granite-4.1-8b-GGUF/scores/granite-4.1-8b-Q3_K.md

granite-4.1-8b-WIP/granite-4.1-8b-Q3_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	30
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-Q3_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	0xdc80000
1	output_norm.weight	0xdfe7400	0x4000
2	token_embd.weight	0xdfeb400	0xa870000
3	blk.0.attn_k.weight	0x1885b400	0x128000
4	blk.0.attn_norm.weight	0x18983400	0x4000
5	blk.0.attn_output.weight	0x18987400	0x620000
6	blk.0.attn_q.weight	0x18fa7400	0x4a0000
7	blk.0.attn_v.weight	0x19447400	0x188000
8	blk.0.ffn_down.weight	0x195cf400	0x1068000
9	blk.0.ffn_gate.weight	0x1a637400	0xce4000
10	blk.0.ffn_norm.weight	0x1b31b400	0x4000
11	blk.0.ffn_up.weight	0x1b31f400	0x1324000
12	blk.1.attn_k.weight	0x1c643400	0x188000
13	blk.1.attn_norm.weight	0x1c7cb400	0x4000
14	blk.1.attn_output.weight	0x1c7cf400	0x880000
15	blk.1.attn_q.weight	0x1d04f400	0x6e0000
16	blk.1.attn_v.weight	0x1d72f400	0x240000
17	blk.1.ffn_down.weight	0x1d96f400	0x157c000
18	blk.1.ffn_gate.weight	0x1eeeb400	0x1324000
19	blk.1.ffn_norm.weight	0x2020f400	0x4000
20	blk.1.ffn_up.weight	0x20213400	0x1a90000
21	blk.2.attn_k.weight	0x21ca3400	0x1b8000
22	blk.2.attn_norm.weight	0x21e5b400	0x4000
23	blk.2.attn_output.weight	0x21e5f400	0x880000
24	blk.2.attn_q.weight	0x226df400	0x6e0000
25	blk.2.attn_v.weight	0x22dbf400	0x220000
26	blk.2.ffn_down.weight	0x22fdf400	0x157c000
27	blk.2.ffn_gate.weight	0x2455b400	0x1324000
28	blk.2.ffn_norm.weight	0x2587f400	0x4000
29	blk.2.ffn_up.weight	0x25883400	0x1a90000
30	blk.3.attn_k.weight	0x27313400	0x188000
31	blk.3.attn_norm.weight	0x2749b400	0x4000
32	blk.3.attn_output.weight	0x2749f400	0x880000
33	blk.3.attn_q.weight	0x27d1f400	0x6e0000
34	blk.3.attn_v.weight	0x283ff400	0x240000
35	blk.3.ffn_down.weight	0x2863f400	0x1324000
36	blk.3.ffn_gate.weight	0x29963400	0x157c000
37	blk.3.ffn_norm.weight	0x2aedf400	0x4000
38	blk.3.ffn_up.weight	0x2aee3400	0x157c000
39	blk.4.attn_k.weight	0x2c45f400	0x1b8000
40	blk.4.attn_norm.weight	0x2c617400	0x4000
41	blk.4.attn_output.weight	0x2c61b400	0x880000
42	blk.4.attn_q.weight	0x2ce9b400	0x6e0000
43	blk.4.attn_v.weight	0x2d57b400	0x240000
44	blk.4.ffn_down.weight	0x2d7bb400	0x157c000
45	blk.4.ffn_gate.weight	0x2ed37400	0x157c000
46	blk.4.ffn_norm.weight	0x302b3400	0x4000
47	blk.4.ffn_up.weight	0x302b7400	0x157c000
48	blk.5.attn_k.weight	0x31833400	0x1b8000
49	blk.5.attn_norm.weight	0x319eb400	0x4000
50	blk.5.attn_output.weight	0x319ef400	0x880000
51	blk.5.attn_q.weight	0x3226f400	0x6e0000
52	blk.5.attn_v.weight	0x3294f400	0x240000
53	blk.5.ffn_down.weight	0x32b8f400	0x1324000
54	blk.5.ffn_gate.weight	0x33eb3400	0x157c000
55	blk.5.ffn_norm.weight	0x3542f400	0x4000
56	blk.5.ffn_up.weight	0x35433400	0x157c000
57	blk.6.attn_k.weight	0x369af400	0x1b8000
58	blk.6.attn_norm.weight	0x36b67400	0x4000
59	blk.6.attn_output.weight	0x36b6b400	0x880000
60	blk.6.attn_q.weight	0x373eb400	0x6e0000
61	blk.6.attn_v.weight	0x37acb400	0x240000
62	blk.6.ffn_down.weight	0x37d0b400	0x157c000
63	blk.6.ffn_gate.weight	0x39287400	0x1324000
64	blk.6.ffn_norm.weight	0x3a5ab400	0x4000
65	blk.6.ffn_up.weight	0x3a5af400	0x157c000
66	blk.7.attn_k.weight	0x3bb2b400	0x1b8000
67	blk.7.attn_norm.weight	0x3bce3400	0x4000
68	blk.7.attn_output.weight	0x3bce7400	0x880000
69	blk.7.attn_q.weight	0x3c567400	0x6e0000
70	blk.7.attn_v.weight	0x3cc47400	0x240000
71	blk.7.ffn_down.weight	0x3ce87400	0x157c000
72	blk.7.ffn_gate.weight	0x3e403400	0x1324000
73	blk.7.ffn_norm.weight	0x3f727400	0x4000
74	blk.7.ffn_up.weight	0x3f72b400	0x157c000
75	blk.8.attn_k.weight	0x40ca7400	0x1b8000
76	blk.8.attn_norm.weight	0x40e5f400	0x4000
77	blk.8.attn_output.weight	0x40e63400	0x880000
78	blk.8.attn_q.weight	0x416e3400	0x6e0000
79	blk.8.attn_v.weight	0x41dc3400	0x240000
80	blk.8.ffn_down.weight	0x42003400	0x157c000
81	blk.8.ffn_gate.weight	0x4357f400	0x1324000
82	blk.8.ffn_norm.weight	0x448a3400	0x4000
83	blk.8.ffn_up.weight	0x448a7400	0x157c000
84	blk.9.attn_k.weight	0x45e23400	0x1b8000
85	blk.9.attn_norm.weight	0x45fdb400	0x4000
86	blk.9.attn_output.weight	0x45fdf400	0x880000
87	blk.9.attn_q.weight	0x4685f400	0x6e0000
88	blk.9.attn_v.weight	0x46f3f400	0x240000
89	blk.9.ffn_down.weight	0x4717f400	0x157c000
90	blk.9.ffn_gate.weight	0x486fb400	0x1324000
91	blk.9.ffn_norm.weight	0x49a1f400	0x4000
