0x2904000
162	blk.17.ffn_gate.weight	0xf313f400	0x2904000
163	blk.17.ffn_norm.weight	0xf5a43400	0x4000
164	blk.17.ffn_up.weight	0xf5a47400	0x3520000
165	blk.18.attn_k.weight	0xf8f67400	0x348000
166	blk.18.attn_norm.weight	0xf92af400	0x4000
167	blk.18.attn_output.weight	0xf92b3400	0x1100000
168	blk.18.attn_q.weight	0xfa3b3400	0xd20000
169	blk.18.attn_v.weight	0xfb0d3400	0x440000
170	blk.18.ffn_down.weight	0xfb513400	0x2904000
171	blk.18.ffn_gate.weight	0xfde17400	0x2904000
172	blk.18.ffn_norm.weight	0x10071b400	0x4000
173	blk.18.ffn_up.weight	0x10071f400	0x3520000
174	blk.19.attn_k.weight	0x103c3f400	0x348000
175	blk.19.attn_norm.weight	0x103f87400	0x4000
176	blk.19.attn_output.weight	0x103f8b400	0x1100000
177	blk.19.attn_q.weight	0x10508b400	0xd20000
178	blk.19.attn_v.weight	0x105dab400	0x440000
179	blk.19.ffn_down.weight	0x1061eb400	0x2904000
180	blk.19.ffn_gate.weight	0x108aef400	0x2904000
181	blk.19.ffn_norm.weight	0x10b3f3400	0x4000
182	blk.19.ffn_up.weight	0x10b3f7400	0x3520000
183	blk.20.attn_k.weight	0x10e917400	0x348000
184	blk.20.attn_norm.weight	0x10ec5f400	0x4000
185	blk.20.attn_output.weight	0x10ec63400	0x1100000
186	blk.20.attn_q.weight	0x10fd63400	0x1100000
187	blk.20.attn_v.weight	0x110e63400	0x440000
188	blk.20.ffn_down.weight	0x1112a3400	0x2904000
189	blk.20.ffn_gate.weight	0x113ba7400	0x2904000
190	blk.20.ffn_norm.weight	0x1164ab400	0x4000
191	blk.20.ffn_up.weight	0x1164af400	0x3520000
192	blk.21.attn_k.weight	0x1199cf400	0x348000
193	blk.21.attn_norm.weight	0x119d17400	0x4000
194	blk.21.attn_output.weight	0x119d1b400	0x1100000
195	blk.21.attn_q.weight	0x11ae1b400	0xd20000
196	blk.21.attn_v.weight	0x11bb3b400	0x440000
197	blk.21.ffn_down.weight	0x11bf7b400	0x2904000
198	blk.21.ffn_gate.weight	0x11e87f400	0x2904000
199	blk.21.ffn_norm.weight	0x121183400	0x4000
200	blk.21.ffn_up.weight	0x121187400	0x3520000
201	blk.22.attn_k.weight	0x1246a7400	0x348000
202	blk.22.attn_norm.weight	0x1249ef400	0x4000
203	blk.22.attn_output.weight	0x1249f3400	0x1100000
204	blk.22.attn_q.weight	0x125af3400	0xd20000
205	blk.22.attn_v.weight	0x126813400	0x440000
206	blk.22.ffn_down.weight	0x126c53400	0x2904000
207	blk.22.ffn_gate.weight	0x129557400	0x2904000
208	blk.22.ffn_norm.weight	0x12be5b400	0x4000
209	blk.22.ffn_up.weight	0x12be5f400	0x3520000
210	blk.23.attn_k.weight	0x12f37f400	0x348000
211	blk.23.attn_norm.weight	0x12f6c7400	0x4000
212	blk.23.attn_output.weight	0x12f6cb400	0x1100000
213	blk.23.attn_q.weight	0x1307cb400	0x1100000
214	blk.23.attn_v.weight	0x1318cb400	0x440000
215	blk.23.ffn_down.weight	0x131d0b400	0x2904000
216	blk.23.ffn_gate.weight	0x13460f400	0x2904000
217	blk.23.ffn_norm.weight	0x136f13400	0x4000
218	blk.23.ffn_up.weight	0x136f17400	0x3520000
219	blk.24.attn_k.weight	0x13a437400	0x348000
220	blk.24.attn_norm.weight	0x13a77f400	0x4000
221	blk.24.attn_output.weight	0x13a783400	0x1100000
222	blk.24.attn_q.weight	0x13b883400	0xd20000
223	blk.24.attn_v.weight	0x13c5a3400	0x440000
224	blk.24.ffn_down.weight	0x13c9e3400	0x2904000
225	blk.24.ffn_gate.weight	0x13f2e7400	0x2904000
226	blk.24.ffn_norm.weight	0x141beb400	0x4000
227	blk.24.ffn_up.weight	0x141bef400	0x3520000
228	blk.25.attn_k.weight	0x14510f400	0x348000
229	blk.25.attn_norm.weight	0x145457400	0x4000
230	blk.25.attn_output.weight	0x14545b400	0x1100000
231	blk.25.attn_q.weight	0x14655b400	0xd20000
232	blk.25.attn_v.weight	0x14727b400	0x440000
233	blk.25.ffn_down.weight	0x1476bb400	0x2904000
234	blk.25.ffn_gate.weight	0x149fbf400	0x2904000
235	blk.25.ffn_norm.weight	0x14c8c3400	0x4000
236	blk.25.ffn_up.weight	0x14c8c7400	0x3520000
237	blk.26.attn_k.weight	0x14fde7400	0x348000
238	blk.26.attn_norm.weight	0x15012f400	0x4000
239	blk.26.attn_output.weight	0x150133400	0x1100000
240	blk.26.attn_q.weight	0x151233400	0xd20000
241	blk.26.attn_v.weight	0x151f53400	0x440000
242	blk.26.ffn_down.weight	0x152393400	0x2904000
243	blk.26.ffn_gate.weight	0x154c97400	0x2904000
244	blk.26.ffn_norm.weight	0x15759b400	0x4000
245	blk.26.ffn_up.weight	0x15759f400	0x3520000
246	blk.27.attn_k.weight	0x15aabf400	0x348000
247	blk.27.attn_norm.weight	0x15ae07400	0x4000
248	blk.27.attn_output.weight	0x15ae0b400	0x1100000
249	blk.27.attn_q.weight	0x15bf0b400	0x1100000
250	blk.27.attn_v.weight	0x15d00b400	0x440000
251	blk.27.ffn_down.weight	0x15d44b400	0x2904000
252	blk.27.ffn_gate.weight	0x15fd4f400	0x2904000
253	blk.27.ffn_norm.weight	0x162653400	0x4000
254	blk.27.ffn_up.weight	0x162657400	0x3520000
255	blk.28.attn_k.weight	0x165b77400	0x440000
256	blk.28.attn_norm.weight	0x165fb7400	0x4000
257	blk.28.attn_output.weight	0x165fbb400	0x1100000
258	blk.28.attn_q.weight	0x1670bb400	0x1100000
259	blk.28.attn_v.weight	0x1681bb400	0x440000
260	blk.28.ffn_down.weight	0x1685fb400	0x2904000
261	blk.28.ffn_gate.weight	0x16aeff400	0x2904000
262	blk.28.ffn_norm.weight	0x16d803400	0x4000
263	blk.28.ffn_up.weight	0x16d807400	0x3520000
264	blk.29.attn_k.weight	0x170d27400	0x348000
265	blk.29.attn_norm.weight	0x17106f400	0x4000
266	blk.29.attn_output.weight	0x171073400	0x1100000
267	blk.29.attn_q.weight	0x172173400	0xd20000
268	blk.29.attn_v.weight	0x172e93400	0x440000
269	blk.29.ffn_down.weight	0x1732d3400	0x2904000
270	blk.29.ffn_gate.weight	0x175bd7400	0x2904000
271	blk.29.ffn_norm.weight	0x1784db400	0x4000
272	blk.29.ffn_up.weight	0x1784df400	0x3520000
