granite-4.1-8b-GGUF/scores/granite-4.1-8b-Q2_K.md

granite-4.1-8b-WIP/granite-4.1-8b-Q2_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	28
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-Q2_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	0xa870000
1	output_norm.weight	0xabd7400	0x4000
2	token_embd.weight	0xabdb400	0x80a0000
3	blk.0.attn_k.weight	0x12c7b400	0xe0000
4	blk.0.attn_norm.weight	0x12d5b400	0x4000
5	blk.0.attn_output.weight	0x12d5f400	0x540000
6	blk.0.attn_q.weight	0x1329f400	0x380000
7	blk.0.attn_v.weight	0x1361f400	0xe0000
8	blk.0.ffn_down.weight	0x136ff400	0xaf0000
9	blk.0.ffn_gate.weight	0x141ef400	0x9c4000
10	blk.0.ffn_norm.weight	0x14bb3400	0x4000
11	blk.0.ffn_up.weight	0x14bb7400	0xe74000
12	blk.1.attn_k.weight	0x15a2b400	0x128000
13	blk.1.attn_norm.weight	0x15b53400	0x4000
14	blk.1.attn_output.weight	0x15b57400	0x6e0000
15	blk.1.attn_q.weight	0x16237400	0x4a0000
16	blk.1.attn_v.weight	0x166d7400	0x188000
17	blk.1.ffn_down.weight	0x1685f400	0x1004000
18	blk.1.ffn_gate.weight	0x17863400	0xce4000
19	blk.1.ffn_norm.weight	0x18547400	0x4000
20	blk.1.ffn_up.weight	0x1854b400	0x1004000
21	blk.2.attn_k.weight	0x1954f400	0x128000
22	blk.2.attn_norm.weight	0x19677400	0x4000
23	blk.2.attn_output.weight	0x1967b400	0x6e0000
24	blk.2.attn_q.weight	0x19d5b400	0x520000
25	blk.2.attn_v.weight	0x1a27b400	0x188000
26	blk.2.ffn_down.weight	0x1a403400	0x1004000
27	blk.2.ffn_gate.weight	0x1b407400	0xce4000
28	blk.2.ffn_norm.weight	0x1c0eb400	0x4000
29	blk.2.ffn_up.weight	0x1c0ef400	0x1004000
30	blk.3.attn_k.weight	0x1d0f3400	0x108000
31	blk.3.attn_norm.weight	0x1d1fb400	0x4000
32	blk.3.attn_output.weight	0x1d1ff400	0x6e0000
33	blk.3.attn_q.weight	0x1d8df400	0x4a0000
34	blk.3.attn_v.weight	0x1dd7f400	0x188000
35	blk.3.ffn_down.weight	0x1df07400	0xce4000
36	blk.3.ffn_gate.weight	0x1ebeb400	0xce4000
37	blk.3.ffn_norm.weight	0x1f8cf400	0x4000
38	blk.3.ffn_up.weight	0x1f8d3400	0xe74000
39	blk.4.attn_k.weight	0x20747400	0x128000
40	blk.4.attn_norm.weight	0x2086f400	0x4000
41	blk.4.attn_output.weight	0x20873400	0x6e0000
42	blk.4.attn_q.weight	0x20f53400	0x520000
43	blk.4.attn_v.weight	0x21473400	0x188000
44	blk.4.ffn_down.weight	0x215fb400	0x1004000
45	blk.4.ffn_gate.weight	0x225ff400	0xce4000
46	blk.4.ffn_norm.weight	0x232e3400	0x4000
47	blk.4.ffn_up.weight	0x232e7400	0xce4000
48	blk.5.attn_k.weight	0x23fcb400	0x128000
49	blk.5.attn_norm.weight	0x240f3400	0x4000
50	blk.5.attn_output.weight	0x240f7400	0x6e0000
51	blk.5.attn_q.weight	0x247d7400	0x520000
52	blk.5.attn_v.weight	0x24cf7400	0x150000
53	blk.5.ffn_down.weight	0x24e47400	0x1068000
54	blk.5.ffn_gate.weight	0x25eaf400	0xce4000
55	blk.5.ffn_norm.weight	0x26b93400	0x4000
56	blk.5.ffn_up.weight	0x26b97400	0xe74000
57	blk.6.attn_k.weight	0x27a0b400	0x128000
58	blk.6.attn_norm.weight	0x27b33400	0x4000
59	blk.6.attn_output.weight	0x27b37400	0x6e0000
60	blk.6.attn_q.weight	0x28217400	0x4a0000
61	blk.6.attn_v.weight	0x286b7400	0x150000
62	blk.6.ffn_down.weight	0x28807400	0x1004000
63	blk.6.ffn_gate.weight	0x2980b400	0xce4000
64	blk.6.ffn_norm.weight	0x2a4ef400	0x4000
65	blk.6.ffn_up.weight	0x2a4f3400	0xe74000
66	blk.7.attn_k.weight	0x2b367400	0x148000
67	blk.7.attn_norm.weight	0x2b4af400	0x4000
68	blk.7.attn_output.weight	0x2b4b3400	0x6e0000
69	blk.7.attn_q.weight	0x2bb93400	0x520000
70	blk.7.attn_v.weight	0x2c0b3400	0x150000
71	blk.7.ffn_down.weight	0x2c203400	0x1004000
72	blk.7.ffn_gate.weight	0x2d207400	0xce4000
73	blk.7.ffn_norm.weight	0x2deeb400	0x4000
74	blk.7.ffn_up.weight	0x2deef400	0x1004000
75	blk.8.attn_k.weight	0x2eef3400	0x128000
76	blk.8.attn_norm.weight	0x2f01b400	0x4000
77	blk.8.attn_output.weight	0x2f01f400	0x6e0000
78	blk.8.attn_q.weight	0x2f6ff400	0x520000
79	blk.8.attn_v.weight	0x2fc1f400	0x150000
80	blk.8.ffn_down.weight	0x2fd6f400	0x1004000
81	blk.8.ffn_gate.weight	0x30d73400	0xce4000
82	blk.8.ffn_norm.weight	0x31a57400	0x4000
83	blk.8.ffn_up.weight	0x31a5b400	0x1004000
84	blk.9.attn_k.weight	0x32a5f400	0x128000
85	blk.9.attn_norm.weight	0x32b87400	0x4000
86	blk.9.attn_output.weight	0x32b8b400	0x6e0000
87	blk.9.attn_q.weight	0x3326b400	0x520000
88	blk.9.attn_v.weight	0x3378b400	0x150000
89	blk.9.ffn_down.weight	0x338db400	0x1004000
90	blk.9.ffn_gate.weight	0x348df400	0xce4000
91	blk.9.ffn_norm.weight	0x355c3400	0x4000
92	blk.9.ffn_up.weight	0x355c7400	0x1004000
93	blk.10.attn_k.weight	0x365cb400	0x128000
94	blk.10.attn_norm.weight	0x366f3400	0x4000
95	blk.10.attn_output.weight	0x366f7400	0x6e0000