92	blk.9.ffn_up.weight	0x49a23400	0x157c000
93	blk.10.attn_k.weight	0x4af9f400	0x1b8000
94	blk.10.attn_norm.weight	0x4b157400	0x4000
95	blk.10.attn_output.weight	0x4b15b400	0x880000
96	blk.10.attn_q.weight	0x4b9db400	0x6e0000
97	blk.10.attn_v.weight	0x4c0bb400	0x240000
98	blk.10.ffn_down.weight	0x4c2fb400	0x157c000
99	blk.10.ffn_gate.weight	0x4d877400	0x1324000
100	blk.10.ffn_norm.weight	0x4eb9b400	0x4000
101	blk.10.ffn_up.weight	0x4eb9f400	0x157c000
102	blk.11.attn_k.weight	0x5011b400	0x1b8000
103	blk.11.attn_norm.weight	0x502d3400	0x4000
104	blk.11.attn_output.weight	0x502d7400	0x880000
105	blk.11.attn_q.weight	0x50b57400	0x6e0000
106	blk.11.attn_v.weight	0x51237400	0x220000
107	blk.11.ffn_down.weight	0x51457400	0x157c000
108	blk.11.ffn_gate.weight	0x529d3400	0x1324000
109	blk.11.ffn_norm.weight	0x53cf7400	0x4000
110	blk.11.ffn_up.weight	0x53cfb400	0x157c000
111	blk.12.attn_k.weight	0x55277400	0x1b8000
112	blk.12.attn_norm.weight	0x5542f400	0x4000
113	blk.12.attn_output.weight	0x55433400	0x880000
114	blk.12.attn_q.weight	0x55cb3400	0x6e0000
115	blk.12.attn_v.weight	0x56393400	0x240000
116	blk.12.ffn_down.weight	0x565d3400	0x157c000
117	blk.12.ffn_gate.weight	0x57b4f400	0x1324000
118	blk.12.ffn_norm.weight	0x58e73400	0x4000
119	blk.12.ffn_up.weight	0x58e77400	0x157c000
120	blk.13.attn_k.weight	0x5a3f3400	0x1b8000
121	blk.13.attn_norm.weight	0x5a5ab400	0x4000
122	blk.13.attn_output.weight	0x5a5af400	0x880000
123	blk.13.attn_q.weight	0x5ae2f400	0x6e0000
124	blk.13.attn_v.weight	0x5b50f400	0x240000
125	blk.13.ffn_down.weight	0x5b74f400	0x157c000
126	blk.13.ffn_gate.weight	0x5cccb400	0x1324000
127	blk.13.ffn_norm.weight	0x5dfef400	0x4000
128	blk.13.ffn_up.weight	0x5dff3400	0x157c000
129	blk.14.attn_k.weight	0x5f56f400	0x1b8000
130	blk.14.attn_norm.weight	0x5f727400	0x4000
131	blk.14.attn_output.weight	0x5f72b400	0x880000
132	blk.14.attn_q.weight	0x5ffab400	0x6e0000
133	blk.14.attn_v.weight	0x6068b400	0x240000
134	blk.14.ffn_down.weight	0x608cb400	0x157c000
135	blk.14.ffn_gate.weight	0x61e47400	0x1324000
136	blk.14.ffn_norm.weight	0x6316b400	0x4000
137	blk.14.ffn_up.weight	0x6316f400	0x157c000
138	blk.15.attn_k.weight	0x646eb400	0x1b8000
139	blk.15.attn_norm.weight	0x648a3400	0x4000
140	blk.15.attn_output.weight	0x648a7400	0x880000
141	blk.15.attn_q.weight	0x65127400	0x6e0000
142	blk.15.attn_v.weight	0x65807400	0x240000
143	blk.15.ffn_down.weight	0x65a47400	0x157c000
144	blk.15.ffn_gate.weight	0x66fc3400	0x157c000
145	blk.15.ffn_norm.weight	0x6853f400	0x4000
146	blk.15.ffn_up.weight	0x68543400	0x157c000
147	blk.16.attn_k.weight	0x69abf400	0x1b8000
148	blk.16.attn_norm.weight	0x69c77400	0x4000
149	blk.16.attn_output.weight	0x69c7b400	0x880000
150	blk.16.attn_q.weight	0x6a4fb400	0x6e0000
151	blk.16.attn_v.weight	0x6abdb400	0x240000
152	blk.16.ffn_down.weight	0x6ae1b400	0x157c000
153	blk.16.ffn_gate.weight	0x6c397400	0x1324000
154	blk.16.ffn_norm.weight	0x6d6bb400	0x4000
155	blk.16.ffn_up.weight	0x6d6bf400	0x157c000
156	blk.17.attn_k.weight	0x6ec3b400	0x1b8000
157	blk.17.attn_norm.weight	0x6edf3400	0x4000
158	blk.17.attn_output.weight	0x6edf7400	0x880000
159	blk.17.attn_q.weight	0x6f677400	0x6e0000
160	blk.17.attn_v.weight	0x6fd57400	0x240000
161	blk.17.ffn_down.weight	0x6ff97400	0x157c000
162	blk.17.ffn_gate.weight	0x71513400	0x1324000
163	blk.17.ffn_norm.weight	0x72837400	0x4000
164	blk.17.ffn_up.weight	0x7283b400	0x157c000
165	blk.18.attn_k.weight	0x73db7400	0x1b8000
166	blk.18.attn_norm.weight	0x73f6f400	0x4000
167	blk.18.attn_output.weight	0x73f73400	0x880000
168	blk.18.attn_q.weight	0x747f3400	0x6e0000
169	blk.18.attn_v.weight	0x74ed3400	0x240000
170	blk.18.ffn_down.weight	0x75113400	0x157c000
171	blk.18.ffn_gate.weight	0x7668f400	0x1324000
172	blk.18.ffn_norm.weight	0x779b3400	0x4000
173	blk.18.ffn_up.weight	0x779b7400	0x157c000
174	blk.19.attn_k.weight	0x78f33400	0x1b8000
175	blk.19.attn_norm.weight	0x790eb400	0x4000
176	blk.19.attn_output.weight	0x790ef400	0x880000
177	blk.19.attn_q.weight	0x7996f400	0x6e0000
178	blk.19.attn_v.weight	0x7a04f400	0x240000
179	blk.19.ffn_down.weight	0x7a28f400	0x157c000
180	blk.19.ffn_gate.weight	0x7b80b400	0x1324000
181	blk.19.ffn_norm.weight	0x7cb2f400	0x4000
182	blk.19.ffn_up.weight	0x7cb33400	0x157c000
183	blk.20.attn_k.weight	0x7e0af400	0x1b8000
184	blk.20.attn_norm.weight	0x7e267400	0x4000
