Dolphin-Mistral-24B-Venice-Edition-pruned-GGUF/scores/Dolphin-Mistral-24B-Venice-Edition-Q4_K_S.md

Dolphin-Mistral-24B-Venice-Edition-pruned-Q4_K_S.gguf - GGUF Internal File Dump

• Endian: LITTLE endian

Key Value Metadata Store

There are 46 key-value pairs in this file

POS	TYPE	Count	Key	Value
1	UINT32	1	GGUF.version	3
2	UINT64	1	GGUF.tensor_count	345
3	UINT64	1	GGUF.kv_count	43
4	STRING	1	general.architecture	llama
5	STRING	1	general.type	model
6	STRING	1	general.name	Dolphin Mistral 24B Venice Edition
7	STRING	1	general.finetune	Venice-Edition
8	STRING	1	general.basename	Dolphin-Mistral
9	STRING	1	general.size_label	24B
10	STRING	1	general.license	apache-2.0
11	UINT32	1	general.base_model.count	1
12	STRING	1	general.base_model.0.name	Mistral Small 24B Instruct 2501
13	STRING	1	general.base_model.0.version	2501
14	STRING	1	general.base_model.0.organization	Mistralai
15	STRING	1	general.base_model.0.repo_url	https://huggingface.co/mistral...istral-Small-24B-Instruct-2501
16	UINT32	1	llama.context_length	32768
17	UINT32	1	llama.embedding_length	5120
18	UINT32	1	llama.feed_forward_length	32768
19	UINT32	1	llama.attention.head_count	32
20	UINT32	1	llama.attention.head_count_kv	8
21	FLOAT32	1	llama.rope.freq_base	100000000.0
22	FLOAT32	1	llama.attention.layer_norm_rms_epsilon	1e-05
23	UINT32	1	llama.attention.key_length	128
24	UINT32	1	llama.attention.value_length	128
25	UINT32	1	llama.vocab_size	131072
26	UINT32	1	llama.rope.dimension_count	128
27	STRING	1	tokenizer.ggml.model	gpt2
28	STRING	1	tokenizer.ggml.pre	tekken
29	[STRING]	131072	tokenizer.ggml.tokens	[ <unk>, <s>, </s>, [INST], [/INST], ... ]
30	[INT32]	131072	tokenizer.ggml.token_type	[ 3, 3, 3, 3, 3, 3, 3, ... ]
31	[STRING]	269443	tokenizer.ggml.merges	[ Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ... ]
32	UINT32	1	tokenizer.ggml.bos_token_id	1
33	UINT32	1	tokenizer.ggml.eos_token_id	2
34	UINT32	1	tokenizer.ggml.unknown_token_id	0
35	UINT32	1	tokenizer.ggml.padding_token_id	11
36	BOOL	1	tokenizer.ggml.add_bos_token	True
37	BOOL	1	tokenizer.ggml.add_eos_token	False
38	STRING	1	tokenizer.chat_template	{%- set today = strftime_now("... {%- endif %}{%- endfor %}
39	BOOL	1	tokenizer.ggml.add_space_prefix	False
40	UINT32	1	general.quantization_version	2
41	UINT32	1	general.file_type	14
42	STRING	1	quantize.imatrix.file	./imatrix/imatrix-Dolphin-Mist...l-24B-Venice-Edition-small.dat
43	STRING	1	quantize.imatrix.dataset	../../datasets/imatrix/combined_eur_small.txt
44	UINT32	1	quantize.imatrix.entries_count	281
45	UINT32	1	quantize.imatrix.chunks_count	3192
46	UINT32	1	llama.block_count	38

Tensors Overview ~22B Elements

Total number of elements in all tensors: 22460892160 Elements

• Dolphin-Mistral-24B-Venice-Edition-pruned-Q4_K_S.gguf - GGUF Internal File Dump