96	blk.10.attn_q.weight	0x36dd7400	0x520000
97	blk.10.attn_v.weight	0x372f7400	0x150000
98	blk.10.ffn_down.weight	0x37447400	0x1004000
99	blk.10.ffn_gate.weight	0x3844b400	0xce4000
100	blk.10.ffn_norm.weight	0x3912f400	0x4000
101	blk.10.ffn_up.weight	0x39133400	0x1004000
102	blk.11.attn_k.weight	0x3a137400	0x128000
103	blk.11.attn_norm.weight	0x3a25f400	0x4000
104	blk.11.attn_output.weight	0x3a263400	0x6e0000
105	blk.11.attn_q.weight	0x3a943400	0x520000
106	blk.11.attn_v.weight	0x3ae63400	0x150000
107	blk.11.ffn_down.weight	0x3afb3400	0x1004000
108	blk.11.ffn_gate.weight	0x3bfb7400	0x9c4000
109	blk.11.ffn_norm.weight	0x3c97b400	0x4000
110	blk.11.ffn_up.weight	0x3c97f400	0x1004000
111	blk.12.attn_k.weight	0x3d983400	0x128000
112	blk.12.attn_norm.weight	0x3daab400	0x4000
113	blk.12.attn_output.weight	0x3daaf400	0x6e0000
114	blk.12.attn_q.weight	0x3e18f400	0x520000
115	blk.12.attn_v.weight	0x3e6af400	0x150000
116	blk.12.ffn_down.weight	0x3e7ff400	0x1004000
117	blk.12.ffn_gate.weight	0x3f803400	0xce4000
118	blk.12.ffn_norm.weight	0x404e7400	0x4000
119	blk.12.ffn_up.weight	0x404eb400	0x1004000
120	blk.13.attn_k.weight	0x414ef400	0x128000
121	blk.13.attn_norm.weight	0x41617400	0x4000
122	blk.13.attn_output.weight	0x4161b400	0x6e0000
123	blk.13.attn_q.weight	0x41cfb400	0x520000
124	blk.13.attn_v.weight	0x4221b400	0x150000
125	blk.13.ffn_down.weight	0x4236b400	0x1004000
126	blk.13.ffn_gate.weight	0x4336f400	0xce4000
127	blk.13.ffn_norm.weight	0x44053400	0x4000
128	blk.13.ffn_up.weight	0x44057400	0x1004000
129	blk.14.attn_k.weight	0x4505b400	0x128000
130	blk.14.attn_norm.weight	0x45183400	0x4000
131	blk.14.attn_output.weight	0x45187400	0x6e0000
132	blk.14.attn_q.weight	0x45867400	0x520000
133	blk.14.attn_v.weight	0x45d87400	0x150000
134	blk.14.ffn_down.weight	0x45ed7400	0x1004000
135	blk.14.ffn_gate.weight	0x46edb400	0xce4000
136	blk.14.ffn_norm.weight	0x47bbf400	0x4000
137	blk.14.ffn_up.weight	0x47bc3400	0x1004000
138	blk.15.attn_k.weight	0x48bc7400	0x148000
139	blk.15.attn_norm.weight	0x48d0f400	0x4000
140	blk.15.attn_output.weight	0x48d13400	0x6e0000
141	blk.15.attn_q.weight	0x493f3400	0x520000
142	blk.15.attn_v.weight	0x49913400	0x150000
143	blk.15.ffn_down.weight	0x49a63400	0x1004000
144	blk.15.ffn_gate.weight	0x4aa67400	0xce4000
145	blk.15.ffn_norm.weight	0x4b74b400	0x4000
146	blk.15.ffn_up.weight	0x4b74f400	0x1004000
147	blk.16.attn_k.weight	0x4c753400	0x148000
148	blk.16.attn_norm.weight	0x4c89b400	0x4000
149	blk.16.attn_output.weight	0x4c89f400	0x620000
150	blk.16.attn_q.weight	0x4cebf400	0x520000
151	blk.16.attn_v.weight	0x4d3df400	0x150000
152	blk.16.ffn_down.weight	0x4d52f400	0x1004000
153	blk.16.ffn_gate.weight	0x4e533400	0xce4000
154	blk.16.ffn_norm.weight	0x4f217400	0x4000
155	blk.16.ffn_up.weight	0x4f21b400	0x1004000
156	blk.17.attn_k.weight	0x5021f400	0x128000
157	blk.17.attn_norm.weight	0x50347400	0x4000
158	blk.17.attn_output.weight	0x5034b400	0x6e0000
159	blk.17.attn_q.weight	0x50a2b400	0x520000
160	blk.17.attn_v.weight	0x50f4b400	0x150000
161	blk.17.ffn_down.weight	0x5109b400	0x1004000
162	blk.17.ffn_gate.weight	0x5209f400	0xce4000
163	blk.17.ffn_norm.weight	0x52d83400	0x4000
164	blk.17.ffn_up.weight	0x52d87400	0x1004000
165	blk.18.attn_k.weight	0x53d8b400	0x128000
166	blk.18.attn_norm.weight	0x53eb3400	0x4000
167	blk.18.attn_output.weight	0x53eb7400	0x6e0000
168	blk.18.attn_q.weight	0x54597400	0x520000
169	blk.18.attn_v.weight	0x54ab7400	0x150000
170	blk.18.ffn_down.weight	0x54c07400	0x1004000
171	blk.18.ffn_gate.weight	0x55c0b400	0xce4000
172	blk.18.ffn_norm.weight	0x568ef400	0x4000
173	blk.18.ffn_up.weight	0x568f3400	0x1004000
174	blk.19.attn_k.weight	0x578f7400	0x128000
175	blk.19.attn_norm.weight	0x57a1f400	0x4000
176	blk.19.attn_output.weight	0x57a23400	0x6e0000
177	blk.19.attn_q.weight	0x58103400	0x520000
178	blk.19.attn_v.weight	0x58623400	0x150000
179	blk.19.ffn_down.weight	0x58773400	0x1004000
180	blk.19.ffn_gate.weight	0x59777400	0xce4000
181	blk.19.ffn_norm.weight	0x5a45b400	0x4000
182	blk.19.ffn_up.weight	0x5a45f400	0x1004000
183	blk.20.attn_k.weight	0x5b463400	0x148000
184	blk.20.attn_norm.weight	0x5b5ab400	0x4000
185	blk.20.attn_output.weight	0x5b5af400	0x6e0000
186	blk.20.attn_q.weight	0x5bc8f400	0x520000
187	blk.20.attn_v.weight	0x5c1af400	0x150000
188	blk.20.ffn_down.weight	0x5c2ff400	0x1004000
189	blk.20.ffn_gate.weight	0x5d303400	0xce4000
190	blk.20.ffn_norm.weight	0x5dfe7400	0x4000