273	blk.30.attn_k.weight	0x17b9ff400	0x440000
274	blk.30.attn_norm.weight	0x17be3f400	0x4000
275	blk.30.attn_output.weight	0x17be43400	0x1100000
276	blk.30.attn_q.weight	0x17cf43400	0x1100000
277	blk.30.attn_v.weight	0x17e043400	0x440000
278	blk.30.ffn_down.weight	0x17e483400	0x2904000
279	blk.30.ffn_gate.weight	0x180d87400	0x2904000
280	blk.30.ffn_norm.weight	0x18368b400	0x4000
281	blk.30.ffn_up.weight	0x18368f400	0x3520000
282	blk.31.attn_k.weight	0x186baf400	0x348000
283	blk.31.attn_norm.weight	0x186ef7400	0x4000
284	blk.31.attn_output.weight	0x186efb400	0x1100000
285	blk.31.attn_q.weight	0x187ffb400	0xd20000
286	blk.31.attn_v.weight	0x188d1b400	0x440000
287	blk.31.ffn_down.weight	0x18915b400	0x2904000
288	blk.31.ffn_gate.weight	0x18ba5f400	0x3520000
289	blk.31.ffn_norm.weight	0x18ef7f400	0x4000
290	blk.31.ffn_up.weight	0x18ef83400	0x3520000
291	blk.32.attn_k.weight	0x1924a3400	0x348000
292	blk.32.attn_norm.weight	0x1927eb400	0x4000
293	blk.32.attn_output.weight	0x1927ef400	0x1100000
294	blk.32.attn_q.weight	0x1938ef400	0x1100000
295	blk.32.attn_v.weight	0x1949ef400	0x440000
296	blk.32.ffn_down.weight	0x194e2f400	0x2904000
297	blk.32.ffn_gate.weight	0x197733400	0x2904000
298	blk.32.ffn_norm.weight	0x19a037400	0x4000
299	blk.32.ffn_up.weight	0x19a03b400	0x3520000
300	blk.33.attn_k.weight	0x19d55b400	0x348000
301	blk.33.attn_norm.weight	0x19d8a3400	0x4000
302	blk.33.attn_output.weight	0x19d8a7400	0x1100000
303	blk.33.attn_q.weight	0x19e9a7400	0xd20000
304	blk.33.attn_v.weight	0x19f6c7400	0x440000
305	blk.33.ffn_down.weight	0x19fb07400	0x2904000
306	blk.33.ffn_gate.weight	0x1a240b400	0x2904000
307	blk.33.ffn_norm.weight	0x1a4d0f400	0x4000
308	blk.33.ffn_up.weight	0x1a4d13400	0x3520000
309	blk.34.attn_k.weight	0x1a8233400	0x348000
310	blk.34.attn_norm.weight	0x1a857b400	0x4000
311	blk.34.attn_output.weight	0x1a857f400	0x1100000
312	blk.34.attn_q.weight	0x1a967f400	0x1100000
313	blk.34.attn_v.weight	0x1aa77f400	0x440000
314	blk.34.ffn_down.weight	0x1aabbf400	0x2904000
315	blk.34.ffn_gate.weight	0x1ad4c3400	0x2904000
316	blk.34.ffn_norm.weight	0x1afdc7400	0x4000
317	blk.34.ffn_up.weight	0x1afdcb400	0x3520000
318	blk.35.attn_k.weight	0x1b32eb400	0x348000
319	blk.35.attn_norm.weight	0x1b3633400	0x4000
320	blk.35.attn_output.weight	0x1b3637400	0x1100000
321	blk.35.attn_q.weight	0x1b4737400	0xd20000
322	blk.35.attn_v.weight	0x1b5457400	0x440000
323	blk.35.ffn_down.weight	0x1b5897400	0x2904000
324	blk.35.ffn_gate.weight	0x1b819b400	0x2904000
325	blk.35.ffn_norm.weight	0x1baa9f400	0x4000
326	blk.35.ffn_up.weight	0x1baaa3400	0x3520000
327	blk.36.attn_k.weight	0x1bdfc3400	0x348000
328	blk.36.attn_norm.weight	0x1be30b400	0x4000
329	blk.36.attn_output.weight	0x1be30f400	0x1100000
330	blk.36.attn_q.weight	0x1bf40f400	0xd20000
331	blk.36.attn_v.weight	0x1c012f400	0x440000
332	blk.36.ffn_down.weight	0x1c056f400	0x2904000
333	blk.36.ffn_gate.weight	0x1c2e73400	0x2904000
334	blk.36.ffn_norm.weight	0x1c5777400	0x4000
335	blk.36.ffn_up.weight	0x1c577b400	0x3520000
336	blk.37.attn_k.weight	0x1c8c9b400	0x348000
337	blk.37.attn_norm.weight	0x1c8fe3400	0x4000
338	blk.37.attn_output.weight	0x1c8fe7400	0x1100000
339	blk.37.attn_q.weight	0x1ca0e7400	0xd20000
340	blk.37.attn_v.weight	0x1cae07400	0x440000
341	blk.37.ffn_down.weight	0x1cb247400	0x2904000
342	blk.37.ffn_gate.weight	0x1cdb4b400	0x3520000
343	blk.37.ffn_norm.weight	0x1d106b400	0x4000
344	blk.37.ffn_up.weight	0x1d106f400	0x3520000
345	blk.38.attn_k.weight	0x1d458f400	0x348000
346	blk.38.attn_norm.weight	0x1d48d7400	0x4000
347	blk.38.attn_output.weight	0x1d48db400	0x1100000
348	blk.38.attn_q.weight	0x1d59db400	0xd20000
349	blk.38.attn_v.weight	0x1d66fb400	0x440000
350	blk.38.ffn_down.weight	0x1d6b3b400	0x2904000
351	blk.38.ffn_gate.weight	0x1d943f400	0x3520000
352	blk.38.ffn_norm.weight	0x1dc95f400	0x4000
353	blk.38.ffn_up.weight	0x1dc963400	0x3520000
354	blk.39.attn_k.weight	0x1dfe83400	0x348000
355	blk.39.attn_norm.weight	0x1e01cb400	0x4000
356	blk.39.attn_output.weight	0x1e01cf400	0x1100000
357	blk.39.attn_q.weight	0x1e12cf400	0xd20000
358	blk.39.attn_v.weight	0x1e1fef400	0x440000
359	blk.39.ffn_down.weight	0x1e242f400	0x2904000
360	blk.39.ffn_gate.weight	0x1e4d33400	0x3520000
361	blk.39.ffn_norm.weight	0x1e8253400	0x4000
362	blk.39.ffn_up.weight	0x1e8257400	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	Q6_K	6.5625
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	Q6_K	6.5625
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	Q5_1	6.0000
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	Q5_1	6.0000
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: 6.9188 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	Q6_K	6.5625
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	Q6_K	6.5625
16	blk.1.attn_v.weight	Block 1 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
17	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
18	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
19	blk.1.ffn_norm.weight	Block 1 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
20	blk.1.ffn_up.weight	Block 1 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.1: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.1: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
25	blk.2.attn_v.weight	Block 2 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