185	blk.20.attn_output.weight	0x7e26b400	0x880000
186	blk.20.attn_q.weight	0x7eaeb400	0x6e0000
187	blk.20.attn_v.weight	0x7f1cb400	0x240000
188	blk.20.ffn_down.weight	0x7f40b400	0x157c000
189	blk.20.ffn_gate.weight	0x80987400	0x1324000
190	blk.20.ffn_norm.weight	0x81cab400	0x4000
191	blk.20.ffn_up.weight	0x81caf400	0x157c000
192	blk.21.attn_k.weight	0x8322b400	0x1b8000
193	blk.21.attn_norm.weight	0x833e3400	0x4000
194	blk.21.attn_output.weight	0x833e7400	0x880000
195	blk.21.attn_q.weight	0x83c67400	0x6e0000
196	blk.21.attn_v.weight	0x84347400	0x240000
197	blk.21.ffn_down.weight	0x84587400	0x157c000
198	blk.21.ffn_gate.weight	0x85b03400	0x1324000
199	blk.21.ffn_norm.weight	0x86e27400	0x4000
200	blk.21.ffn_up.weight	0x86e2b400	0x157c000
201	blk.22.attn_k.weight	0x883a7400	0x1b8000
202	blk.22.attn_norm.weight	0x8855f400	0x4000
203	blk.22.attn_output.weight	0x88563400	0x880000
204	blk.22.attn_q.weight	0x88de3400	0x6e0000
205	blk.22.attn_v.weight	0x894c3400	0x240000
206	blk.22.ffn_down.weight	0x89703400	0x157c000
207	blk.22.ffn_gate.weight	0x8ac7f400	0x1324000
208	blk.22.ffn_norm.weight	0x8bfa3400	0x4000
209	blk.22.ffn_up.weight	0x8bfa7400	0x157c000
210	blk.23.attn_k.weight	0x8d523400	0x1b8000
211	blk.23.attn_norm.weight	0x8d6db400	0x4000
212	blk.23.attn_output.weight	0x8d6df400	0x880000
213	blk.23.attn_q.weight	0x8df5f400	0x6e0000
214	blk.23.attn_v.weight	0x8e63f400	0x240000
215	blk.23.ffn_down.weight	0x8e87f400	0x157c000
216	blk.23.ffn_gate.weight	0x8fdfb400	0x1324000
217	blk.23.ffn_norm.weight	0x9111f400	0x4000
218	blk.23.ffn_up.weight	0x91123400	0x157c000
219	blk.24.attn_k.weight	0x9269f400	0x1b8000
220	blk.24.attn_norm.weight	0x92857400	0x4000
221	blk.24.attn_output.weight	0x9285b400	0x880000
222	blk.24.attn_q.weight	0x930db400	0x6e0000
223	blk.24.attn_v.weight	0x937bb400	0x240000
224	blk.24.ffn_down.weight	0x939fb400	0x157c000
225	blk.24.ffn_gate.weight	0x94f77400	0x1324000
226	blk.24.ffn_norm.weight	0x9629b400	0x4000
227	blk.24.ffn_up.weight	0x9629f400	0x157c000
228	blk.25.attn_k.weight	0x9781b400	0x1b8000
229	blk.25.attn_norm.weight	0x979d3400	0x4000
230	blk.25.attn_output.weight	0x979d7400	0x880000
231	blk.25.attn_q.weight	0x98257400	0x6e0000
232	blk.25.attn_v.weight	0x98937400	0x240000
233	blk.25.ffn_down.weight	0x98b77400	0x157c000
234	blk.25.ffn_gate.weight	0x9a0f3400	0x1324000
235	blk.25.ffn_norm.weight	0x9b417400	0x4000
236	blk.25.ffn_up.weight	0x9b41b400	0x157c000
237	blk.26.attn_k.weight	0x9c997400	0x1b8000
238	blk.26.attn_norm.weight	0x9cb4f400	0x4000
239	blk.26.attn_output.weight	0x9cb53400	0x880000
240	blk.26.attn_q.weight	0x9d3d3400	0x6e0000
241	blk.26.attn_v.weight	0x9dab3400	0x240000
242	blk.26.ffn_down.weight	0x9dcf3400	0x157c000
243	blk.26.ffn_gate.weight	0x9f26f400	0x1324000
244	blk.26.ffn_norm.weight	0xa0593400	0x4000
245	blk.26.ffn_up.weight	0xa0597400	0x157c000
246	blk.27.attn_k.weight	0xa1b13400	0x1b8000
247	blk.27.attn_norm.weight	0xa1ccb400	0x4000
248	blk.27.attn_output.weight	0xa1ccf400	0x880000
249	blk.27.attn_q.weight	0xa254f400	0x6e0000
250	blk.27.attn_v.weight	0xa2c2f400	0x240000
251	blk.27.ffn_down.weight	0xa2e6f400	0x157c000
252	blk.27.ffn_gate.weight	0xa43eb400	0x157c000
253	blk.27.ffn_norm.weight	0xa5967400	0x4000
254	blk.27.ffn_up.weight	0xa596b400	0x157c000
255	blk.28.attn_k.weight	0xa6ee7400	0x1b8000
256	blk.28.attn_norm.weight	0xa709f400	0x4000
257	blk.28.attn_output.weight	0xa70a3400	0x880000
258	blk.28.attn_q.weight	0xa7923400	0x6e0000
259	blk.28.attn_v.weight	0xa8003400	0x240000
260	blk.28.ffn_down.weight	0xa8243400	0x157c000
261	blk.28.ffn_gate.weight	0xa97bf400	0x157c000
262	blk.28.ffn_norm.weight	0xaad3b400	0x4000
263	blk.28.ffn_up.weight	0xaad3f400	0x157c000
264	blk.29.attn_k.weight	0xac2bb400	0x1b8000
265	blk.29.attn_norm.weight	0xac473400	0x4000
266	blk.29.attn_output.weight	0xac477400	0x880000
267	blk.29.attn_q.weight	0xaccf7400	0x6e0000
268	blk.29.attn_v.weight	0xad3d7400	0x240000
269	blk.29.ffn_down.weight	0xad617400	0x157c000
270	blk.29.ffn_gate.weight	0xaeb93400	0x157c000
271	blk.29.ffn_norm.weight	0xb010f400	0x4000
272	blk.29.ffn_up.weight	0xb0113400	0x157c000
273	blk.30.attn_k.weight	0xb168f400	0x1b8000
274	blk.30.attn_norm.weight	0xb1847400	0x4000
275	blk.30.attn_output.weight	0xb184b400	0x880000
276	blk.30.attn_q.weight	0xb20cb400	0x6e0000