191	blk.20.ffn_up.weight	0x5dfeb400	0x1004000
192	blk.21.attn_k.weight	0x5efef400	0x128000
193	blk.21.attn_norm.weight	0x5f117400	0x4000
194	blk.21.attn_output.weight	0x5f11b400	0x6e0000
195	blk.21.attn_q.weight	0x5f7fb400	0x520000
196	blk.21.attn_v.weight	0x5fd1b400	0x150000
197	blk.21.ffn_down.weight	0x5fe6b400	0x1004000
198	blk.21.ffn_gate.weight	0x60e6f400	0xce4000
199	blk.21.ffn_norm.weight	0x61b53400	0x4000
200	blk.21.ffn_up.weight	0x61b57400	0x1004000
201	blk.22.attn_k.weight	0x62b5b400	0x128000
202	blk.22.attn_norm.weight	0x62c83400	0x4000
203	blk.22.attn_output.weight	0x62c87400	0x6e0000
204	blk.22.attn_q.weight	0x63367400	0x520000
205	blk.22.attn_v.weight	0x63887400	0x150000
206	blk.22.ffn_down.weight	0x639d7400	0x1004000
207	blk.22.ffn_gate.weight	0x649db400	0xce4000
208	blk.22.ffn_norm.weight	0x656bf400	0x4000
209	blk.22.ffn_up.weight	0x656c3400	0x1004000
210	blk.23.attn_k.weight	0x666c7400	0x128000
211	blk.23.attn_norm.weight	0x667ef400	0x4000
212	blk.23.attn_output.weight	0x667f3400	0x6e0000
213	blk.23.attn_q.weight	0x66ed3400	0x520000
214	blk.23.attn_v.weight	0x673f3400	0x150000
215	blk.23.ffn_down.weight	0x67543400	0x1004000
216	blk.23.ffn_gate.weight	0x68547400	0xce4000
217	blk.23.ffn_norm.weight	0x6922b400	0x4000
218	blk.23.ffn_up.weight	0x6922f400	0xe74000
219	blk.24.attn_k.weight	0x6a0a3400	0x128000
220	blk.24.attn_norm.weight	0x6a1cb400	0x4000
221	blk.24.attn_output.weight	0x6a1cf400	0x6e0000
222	blk.24.attn_q.weight	0x6a8af400	0x4a0000
223	blk.24.attn_v.weight	0x6ad4f400	0x150000
224	blk.24.ffn_down.weight	0x6ae9f400	0x1004000
225	blk.24.ffn_gate.weight	0x6bea3400	0xce4000
226	blk.24.ffn_norm.weight	0x6cb87400	0x4000
227	blk.24.ffn_up.weight	0x6cb8b400	0xe74000
228	blk.25.attn_k.weight	0x6d9ff400	0x128000
229	blk.25.attn_norm.weight	0x6db27400	0x4000
230	blk.25.attn_output.weight	0x6db2b400	0x6e0000
231	blk.25.attn_q.weight	0x6e20b400	0x520000
232	blk.25.attn_v.weight	0x6e72b400	0x150000
233	blk.25.ffn_down.weight	0x6e87b400	0x1004000
234	blk.25.ffn_gate.weight	0x6f87f400	0xce4000
235	blk.25.ffn_norm.weight	0x70563400	0x4000
236	blk.25.ffn_up.weight	0x70567400	0x1004000
237	blk.26.attn_k.weight	0x7156b400	0x128000
238	blk.26.attn_norm.weight	0x71693400	0x4000
239	blk.26.attn_output.weight	0x71697400	0x6e0000
240	blk.26.attn_q.weight	0x71d77400	0x520000
241	blk.26.attn_v.weight	0x72297400	0x150000
242	blk.26.ffn_down.weight	0x723e7400	0x1004000
243	blk.26.ffn_gate.weight	0x733eb400	0xce4000
244	blk.26.ffn_norm.weight	0x740cf400	0x4000
245	blk.26.ffn_up.weight	0x740d3400	0x1004000
246	blk.27.attn_k.weight	0x750d7400	0x148000
247	blk.27.attn_norm.weight	0x7521f400	0x4000
248	blk.27.attn_output.weight	0x75223400	0x6e0000
249	blk.27.attn_q.weight	0x75903400	0x520000
250	blk.27.attn_v.weight	0x75e23400	0x150000
251	blk.27.ffn_down.weight	0x75f73400	0x1004000
252	blk.27.ffn_gate.weight	0x76f77400	0xce4000
253	blk.27.ffn_norm.weight	0x77c5b400	0x4000
254	blk.27.ffn_up.weight	0x77c5f400	0xe74000
255	blk.28.attn_k.weight	0x78ad3400	0x148000
256	blk.28.attn_norm.weight	0x78c1b400	0x4000
257	blk.28.attn_output.weight	0x78c1f400	0x6e0000
258	blk.28.attn_q.weight	0x792ff400	0x520000
259	blk.28.attn_v.weight	0x7981f400	0x150000
260	blk.28.ffn_down.weight	0x7996f400	0x1004000
261	blk.28.ffn_gate.weight	0x7a973400	0xce4000
262	blk.28.ffn_norm.weight	0x7b657400	0x4000
263	blk.28.ffn_up.weight	0x7b65b400	0x1004000
264	blk.29.attn_k.weight	0x7c65f400	0x128000
265	blk.29.attn_norm.weight	0x7c787400	0x4000
266	blk.29.attn_output.weight	0x7c78b400	0x6e0000
267	blk.29.attn_q.weight	0x7ce6b400	0x520000
268	blk.29.attn_v.weight	0x7d38b400	0x150000
269	blk.29.ffn_down.weight	0x7d4db400	0x1004000
270	blk.29.ffn_gate.weight	0x7e4df400	0xce4000
271	blk.29.ffn_norm.weight	0x7f1c3400	0x4000
272	blk.29.ffn_up.weight	0x7f1c7400	0x1004000
273	blk.30.attn_k.weight	0x801cb400	0x148000
274	blk.30.attn_norm.weight	0x80313400	0x4000
275	blk.30.attn_output.weight	0x80317400	0x6e0000
276	blk.30.attn_q.weight	0x809f7400	0x520000
277	blk.30.attn_v.weight	0x80f17400	0x188000
278	blk.30.ffn_down.weight	0x8109f400	0x1004000
279	blk.30.ffn_gate.weight	0x820a3400	0xce4000
280	blk.30.ffn_norm.weight	0x82d87400	0x4000
281	blk.30.ffn_up.weight	0x82d8b400	0xe74000
282	blk.31.attn_k.weight	0x83bff400	0x128000
283	blk.31.attn_norm.weight	0x83d27400	0x4000
284	blk.31.attn_output.weight	0x83d2b400	0x6e0000
285	blk.31.attn_q.weight	0x8440b400	0x520000
286	blk.31.attn_v.weight	0x8492b400	0x148000