  • Key Value Metadata Store
  • Tensors Overview ~22B Elements
    • Tensor Data Offset
    • Base Tensor Group : ~1B Elements
    • Block 0 Tensor Group : ~556M Elements
    • Block 1 Tensor Group : ~556M Elements
    • Block 2 Tensor Group : ~556M Elements
    • Block 3 Tensor Group : ~556M Elements
    • Block 4 Tensor Group : ~556M Elements
    • Block 5 Tensor Group : ~556M Elements
    • Block 6 Tensor Group : ~556M Elements
    • Block 7 Tensor Group : ~556M Elements
    • Block 8 Tensor Group : ~556M Elements
    • Block 9 Tensor Group : ~556M Elements
    • Block 10 Tensor Group : ~556M Elements
    • Block 11 Tensor Group : ~556M Elements
    • Block 12 Tensor Group : ~556M Elements
    • Block 13 Tensor Group : ~556M Elements
    • Block 14 Tensor Group : ~556M Elements
    • Block 15 Tensor Group : ~556M Elements
    • Block 16 Tensor Group : ~556M Elements
    • Block 17 Tensor Group : ~556M Elements
    • Block 18 Tensor Group : ~556M Elements
    • Block 19 Tensor Group : ~556M Elements
    • Block 20 Tensor Group : ~556M Elements
    • Block 21 Tensor Group : ~556M Elements
    • Block 22 Tensor Group : ~556M Elements
    • Block 23 Tensor Group : ~556M Elements
    • Block 24 Tensor Group : ~556M Elements
    • Block 25 Tensor Group : ~556M Elements
    • Block 26 Tensor Group : ~556M Elements
    • Block 27 Tensor Group : ~556M Elements
    • Block 28 Tensor Group : ~556M Elements
    • Block 29 Tensor Group : ~556M Elements
    • Block 30 Tensor Group : ~556M Elements
    • Block 31 Tensor Group : ~556M Elements
    • Block 32 Tensor Group : ~556M Elements
    • Block 33 Tensor Group : ~556M Elements
    • Block 34 Tensor Group : ~556M Elements
    • Block 35 Tensor Group : ~556M Elements
    • Block 36 Tensor Group : ~556M Elements
    • Block 37 Tensor Group : ~556M 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	0x784500	0x16800000
1	output_norm.weight	0x16f84500	0x5000
2	token_embd.weight	0x16f89500	0x11300000
3	blk.0.attn_k.weight	0x28289500	0x226000
4	blk.0.attn_norm.weight	0x284af500	0x5000
5	blk.0.attn_output.weight	0x284b4500	0xb40000
6	blk.0.attn_q.weight	0x28ff4500	0x898000
7	blk.0.attn_v.weight	0x2988c500	0x2d0000
8	blk.0.ffn_down.weight	0x29b5c500	0x6e00000
9	blk.0.ffn_gate.weight	0x3095c500	0x44c0000
10	blk.0.ffn_norm.weight	0x34e1c500	0x5000
11	blk.0.ffn_up.weight	0x34e21500	0x44c0000
12	blk.1.attn_k.weight	0x392e1500	0x226000
13	blk.1.attn_norm.weight	0x39507500	0x5000
14	blk.1.attn_output.weight	0x3950c500	0xb40000
15	blk.1.attn_q.weight	0x3a04c500	0x898000
16	blk.1.attn_v.weight	0x3a8e4500	0x2d0000
17	blk.1.ffn_down.weight	0x3abb4500	0x6e00000
18	blk.1.ffn_gate.weight	0x419b4500	0x44c0000
19	blk.1.ffn_norm.weight	0x45e74500	0x5000
20	blk.1.ffn_up.weight	0x45e79500	0x44c0000