277	blk.30.attn_v.weight	0xb27ab400	0x240000
278	blk.30.ffn_down.weight	0xb29eb400	0x157c000
279	blk.30.ffn_gate.weight	0xb3f67400	0x157c000
280	blk.30.ffn_norm.weight	0xb54e3400	0x4000
281	blk.30.ffn_up.weight	0xb54e7400	0x157c000
282	blk.31.attn_k.weight	0xb6a63400	0x1b8000
283	blk.31.attn_norm.weight	0xb6c1b400	0x4000
284	blk.31.attn_output.weight	0xb6c1f400	0x880000
285	blk.31.attn_q.weight	0xb749f400	0x6e0000
286	blk.31.attn_v.weight	0xb7b7f400	0x240000
287	blk.31.ffn_down.weight	0xb7dbf400	0x157c000
288	blk.31.ffn_gate.weight	0xb933b400	0x157c000
289	blk.31.ffn_norm.weight	0xba8b7400	0x4000
290	blk.31.ffn_up.weight	0xba8bb400	0x157c000
291	blk.32.attn_k.weight	0xbbe37400	0x1b8000
292	blk.32.attn_norm.weight	0xbbfef400	0x4000
293	blk.32.attn_output.weight	0xbbff3400	0x880000
294	blk.32.attn_q.weight	0xbc873400	0x6e0000
295	blk.32.attn_v.weight	0xbcf53400	0x240000
296	blk.32.ffn_down.weight	0xbd193400	0x157c000
297	blk.32.ffn_gate.weight	0xbe70f400	0x157c000
298	blk.32.ffn_norm.weight	0xbfc8b400	0x4000
299	blk.32.ffn_up.weight	0xbfc8f400	0x157c000
300	blk.33.attn_k.weight	0xc120b400	0x1b8000
301	blk.33.attn_norm.weight	0xc13c3400	0x4000
302	blk.33.attn_output.weight	0xc13c7400	0x880000
303	blk.33.attn_q.weight	0xc1c47400	0x6e0000
304	blk.33.attn_v.weight	0xc2327400	0x240000
305	blk.33.ffn_down.weight	0xc2567400	0x157c000
306	blk.33.ffn_gate.weight	0xc3ae3400	0x157c000
307	blk.33.ffn_norm.weight	0xc505f400	0x4000
308	blk.33.ffn_up.weight	0xc5063400	0x157c000
309	blk.34.attn_k.weight	0xc65df400	0x1b8000
310	blk.34.attn_norm.weight	0xc6797400	0x4000
311	blk.34.attn_output.weight	0xc679b400	0x880000
312	blk.34.attn_q.weight	0xc701b400	0x6e0000
313	blk.34.attn_v.weight	0xc76fb400	0x240000
314	blk.34.ffn_down.weight	0xc793b400	0x157c000
315	blk.34.ffn_gate.weight	0xc8eb7400	0x1324000
316	blk.34.ffn_norm.weight	0xca1db400	0x4000
317	blk.34.ffn_up.weight	0xca1df400	0x157c000
318	blk.35.attn_k.weight	0xcb75b400	0x1b8000
319	blk.35.attn_norm.weight	0xcb913400	0x4000
320	blk.35.attn_output.weight	0xcb917400	0x880000
321	blk.35.attn_q.weight	0xcc197400	0x6e0000
322	blk.35.attn_v.weight	0xcc877400	0x220000
323	blk.35.ffn_down.weight	0xcca97400	0x157c000
324	blk.35.ffn_gate.weight	0xce013400	0x157c000
325	blk.35.ffn_norm.weight	0xcf58f400	0x4000
326	blk.35.ffn_up.weight	0xcf593400	0x157c000
327	blk.36.attn_k.weight	0xd0b0f400	0x1b8000
328	blk.36.attn_norm.weight	0xd0cc7400	0x4000
329	blk.36.attn_output.weight	0xd0ccb400	0x880000
330	blk.36.attn_q.weight	0xd154b400	0x6e0000
331	blk.36.attn_v.weight	0xd1c2b400	0x220000
332	blk.36.ffn_down.weight	0xd1e4b400	0x157c000
333	blk.36.ffn_gate.weight	0xd33c7400	0x157c000
334	blk.36.ffn_norm.weight	0xd4943400	0x4000
335	blk.36.ffn_up.weight	0xd4947400	0x157c000
336	blk.37.attn_k.weight	0xd5ec3400	0x1b8000
337	blk.37.attn_norm.weight	0xd607b400	0x4000
338	blk.37.attn_output.weight	0xd607f400	0x880000
339	blk.37.attn_q.weight	0xd68ff400	0x6e0000
340	blk.37.attn_v.weight	0xd6fdf400	0x220000
341	blk.37.ffn_down.weight	0xd71ff400	0x157c000
342	blk.37.ffn_gate.weight	0xd877b400	0x157c000
343	blk.37.ffn_norm.weight	0xd9cf7400	0x4000
344	blk.37.ffn_up.weight	0xd9cfb400	0x157c000
345	blk.38.attn_k.weight	0xdb277400	0x1b8000
346	blk.38.attn_norm.weight	0xdb42f400	0x4000
347	blk.38.attn_output.weight	0xdb433400	0x880000
348	blk.38.attn_q.weight	0xdbcb3400	0x6e0000
349	blk.38.attn_v.weight	0xdc393400	0x220000
350	blk.38.ffn_down.weight	0xdc5b3400	0x157c000
351	blk.38.ffn_gate.weight	0xddb2f400	0x157c000
352	blk.38.ffn_norm.weight	0xdf0ab400	0x4000
353	blk.38.ffn_up.weight	0xdf0af400	0x157c000
354	blk.39.attn_k.weight	0xe062b400	0x1b8000
355	blk.39.attn_norm.weight	0xe07e3400	0x4000
356	blk.39.attn_output.weight	0xe07e7400	0x880000
357	blk.39.attn_q.weight	0xe1067400	0x6e0000
358	blk.39.attn_v.weight	0xe1747400	0x220000
359	blk.39.ffn_down.weight	0xe1967400	0x1324000
360	blk.39.ffn_gate.weight	0xe2c8b400	0x157c000
361	blk.39.ffn_norm.weight	0xe4207400	0x4000
362	blk.39.ffn_up.weight	0xe420b400	0x157c000

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	Q4_K	4.5000
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	Q3_K	3.4375

• Total elements in base: (~822M) 822087680
• Percentage of total elements: 9.35%
• Bits per Weight (BPW) for base: 3.9689 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	IQ2_XS	2.3125