287	blk.31.ffn_down.weight	0x84a73400	0x1004000
288	blk.31.ffn_gate.weight	0x85a77400	0xce4000
289	blk.31.ffn_norm.weight	0x8675b400	0x4000
290	blk.31.ffn_up.weight	0x8675f400	0x1004000
291	blk.32.attn_k.weight	0x87763400	0x128000
292	blk.32.attn_norm.weight	0x8788b400	0x4000
293	blk.32.attn_output.weight	0x8788f400	0x6e0000
294	blk.32.attn_q.weight	0x87f6f400	0x520000
295	blk.32.attn_v.weight	0x8848f400	0x150000
296	blk.32.ffn_down.weight	0x885df400	0x1004000
297	blk.32.ffn_gate.weight	0x895e3400	0xce4000
298	blk.32.ffn_norm.weight	0x8a2c7400	0x4000
299	blk.32.ffn_up.weight	0x8a2cb400	0xe74000
300	blk.33.attn_k.weight	0x8b13f400	0x128000
301	blk.33.attn_norm.weight	0x8b267400	0x4000
302	blk.33.attn_output.weight	0x8b26b400	0x6e0000
303	blk.33.attn_q.weight	0x8b94b400	0x520000
304	blk.33.attn_v.weight	0x8be6b400	0x150000
305	blk.33.ffn_down.weight	0x8bfbb400	0xe74000
306	blk.33.ffn_gate.weight	0x8ce2f400	0xce4000
307	blk.33.ffn_norm.weight	0x8db13400	0x4000
308	blk.33.ffn_up.weight	0x8db17400	0xe74000
309	blk.34.attn_k.weight	0x8e98b400	0x128000
310	blk.34.attn_norm.weight	0x8eab3400	0x4000
311	blk.34.attn_output.weight	0x8eab7400	0x6e0000
312	blk.34.attn_q.weight	0x8f197400	0x520000
313	blk.34.attn_v.weight	0x8f6b7400	0x150000
314	blk.34.ffn_down.weight	0x8f807400	0xe74000
315	blk.34.ffn_gate.weight	0x9067b400	0xce4000
316	blk.34.ffn_norm.weight	0x9135f400	0x4000
317	blk.34.ffn_up.weight	0x91363400	0xce4000
318	blk.35.attn_k.weight	0x92047400	0x128000
319	blk.35.attn_norm.weight	0x9216f400	0x4000
320	blk.35.attn_output.weight	0x92173400	0x6e0000
321	blk.35.attn_q.weight	0x92853400	0x520000
322	blk.35.attn_v.weight	0x92d73400	0x150000
323	blk.35.ffn_down.weight	0x92ec3400	0xe74000
324	blk.35.ffn_gate.weight	0x93d37400	0xce4000
325	blk.35.ffn_norm.weight	0x94a1b400	0x4000
326	blk.35.ffn_up.weight	0x94a1f400	0xe74000
327	blk.36.attn_k.weight	0x95893400	0x128000
328	blk.36.attn_norm.weight	0x959bb400	0x4000
329	blk.36.attn_output.weight	0x959bf400	0x6e0000
330	blk.36.attn_q.weight	0x9609f400	0x4a0000
331	blk.36.attn_v.weight	0x9653f400	0x150000
332	blk.36.ffn_down.weight	0x9668f400	0x1004000
333	blk.36.ffn_gate.weight	0x97693400	0xce4000
334	blk.36.ffn_norm.weight	0x98377400	0x4000
335	blk.36.ffn_up.weight	0x9837b400	0xe74000
336	blk.37.attn_k.weight	0x991ef400	0x128000
337	blk.37.attn_norm.weight	0x99317400	0x4000
338	blk.37.attn_output.weight	0x9931b400	0x6e0000
339	blk.37.attn_q.weight	0x999fb400	0x520000
340	blk.37.attn_v.weight	0x99f1b400	0x150000
341	blk.37.ffn_down.weight	0x9a06b400	0x1004000
342	blk.37.ffn_gate.weight	0x9b06f400	0xce4000
343	blk.37.ffn_norm.weight	0x9bd53400	0x4000
344	blk.37.ffn_up.weight	0x9bd57400	0xe74000
345	blk.38.attn_k.weight	0x9cbcb400	0x128000
346	blk.38.attn_norm.weight	0x9ccf3400	0x4000
347	blk.38.attn_output.weight	0x9ccf7400	0x6e0000
348	blk.38.attn_q.weight	0x9d3d7400	0x520000
349	blk.38.attn_v.weight	0x9d8f7400	0x150000
350	blk.38.ffn_down.weight	0x9da47400	0x1004000
351	blk.38.ffn_gate.weight	0x9ea4b400	0xce4000
352	blk.38.ffn_norm.weight	0x9f72f400	0x4000
353	blk.38.ffn_up.weight	0x9f733400	0xe74000
354	blk.39.attn_k.weight	0xa05a7400	0x128000
355	blk.39.attn_norm.weight	0xa06cf400	0x4000
356	blk.39.attn_output.weight	0xa06d3400	0x6e0000
357	blk.39.attn_q.weight	0xa0db3400	0x520000
358	blk.39.attn_v.weight	0xa12d3400	0x148000
359	blk.39.ffn_down.weight	0xa141b400	0xe74000
360	blk.39.ffn_gate.weight	0xa228f400	0xe74000
361	blk.39.ffn_norm.weight	0xa3103400	0x4000
362	blk.39.ffn_up.weight	0xa3107400	0xe74000

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	Q3_K	3.4375
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	Q2_K	2.6250

• Total elements in base: (~822M) 822087680
• Percentage of total elements: 9.35%
• Bits per Weight (BPW) for base: 3.0314 bits

Block 0 Tensor Group : ~199M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type	BPW
3	blk.0.attn_k.weight	Block 0 Attention Key (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ1_M	1.7500
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	Q2_K	2.6250
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ1_M	1.7500
7	blk.0.attn_v.weight	Block 0 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ1_M	1.7500
8	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ1_M	1.7500
9	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ1_S	1.5625
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	IQ2_XS	2.3125