26	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
27	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
28	blk.2.ffn_norm.weight	Block 2 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
29	blk.2.ffn_up.weight	Block 2 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.2: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.2: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
34	blk.3.attn_v.weight	Block 3 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
35	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_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: 7.6392 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	Q6_K	6.5625
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	Q8_0	8.5000
44	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
45	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
46	blk.4.ffn_norm.weight	Block 4 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
47	blk.4.ffn_up.weight	Block 4 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.4: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.4: 7.4405 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	Q6_K	6.5625
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	Q8_0	8.5000
53	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q5_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: 7.8023 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	Q8_0	8.5000
62	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
63	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
64	blk.6.ffn_norm.weight	Block 6 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
65	blk.6.ffn_up.weight	Block 6 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.6: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.6: 7.4813 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	Q8_0	8.5000
71	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
72	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
73	blk.7.ffn_norm.weight	Block 7 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
74	blk.7.ffn_up.weight	Block 7 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.7: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.7: 7.4813 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	Q6_K	6.5625
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	Q6_K	6.5625
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	Q6_K	6.5625
81	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
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: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
88	blk.9.attn_v.weight	Block 9 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
89	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
90	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
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: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
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	Q6_K	6.5625
99	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
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: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
106	blk.11.attn_v.weight	Block 11 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
107	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
108	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
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: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
115	blk.12.attn_v.weight	Block 12 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
116	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
117	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
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: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
124	blk.13.attn_v.weight	Block 13 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
125	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
126	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
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: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
133	blk.14.attn_v.weight	Block 14 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
134	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
135	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
136	blk.14.ffn_norm.weight	Block 14 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
137	blk.14.ffn_up.weight	Block 14 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.14: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.14: 7.2773 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	Q8_0	8.5000
143	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
144	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
145	blk.15.ffn_norm.weight	Block 15 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
146	blk.15.ffn_up.weight	Block 15 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.15: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.15: 7.4813 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	Q8_0	8.5000
152	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
153	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
154	blk.16.ffn_norm.weight	Block 16 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