21	blk.2.attn_k.weight	0x4a339500	0x226000
22	blk.2.attn_norm.weight	0x4a55f500	0x5000
23	blk.2.attn_output.weight	0x4a564500	0xb40000
24	blk.2.attn_q.weight	0x4b0a4500	0x898000
25	blk.2.attn_v.weight	0x4b93c500	0x2d0000
26	blk.2.ffn_down.weight	0x4bc0c500	0x6e00000
27	blk.2.ffn_gate.weight	0x52a0c500	0x44c0000
28	blk.2.ffn_norm.weight	0x56ecc500	0x5000
29	blk.2.ffn_up.weight	0x56ed1500	0x44c0000
30	blk.3.attn_k.weight	0x5b391500	0x226000
31	blk.3.attn_norm.weight	0x5b5b7500	0x5000
32	blk.3.attn_output.weight	0x5b5bc500	0xb40000
33	blk.3.attn_q.weight	0x5c0fc500	0x898000
34	blk.3.attn_v.weight	0x5c994500	0x2d0000
35	blk.3.ffn_down.weight	0x5cc64500	0x6e00000
36	blk.3.ffn_gate.weight	0x63a64500	0x44c0000
37	blk.3.ffn_norm.weight	0x67f24500	0x5000
38	blk.3.ffn_up.weight	0x67f29500	0x44c0000
39	blk.4.attn_k.weight	0x6c3e9500	0x226000
40	blk.4.attn_norm.weight	0x6c60f500	0x5000
41	blk.4.attn_output.weight	0x6c614500	0xb40000
42	blk.4.attn_q.weight	0x6d154500	0x898000
43	blk.4.attn_v.weight	0x6d9ec500	0x2d0000
44	blk.4.ffn_down.weight	0x6dcbc500	0x6e00000
45	blk.4.ffn_gate.weight	0x74abc500	0x44c0000
46	blk.4.ffn_norm.weight	0x78f7c500	0x5000
47	blk.4.ffn_up.weight	0x78f81500	0x44c0000
48	blk.5.attn_k.weight	0x7d441500	0x226000
49	blk.5.attn_norm.weight	0x7d667500	0x5000
50	blk.5.attn_output.weight	0x7d66c500	0xb40000
51	blk.5.attn_q.weight	0x7e1ac500	0x898000
52	blk.5.attn_v.weight	0x7ea44500	0x2d0000
53	blk.5.ffn_down.weight	0x7ed14500	0x5a00000
54	blk.5.ffn_gate.weight	0x84714500	0x44c0000
55	blk.5.ffn_norm.weight	0x88bd4500	0x5000
56	blk.5.ffn_up.weight	0x88bd9500	0x44c0000
57	blk.6.attn_k.weight	0x8d099500	0x226000
58	blk.6.attn_norm.weight	0x8d2bf500	0x5000
59	blk.6.attn_output.weight	0x8d2c4500	0xb40000
60	blk.6.attn_q.weight	0x8de04500	0x898000
61	blk.6.attn_v.weight	0x8e69c500	0x2d0000
62	blk.6.ffn_down.weight	0x8e96c500	0x5a00000
63	blk.6.ffn_gate.weight	0x9436c500	0x44c0000
64	blk.6.ffn_norm.weight	0x9882c500	0x5000
65	blk.6.ffn_up.weight	0x98831500	0x44c0000
66	blk.7.attn_k.weight	0x9ccf1500	0x226000
67	blk.7.attn_norm.weight	0x9cf17500	0x5000
68	blk.7.attn_output.weight	0x9cf1c500	0xb40000
69	blk.7.attn_q.weight	0x9da5c500	0x898000
70	blk.7.attn_v.weight	0x9e2f4500	0x2d0000
71	blk.7.ffn_down.weight	0x9e5c4500	0x5a00000
72	blk.7.ffn_gate.weight	0xa3fc4500	0x44c0000
73	blk.7.ffn_norm.weight	0xa8484500	0x5000
74	blk.7.ffn_up.weight	0xa8489500	0x44c0000
75	blk.8.attn_k.weight	0xac949500	0x226000
76	blk.8.attn_norm.weight	0xacb6f500	0x5000
77	blk.8.attn_output.weight	0xacb74500	0xb40000
78	blk.8.attn_q.weight	0xad6b4500	0x898000
79	blk.8.attn_v.weight	0xadf4c500	0x2d0000
80	blk.8.ffn_down.weight	0xae21c500	0x5a00000
81	blk.8.ffn_gate.weight	0xb3c1c500	0x44c0000
82	blk.8.ffn_norm.weight	0xb80dc500	0x5000