• Total elements in blk.0: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.0: 1.9236 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
15	blk.1.attn_q.weight	Block 1 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_XS	2.3125
16	blk.1.attn_v.weight	Block 1 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ3_XXS	3.0625
17	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
18	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.1: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.1: 2.4900 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
24	blk.2.attn_q.weight	Block 2 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
25	blk.2.attn_v.weight	Block 2 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ3_XXS	3.0625
26	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
27	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.2: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.2: 2.5111 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	IQ2_XXS	2.0625
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	IQ3_S	3.4375
33	blk.3.attn_q.weight	Block 3 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_XS	2.3125
34	blk.3.attn_v.weight	Block 3 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ3_XXS	3.0625
35	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_XXS	2.0625
36	blk.3.ffn_gate.weight	Block 3 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.3: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.3: 2.2874 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
42	blk.4.attn_q.weight	Block 4 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
43	blk.4.attn_v.weight	Block 4 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ3_XXS	3.0625
44	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
45	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XXS	2.0625

• Total elements in blk.4: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.4: 2.3795 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
51	blk.5.attn_q.weight	Block 5 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
52	blk.5.attn_v.weight	Block 5 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
53	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	Q2_K	2.6250
54	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.5: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.5: 2.4525 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
60	blk.6.attn_q.weight	Block 6 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_XS	2.3125
61	blk.6.attn_v.weight	Block 6 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
62	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
63	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.6: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.6: 2.4150 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	IQ2_S	2.5625
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	IQ3_S	3.4375
69	blk.7.attn_q.weight	Block 7 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
70	blk.7.attn_v.weight	Block 7 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
71	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
72	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.7: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.7: 2.5071 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
78	blk.8.attn_q.weight	Block 8 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
79	blk.8.attn_v.weight	Block 8 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
80	blk.8.ffn_down.weight	Block 8 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
81	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.8: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.8: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
87	blk.9.attn_q.weight	Block 9 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
88	blk.9.attn_v.weight	Block 9 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
89	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
90	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.9: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.9: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
96	blk.10.attn_q.weight	Block 10 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
97	blk.10.attn_v.weight	Block 10 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
98	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
99	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.10: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.10: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