155	blk.16.ffn_up.weight	Block 16 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.16: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.16: 7.4813 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	Q6_K	6.5625
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	Q6_K	6.5625
160	blk.17.attn_v.weight	Block 17 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
161	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
162	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
163	blk.17.ffn_norm.weight	Block 17 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
164	blk.17.ffn_up.weight	Block 17 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.17: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.17: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
169	blk.18.attn_v.weight	Block 18 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
170	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
171	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
172	blk.18.ffn_norm.weight	Block 18 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
173	blk.18.ffn_up.weight	Block 18 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.18: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.18: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
178	blk.19.attn_v.weight	Block 19 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
179	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
180	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
181	blk.19.ffn_norm.weight	Block 19 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
182	blk.19.ffn_up.weight	Block 19 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.19: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.19: 7.2773 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	Q6_K	6.5625
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	Q8_0	8.5000
188	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
189	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
190	blk.20.ffn_norm.weight	Block 20 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
191	blk.20.ffn_up.weight	Block 20 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.20: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.20: 7.4405 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	Q6_K	6.5625
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	Q6_K	6.5625
196	blk.21.attn_v.weight	Block 21 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
197	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
198	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
199	blk.21.ffn_norm.weight	Block 21 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
200	blk.21.ffn_up.weight	Block 21 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.21: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.21: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
205	blk.22.attn_v.weight	Block 22 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
206	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
207	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
208	blk.22.ffn_norm.weight	Block 22 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
209	blk.22.ffn_up.weight	Block 22 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.22: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.22: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
216	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
217	blk.23.ffn_norm.weight	Block 23 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
218	blk.23.ffn_up.weight	Block 23 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.23: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.23: 7.4405 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	Q6_K	6.5625
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	Q6_K	6.5625
223	blk.24.attn_v.weight	Block 24 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
224	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
225	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
226	blk.24.ffn_norm.weight	Block 24 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
227	blk.24.ffn_up.weight	Block 24 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.24: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.24: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
232	blk.25.attn_v.weight	Block 25 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
233	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
234	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
235	blk.25.ffn_norm.weight	Block 25 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
236	blk.25.ffn_up.weight	Block 25 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.25: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.25: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
241	blk.26.attn_v.weight	Block 26 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
242	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
243	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
244	blk.26.ffn_norm.weight	Block 26 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
245	blk.26.ffn_up.weight	Block 26 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.26: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.26: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
252	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