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	IQ3_XXS	3.0625
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_XS	2.3125
7	blk.0.attn_v.weight	Block 0 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ3_XXS	3.0625
8	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q2_K	2.6250
9	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
10	blk.0.ffn_norm.weight	Block 0 Feed-Forward Network Normalization (W)	( ~4K) 4096	4096 x 1 x 1 x 1	F32	32.0000
11	blk.0.ffn_up.weight	Block 0 Feed-Forward Network "Up" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625

• Total elements in blk.0: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.0: 2.6065 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	IQ3_XXS	3.0625
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	IQ4_XS	4.2500
15	blk.1.attn_q.weight	Block 1 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
16	blk.1.attn_v.weight	Block 1 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
17	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
18	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ4_XS	4.2500

• Total elements in blk.1: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.1: 3.6367 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
24	blk.2.attn_q.weight	Block 2 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
25	blk.2.attn_v.weight	Block 2 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ4_XS	4.2500
26	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
27	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ4_XS	4.2500

• Total elements in blk.2: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.2: 3.6393 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	IQ3_XXS	3.0625
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	IQ4_XS	4.2500
33	blk.3.attn_q.weight	Block 3 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
34	blk.3.attn_v.weight	Block 3 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
35	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_XXS	3.0625
36	blk.3.ffn_gate.weight	Block 3 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.3: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.3: 3.4229 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
42	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
43	blk.4.attn_v.weight	Block 4 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
44	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
45	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.4: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.4: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
51	blk.5.attn_q.weight	Block 5 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
52	blk.5.attn_v.weight	Block 5 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
53	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_XXS	3.0625
54	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.5: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.5: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
60	blk.6.attn_q.weight	Block 6 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
61	blk.6.attn_v.weight	Block 6 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
62	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
63	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.6: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.6: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
69	blk.7.attn_q.weight	Block 7 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
70	blk.7.attn_v.weight	Block 7 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
71	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
72	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.7: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.7: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
78	blk.8.attn_q.weight	Block 8 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
79	blk.8.attn_v.weight	Block 8 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
80	blk.8.ffn_down.weight	Block 8 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
81	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.8: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.8: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
87	blk.9.attn_q.weight	Block 9 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