105	blk.11.attn_q.weight	Block 11 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
106	blk.11.attn_v.weight	Block 11 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
107	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
108	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ1_S	1.5625
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	IQ2_S	2.5625

• Total elements in blk.11: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.11: 2.3703 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
114	blk.12.attn_q.weight	Block 12 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
115	blk.12.attn_v.weight	Block 12 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
116	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
117	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.12: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.12: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
123	blk.13.attn_q.weight	Block 13 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
124	blk.13.attn_v.weight	Block 13 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
125	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
126	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.13: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.13: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
132	blk.14.attn_q.weight	Block 14 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
133	blk.14.attn_v.weight	Block 14 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
134	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
135	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.14: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.14: 2.5019 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	IQ2_S	2.5625
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	IQ3_S	3.4375
141	blk.15.attn_q.weight	Block 15 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
142	blk.15.attn_v.weight	Block 15 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
143	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
144	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.15: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.15: 2.5071 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	IQ2_S	2.5625
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	IQ3_XXS	3.0625
150	blk.16.attn_q.weight	Block 16 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
151	blk.16.attn_v.weight	Block 16 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
152	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
153	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.16: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.16: 2.4756 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
159	blk.17.attn_q.weight	Block 17 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
160	blk.17.attn_v.weight	Block 17 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
161	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
162	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.17: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.17: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
168	blk.18.attn_q.weight	Block 18 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
169	blk.18.attn_v.weight	Block 18 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
170	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
171	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.18: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.18: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
177	blk.19.attn_q.weight	Block 19 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
178	blk.19.attn_v.weight	Block 19 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
179	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
180	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.19: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.19: 2.5019 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	IQ2_S	2.5625
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	IQ3_S	3.4375
186	blk.20.attn_q.weight	Block 20 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
187	blk.20.attn_v.weight	Block 20 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
188	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
189	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.20: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.20: 2.5071 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