83	blk.8.ffn_up.weight	0xb80e1500	0x44c0000
84	blk.9.attn_k.weight	0xbc5a1500	0x226000
85	blk.9.attn_norm.weight	0xbc7c7500	0x5000
86	blk.9.attn_output.weight	0xbc7cc500	0xb40000
87	blk.9.attn_q.weight	0xbd30c500	0x898000
88	blk.9.attn_v.weight	0xbdba4500	0x2d0000
89	blk.9.ffn_down.weight	0xbde74500	0x5a00000
90	blk.9.ffn_gate.weight	0xc3874500	0x44c0000
91	blk.9.ffn_norm.weight	0xc7d34500	0x5000
92	blk.9.ffn_up.weight	0xc7d39500	0x44c0000
93	blk.10.attn_k.weight	0xcc1f9500	0x226000
94	blk.10.attn_norm.weight	0xcc41f500	0x5000
95	blk.10.attn_output.weight	0xcc424500	0xb40000
96	blk.10.attn_q.weight	0xccf64500	0x898000
97	blk.10.attn_v.weight	0xcd7fc500	0x2d0000
98	blk.10.ffn_down.weight	0xcdacc500	0x5a00000
99	blk.10.ffn_gate.weight	0xd34cc500	0x44c0000
100	blk.10.ffn_norm.weight	0xd798c500	0x5000
101	blk.10.ffn_up.weight	0xd7991500	0x44c0000
102	blk.11.attn_k.weight	0xdbe51500	0x226000
103	blk.11.attn_norm.weight	0xdc077500	0x5000
104	blk.11.attn_output.weight	0xdc07c500	0xb40000
105	blk.11.attn_q.weight	0xdcbbc500	0x898000
106	blk.11.attn_v.weight	0xdd454500	0x2d0000
107	blk.11.ffn_down.weight	0xdd724500	0x5a00000
108	blk.11.ffn_gate.weight	0xe3124500	0x44c0000
109	blk.11.ffn_norm.weight	0xe75e4500	0x5000
110	blk.11.ffn_up.weight	0xe75e9500	0x44c0000
111	blk.12.attn_k.weight	0xebaa9500	0x226000
112	blk.12.attn_norm.weight	0xebccf500	0x5000
113	blk.12.attn_output.weight	0xebcd4500	0xb40000
114	blk.12.attn_q.weight	0xec814500	0x898000
115	blk.12.attn_v.weight	0xed0ac500	0x2d0000
116	blk.12.ffn_down.weight	0xed37c500	0x5a00000
117	blk.12.ffn_gate.weight	0xf2d7c500	0x44c0000
118	blk.12.ffn_norm.weight	0xf723c500	0x5000
119	blk.12.ffn_up.weight	0xf7241500	0x44c0000
120	blk.13.attn_k.weight	0xfb701500	0x226000
121	blk.13.attn_norm.weight	0xfb927500	0x5000
122	blk.13.attn_output.weight	0xfb92c500	0xb40000
123	blk.13.attn_q.weight	0xfc46c500	0x898000
124	blk.13.attn_v.weight	0xfcd04500	0x2d0000
125	blk.13.ffn_down.weight	0xfcfd4500	0x5a00000
126	blk.13.ffn_gate.weight	0x1029d4500	0x44c0000
127	blk.13.ffn_norm.weight	0x106e94500	0x5000
128	blk.13.ffn_up.weight	0x106e99500	0x44c0000
129	blk.14.attn_k.weight	0x10b359500	0x226000
130	blk.14.attn_norm.weight	0x10b57f500	0x5000
131	blk.14.attn_output.weight	0x10b584500	0xb40000
132	blk.14.attn_q.weight	0x10c0c4500	0x898000
133	blk.14.attn_v.weight	0x10c95c500	0x2d0000
134	blk.14.ffn_down.weight	0x10cc2c500	0x5a00000
135	blk.14.ffn_gate.weight	0x11262c500	0x44c0000
136	blk.14.ffn_norm.weight	0x116aec500	0x5000
137	blk.14.ffn_up.weight	0x116af1500	0x44c0000
138	blk.15.attn_k.weight	0x11afb1500	0x226000
139	blk.15.attn_norm.weight	0x11b1d7500	0x5000
140	blk.15.attn_output.weight	0x11b1dc500	0xb40000
141	blk.15.attn_q.weight	0x11bd1c500	0x898000
142	blk.15.attn_v.weight	0x11c5b4500	0x2d0000