88	blk.9.attn_v.weight	Block 9 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
89	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
90	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.9: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.9: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
96	blk.10.attn_q.weight	Block 10 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
97	blk.10.attn_v.weight	Block 10 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
98	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
99	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.10: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.10: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
105	blk.11.attn_q.weight	Block 11 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
106	blk.11.attn_v.weight	Block 11 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ4_XS	4.2500
107	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
108	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.11: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.11: 3.4255 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
114	blk.12.attn_q.weight	Block 12 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
115	blk.12.attn_v.weight	Block 12 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
116	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
117	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.12: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.12: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
123	blk.13.attn_q.weight	Block 13 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
124	blk.13.attn_v.weight	Block 13 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
125	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
126	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.13: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.13: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
132	blk.14.attn_q.weight	Block 14 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
133	blk.14.attn_v.weight	Block 14 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
134	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
135	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.14: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.14: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
141	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
142	blk.15.attn_v.weight	Block 15 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
143	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
144	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.15: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.15: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
150	blk.16.attn_q.weight	Block 16 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
151	blk.16.attn_v.weight	Block 16 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
152	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
153	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.16: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.16: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
159	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
160	blk.17.attn_v.weight	Block 17 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
161	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
162	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.17: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.17: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
168	blk.18.attn_q.weight	Block 18 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
169	blk.18.attn_v.weight	Block 18 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
170	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
171	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.18: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.18: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
177	blk.19.attn_q.weight	Block 19 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
178	blk.19.attn_v.weight	Block 19 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
179	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
180	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.19: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.19: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