195	blk.21.attn_q.weight	Block 21 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
196	blk.21.attn_v.weight	Block 21 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
197	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
198	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.21: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.21: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
204	blk.22.attn_q.weight	Block 22 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
205	blk.22.attn_v.weight	Block 22 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
206	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
207	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.22: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.22: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
213	blk.23.attn_q.weight	Block 23 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
214	blk.23.attn_v.weight	Block 23 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
215	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
216	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.23: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.23: 2.4361 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
222	blk.24.attn_q.weight	Block 24 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_XS	2.3125
223	blk.24.attn_v.weight	Block 24 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
224	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
225	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.24: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.24: 2.4150 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
231	blk.25.attn_q.weight	Block 25 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
232	blk.25.attn_v.weight	Block 25 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
233	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
234	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.25: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.25: 2.5019 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
240	blk.26.attn_q.weight	Block 26 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
241	blk.26.attn_v.weight	Block 26 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
242	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
243	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.26: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.26: 2.5019 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	IQ2_S	2.5625
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	IQ3_S	3.4375
249	blk.27.attn_q.weight	Block 27 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
250	blk.27.attn_v.weight	Block 27 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
251	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
252	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.27: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.27: 2.4413 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	IQ2_S	2.5625
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	IQ3_S	3.4375
258	blk.28.attn_q.weight	Block 28 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
259	blk.28.attn_v.weight	Block 28 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
260	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
261	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.28: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.28: 2.5071 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
267	blk.29.attn_q.weight	Block 29 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
268	blk.29.attn_v.weight	Block 29 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
269	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
270	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.29: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.29: 2.5019 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	IQ2_S	2.5625
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	IQ3_S	3.4375
276	blk.30.attn_q.weight	Block 30 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
277	blk.30.attn_v.weight	Block 30 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ3_XXS	3.0625
278	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
279	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.30: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.30: 2.4506 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