143	blk.15.ffn_down.weight	0x11c884500	0x5a00000
144	blk.15.ffn_gate.weight	0x122284500	0x44c0000
145	blk.15.ffn_norm.weight	0x126744500	0x5000
146	blk.15.ffn_up.weight	0x126749500	0x44c0000
147	blk.16.attn_k.weight	0x12ac09500	0x226000
148	blk.16.attn_norm.weight	0x12ae2f500	0x5000
149	blk.16.attn_output.weight	0x12ae34500	0xb40000
150	blk.16.attn_q.weight	0x12b974500	0x898000
151	blk.16.attn_v.weight	0x12c20c500	0x2d0000
152	blk.16.ffn_down.weight	0x12c4dc500	0x5a00000
153	blk.16.ffn_gate.weight	0x131edc500	0x44c0000
154	blk.16.ffn_norm.weight	0x13639c500	0x5000
155	blk.16.ffn_up.weight	0x1363a1500	0x44c0000
156	blk.17.attn_k.weight	0x13a861500	0x2d0000
157	blk.17.attn_norm.weight	0x13ab31500	0x5000
158	blk.17.attn_output.weight	0x13ab36500	0xb40000
159	blk.17.attn_q.weight	0x13b676500	0xb40000
160	blk.17.attn_v.weight	0x13c1b6500	0x2d0000
161	blk.17.ffn_down.weight	0x13c486500	0x5a00000
162	blk.17.ffn_gate.weight	0x141e86500	0x44c0000
163	blk.17.ffn_norm.weight	0x146346500	0x5000
164	blk.17.ffn_up.weight	0x14634b500	0x44c0000
165	blk.18.attn_k.weight	0x14a80b500	0x2d0000
166	blk.18.attn_norm.weight	0x14aadb500	0x5000
167	blk.18.attn_output.weight	0x14aae0500	0xb40000
168	blk.18.attn_q.weight	0x14b620500	0xb40000
169	blk.18.attn_v.weight	0x14c160500	0x2d0000
170	blk.18.ffn_down.weight	0x14c430500	0x5a00000
171	blk.18.ffn_gate.weight	0x151e30500	0x44c0000
172	blk.18.ffn_norm.weight	0x1562f0500	0x5000
173	blk.18.ffn_up.weight	0x1562f5500	0x44c0000
174	blk.19.attn_k.weight	0x15a7b5500	0x226000
175	blk.19.attn_norm.weight	0x15a9db500	0x5000
176	blk.19.attn_output.weight	0x15a9e0500	0xb40000
177	blk.19.attn_q.weight	0x15b520500	0x898000
178	blk.19.attn_v.weight	0x15bdb8500	0x2d0000
179	blk.19.ffn_down.weight	0x15c088500	0x5a00000
180	blk.19.ffn_gate.weight	0x161a88500	0x44c0000
181	blk.19.ffn_norm.weight	0x165f48500	0x5000
182	blk.19.ffn_up.weight	0x165f4d500	0x44c0000
183	blk.20.attn_k.weight	0x16a40d500	0x2d0000
184	blk.20.attn_norm.weight	0x16a6dd500	0x5000
185	blk.20.attn_output.weight	0x16a6e2500	0xb40000
186	blk.20.attn_q.weight	0x16b222500	0xb40000
187	blk.20.attn_v.weight	0x16bd62500	0x2d0000
188	blk.20.ffn_down.weight	0x16c032500	0x5a00000
189	blk.20.ffn_gate.weight	0x171a32500	0x5a00000
190	blk.20.ffn_norm.weight	0x177432500	0x5000
191	blk.20.ffn_up.weight	0x177437500	0x5a00000
192	blk.21.attn_k.weight	0x17ce37500	0x226000
193	blk.21.attn_norm.weight	0x17d05d500	0x5000
194	blk.21.attn_output.weight	0x17d062500	0xb40000
195	blk.21.attn_q.weight	0x17dba2500	0x898000
196	blk.21.attn_v.weight	0x17e43a500	0x2d0000
197	blk.21.ffn_down.weight	0x17e70a500	0x5a00000
198	blk.21.ffn_gate.weight	0x18410a500	0x5a00000
199	blk.21.ffn_norm.weight	0x189b0a500	0x5000
200	blk.21.ffn_up.weight	0x189b0f500	0x5a00000
201	blk.22.attn_k.weight	0x18f50f500	0x2d0000