186	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
187	blk.20.attn_v.weight	Block 20 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
188	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
189	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.20: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.20: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
195	blk.21.attn_q.weight	Block 21 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
196	blk.21.attn_v.weight	Block 21 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
197	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
198	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.21: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.21: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
204	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
205	blk.22.attn_v.weight	Block 22 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
206	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
207	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.22: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.22: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
213	blk.23.attn_q.weight	Block 23 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
214	blk.23.attn_v.weight	Block 23 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
215	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
216	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.23: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.23: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
222	blk.24.attn_q.weight	Block 24 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
223	blk.24.attn_v.weight	Block 24 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
224	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
225	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.24: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.24: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
231	blk.25.attn_q.weight	Block 25 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
232	blk.25.attn_v.weight	Block 25 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
233	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
234	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.25: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.25: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
240	blk.26.attn_q.weight	Block 26 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
241	blk.26.attn_v.weight	Block 26 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
242	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
243	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.26: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.26: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
249	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
250	blk.27.attn_v.weight	Block 27 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
251	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
252	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.27: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.27: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
258	blk.28.attn_q.weight	Block 28 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
259	blk.28.attn_v.weight	Block 28 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
260	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
261	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.28: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.28: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
267	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
268	blk.29.attn_v.weight	Block 29 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
269	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
270	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.29: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.29: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
276	blk.30.attn_q.weight	Block 30 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
277	blk.30.attn_v.weight	Block 30 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
278	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