253	blk.27.ffn_norm.weight	Block 27 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
254	blk.27.ffn_up.weight	Block 27 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.27: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.27: 7.4405 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	Q8_0	8.5000
260	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
261	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
262	blk.28.ffn_norm.weight	Block 28 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
263	blk.28.ffn_up.weight	Block 28 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.28: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.28: 7.4813 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	Q6_K	6.5625
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	Q6_K	6.5625
268	blk.29.attn_v.weight	Block 29 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
269	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
270	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
271	blk.29.ffn_norm.weight	Block 29 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
272	blk.29.ffn_up.weight	Block 29 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.29: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.29: 7.2773 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	Q8_0	8.5000
278	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
279	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
280	blk.30.ffn_norm.weight	Block 30 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
281	blk.30.ffn_up.weight	Block 30 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.30: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.30: 7.4813 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	Q6_K	6.5625
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	Q6_K	6.5625
286	blk.31.attn_v.weight	Block 31 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q8_0	8.5000
287	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q6_K	6.5625
288	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	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: 7.7872 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	Q6_K	6.5625
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	Q6_K	6.5625
297	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
298	blk.32.ffn_norm.weight	Block 32 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
299	blk.32.ffn_up.weight	Block 32 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.32: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.32: 7.4405 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	Q6_K	6.5625
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	Q6_K	6.5625
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	Q6_K	6.5625
306	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
307	blk.33.ffn_norm.weight	Block 33 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
308	blk.33.ffn_up.weight	Block 33 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.33: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.33: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
315	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
316	blk.34.ffn_norm.weight	Block 34 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
317	blk.34.ffn_up.weight	Block 34 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.34: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.34: 7.4405 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	Q6_K	6.5625
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	Q6_K	6.5625
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	Q6_K	6.5625
324	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
325	blk.35.ffn_norm.weight	Block 35 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
326	blk.35.ffn_up.weight	Block 35 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.35: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.35: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
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	Q6_K	6.5625
333	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q6_K	6.5625
334	blk.36.ffn_norm.weight	Block 36 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
335	blk.36.ffn_up.weight	Block 36 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	Q8_0	8.5000

• Total elements in blk.36: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.36: 7.2773 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	Q6_K	6.5625
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	Q6_K	6.5625
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	Q6_K	6.5625
342	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	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: 7.7872 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	Q6_K	6.5625
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	Q6_K	6.5625
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	Q6_K	6.5625
351	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	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: 7.7872 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	Q6_K	6.5625
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	Q6_K	6.5625
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	Q6_K	6.5625
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: 7.7872 bits

Total BPW for granite-4.1-8b-Q7_K.gguf: 7.4998 bits