202	blk.22.attn_norm.weight	0x18f7df500	0x5000
203	blk.22.attn_output.weight	0x18f7e4500	0xb40000
204	blk.22.attn_q.weight	0x190324500	0xb40000
205	blk.22.attn_v.weight	0x190e64500	0x2d0000
206	blk.22.ffn_down.weight	0x191134500	0x5a00000
207	blk.22.ffn_gate.weight	0x196b34500	0x5a00000
208	blk.22.ffn_norm.weight	0x19c534500	0x5000
209	blk.22.ffn_up.weight	0x19c539500	0x5a00000
210	blk.23.attn_k.weight	0x1a1f39500	0x2d0000
211	blk.23.attn_norm.weight	0x1a2209500	0x5000
212	blk.23.attn_output.weight	0x1a220e500	0xb40000
213	blk.23.attn_q.weight	0x1a2d4e500	0xb40000
214	blk.23.attn_v.weight	0x1a388e500	0x2d0000
215	blk.23.ffn_down.weight	0x1a3b5e500	0x5a00000
216	blk.23.ffn_gate.weight	0x1a955e500	0x5a00000
217	blk.23.ffn_norm.weight	0x1aef5e500	0x5000
218	blk.23.ffn_up.weight	0x1aef63500	0x5a00000
219	blk.24.attn_k.weight	0x1b4963500	0x2d0000
220	blk.24.attn_norm.weight	0x1b4c33500	0x5000
221	blk.24.attn_output.weight	0x1b4c38500	0xb40000
222	blk.24.attn_q.weight	0x1b5778500	0xb40000
223	blk.24.attn_v.weight	0x1b62b8500	0x2d0000
224	blk.24.ffn_down.weight	0x1b6588500	0x5a00000
225	blk.24.ffn_gate.weight	0x1bbf88500	0x5a00000
226	blk.24.ffn_norm.weight	0x1c1988500	0x5000
227	blk.24.ffn_up.weight	0x1c198d500	0x5a00000
228	blk.25.attn_k.weight	0x1c738d500	0x2d0000
229	blk.25.attn_norm.weight	0x1c765d500	0x5000
230	blk.25.attn_output.weight	0x1c7662500	0xb40000
231	blk.25.attn_q.weight	0x1c81a2500	0xb40000
232	blk.25.attn_v.weight	0x1c8ce2500	0x2d0000
233	blk.25.ffn_down.weight	0x1c8fb2500	0x5a00000
234	blk.25.ffn_gate.weight	0x1ce9b2500	0x5a00000
235	blk.25.ffn_norm.weight	0x1d43b2500	0x5000
236	blk.25.ffn_up.weight	0x1d43b7500	0x5a00000
237	blk.26.attn_k.weight	0x1d9db7500	0x2d0000
238	blk.26.attn_norm.weight	0x1da087500	0x5000
239	blk.26.attn_output.weight	0x1da08c500	0xb40000
240	blk.26.attn_q.weight	0x1dabcc500	0xb40000
241	blk.26.attn_v.weight	0x1db70c500	0x2d0000
242	blk.26.ffn_down.weight	0x1db9dc500	0x5a00000
243	blk.26.ffn_gate.weight	0x1e13dc500	0x5a00000
244	blk.26.ffn_norm.weight	0x1e6ddc500	0x5000
245	blk.26.ffn_up.weight	0x1e6de1500	0x5a00000
246	blk.27.attn_k.weight	0x1ec7e1500	0x226000
247	blk.27.attn_norm.weight	0x1eca07500	0x5000
248	blk.27.attn_output.weight	0x1eca0c500	0xb40000
249	blk.27.attn_q.weight	0x1ed54c500	0x898000
250	blk.27.attn_v.weight	0x1edde4500	0x2d0000
251	blk.27.ffn_down.weight	0x1ee0b4500	0x5a00000
252	blk.27.ffn_gate.weight	0x1f3ab4500	0x5a00000
253	blk.27.ffn_norm.weight	0x1f94b4500	0x5000
254	blk.27.ffn_up.weight	0x1f94b9500	0x5a00000
255	blk.28.attn_k.weight	0x1feeb9500	0x2d0000
256	blk.28.attn_norm.weight	0x1ff189500	0x5000
257	blk.28.attn_output.weight	0x1ff18e500	0xb40000
258	blk.28.attn_q.weight	0x1ffcce500	0xb40000
259	blk.28.attn_v.weight	0x20080e500	0x2d0000