279	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.30: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.30: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
285	blk.31.attn_q.weight	Block 31 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
286	blk.31.attn_v.weight	Block 31 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
287	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
288	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.31: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.31: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
294	blk.32.attn_q.weight	Block 32 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
295	blk.32.attn_v.weight	Block 32 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
296	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
297	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.32: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.32: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
303	blk.33.attn_q.weight	Block 33 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
304	blk.33.attn_v.weight	Block 33 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
305	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
306	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.33: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.33: 3.5295 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
312	blk.34.attn_q.weight	Block 34 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
313	blk.34.attn_v.weight	Block 34 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q4_K	4.5000
314	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
315	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_XXS	3.0625
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	IQ3_S	3.4375

• Total elements in blk.34: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.34: 3.4308 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
321	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
322	blk.35.attn_v.weight	Block 35 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ4_XS	4.2500
323	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
324	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.35: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.35: 3.5242 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
330	blk.36.attn_q.weight	Block 36 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
331	blk.36.attn_v.weight	Block 36 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ4_XS	4.2500
332	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
333	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.36: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.36: 3.5242 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
339	blk.37.attn_q.weight	Block 37 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
340	blk.37.attn_v.weight	Block 37 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ4_XS	4.2500
341	blk.37.ffn_down.weight	Block 37 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
342	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.37: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.37: 3.5242 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
348	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
349	blk.38.attn_v.weight	Block 38 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ4_XS	4.2500
350	blk.38.ffn_down.weight	Block 38 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_S	3.4375
351	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.38: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.38: 3.5242 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	IQ3_S	3.4375
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	IQ4_XS	4.2500
357	blk.39.attn_q.weight	Block 39 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ3_S	3.4375
358	blk.39.attn_v.weight	Block 39 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ4_XS	4.2500
359	blk.39.ffn_down.weight	Block 39 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ3_XXS	3.0625
360	blk.39.ffn_gate.weight	Block 39 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ3_S	3.4375
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	IQ3_S	3.4375

• Total elements in blk.39: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.39: 3.4255 bits

Total BPW for granite-4.1-8b-Q3_K.gguf: 3.5000 bits