285	blk.31.attn_q.weight	Block 31 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
286	blk.31.attn_v.weight	Block 31 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ2_S	2.5625
287	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
288	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_S	2.5625

• Total elements in blk.31: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.31: 2.5006 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
294	blk.32.attn_q.weight	Block 32 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
295	blk.32.attn_v.weight	Block 32 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
296	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
297	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.32: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.32: 2.4361 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
303	blk.33.attn_q.weight	Block 33 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
304	blk.33.attn_v.weight	Block 33 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
305	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_XS	2.3125
306	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.33: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.33: 2.3703 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
312	blk.34.attn_q.weight	Block 34 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
313	blk.34.attn_v.weight	Block 34 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
314	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_XS	2.3125
315	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XXS	2.0625

• Total elements in blk.34: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.34: 2.3045 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
321	blk.35.attn_q.weight	Block 35 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
322	blk.35.attn_v.weight	Block 35 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
323	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_XS	2.3125
324	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.35: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.35: 2.3703 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
330	blk.36.attn_q.weight	Block 36 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_XS	2.3125
331	blk.36.attn_v.weight	Block 36 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
332	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
333	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.36: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.36: 2.4150 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
339	blk.37.attn_q.weight	Block 37 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
340	blk.37.attn_v.weight	Block 37 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
341	blk.37.ffn_down.weight	Block 37 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
342	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.37: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.37: 2.4361 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
348	blk.38.attn_q.weight	Block 38 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
349	blk.38.attn_v.weight	Block 38 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	Q2_K	2.6250
350	blk.38.ffn_down.weight	Block 38 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_S	2.5625
351	blk.38.ffn_gate.weight	Block 38 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XXS	2.0625
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	IQ2_XS	2.3125

• Total elements in blk.38: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.38: 2.4361 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	IQ2_XS	2.3125
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	IQ3_S	3.4375
357	blk.39.attn_q.weight	Block 39 Attention Query (W)	(~17M) 16777216	4096 x 4096 x 1 x 1	IQ2_S	2.5625
358	blk.39.attn_v.weight	Block 39 Attention Value (W)	( ~4M) 4194304	4096 x 1024 x 1 x 1	IQ2_S	2.5625
359	blk.39.ffn_down.weight	Block 39 Feed-Forward Network "Down" (W)	(~52M) 52428800	12800 x 4096 x 1 x 1	IQ2_XS	2.3125
360	blk.39.ffn_gate.weight	Block 39 Feed-Forward Network "Gate" (W)	(~52M) 52428800	4096 x 12800 x 1 x 1	IQ2_XS	2.3125
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	IQ2_XS	2.3125

• Total elements in blk.39: (~199M) 199237632
• Percentage of total elements: 2.27%
• Bits per Weight (BPW) for blk.39: 2.4348 bits

Total BPW for granite-4.1-8b-Q2_K.gguf: 2.5000 bits