260	blk.28.ffn_down.weight	0x200ade500	0x5a00000
261	blk.28.ffn_gate.weight	0x2064de500	0x5a00000
262	blk.28.ffn_norm.weight	0x20bede500	0x5000
263	blk.28.ffn_up.weight	0x20bee3500	0x5a00000
264	blk.29.attn_k.weight	0x2118e3500	0x2d0000
265	blk.29.attn_norm.weight	0x211bb3500	0x5000
266	blk.29.attn_output.weight	0x211bb8500	0xb40000
267	blk.29.attn_q.weight	0x2126f8500	0xb40000
268	blk.29.attn_v.weight	0x213238500	0x2d0000
269	blk.29.ffn_down.weight	0x213508500	0x5a00000
270	blk.29.ffn_gate.weight	0x218f08500	0x5a00000
271	blk.29.ffn_norm.weight	0x21e908500	0x5000
272	blk.29.ffn_up.weight	0x21e90d500	0x5a00000
273	blk.30.attn_k.weight	0x22430d500	0x2d0000
274	blk.30.attn_norm.weight	0x2245dd500	0x5000
275	blk.30.attn_output.weight	0x2245e2500	0xb40000
276	blk.30.attn_q.weight	0x225122500	0xb40000
277	blk.30.attn_v.weight	0x225c62500	0x2d0000
278	blk.30.ffn_down.weight	0x225f32500	0x5a00000
279	blk.30.ffn_gate.weight	0x22b932500	0x5a00000
280	blk.30.ffn_norm.weight	0x231332500	0x5000
281	blk.30.ffn_up.weight	0x231337500	0x5a00000
282	blk.31.attn_k.weight	0x236d37500	0x2d0000
283	blk.31.attn_norm.weight	0x237007500	0x5000
284	blk.31.attn_output.weight	0x23700c500	0xb40000
285	blk.31.attn_q.weight	0x237b4c500	0xb40000
286	blk.31.attn_v.weight	0x23868c500	0x2d0000
287	blk.31.ffn_down.weight	0x23895c500	0x5a00000
288	blk.31.ffn_gate.weight	0x23e35c500	0x5a00000
289	blk.31.ffn_norm.weight	0x243d5c500	0x5000
290	blk.31.ffn_up.weight	0x243d61500	0x5a00000
291	blk.32.attn_k.weight	0x249761500	0x2d0000
292	blk.32.attn_norm.weight	0x249a31500	0x5000
293	blk.32.attn_output.weight	0x249a36500	0xb40000
294	blk.32.attn_q.weight	0x24a576500	0xb40000
295	blk.32.attn_v.weight	0x24b0b6500	0x2d0000
296	blk.32.ffn_down.weight	0x24b386500	0x5a00000
297	blk.32.ffn_gate.weight	0x250d86500	0x5a00000
298	blk.32.ffn_norm.weight	0x256786500	0x5000
299	blk.32.ffn_up.weight	0x25678b500	0x5a00000
300	blk.33.attn_k.weight	0x25c18b500	0x2d0000
301	blk.33.attn_norm.weight	0x25c45b500	0x5000
302	blk.33.attn_output.weight	0x25c460500	0xb40000
303	blk.33.attn_q.weight	0x25cfa0500	0xb40000
304	blk.33.attn_v.weight	0x25dae0500	0x2d0000
305	blk.33.ffn_down.weight	0x25ddb0500	0x5a00000
306	blk.33.ffn_gate.weight	0x2637b0500	0x5a00000
307	blk.33.ffn_norm.weight	0x2691b0500	0x5000
308	blk.33.ffn_up.weight	0x2691b5500	0x5a00000
309	blk.34.attn_k.weight	0x26ebb5500	0x2d0000
310	blk.34.attn_norm.weight	0x26ee85500	0x5000
311	blk.34.attn_output.weight	0x26ee8a500	0xb40000
312	blk.34.attn_q.weight	0x26f9ca500	0xb40000
313	blk.34.attn_v.weight	0x27050a500	0x2d0000
314	blk.34.ffn_down.weight	0x2707da500	0x5a00000
315	blk.34.ffn_gate.weight	0x2761da500	0x5a00000
316	blk.34.ffn_norm.weight	0x27bbda500	0x5000
317	blk.34.ffn_up.weight	0x27bbdf500	0x5a00000
318	blk.35.attn_k.weight	0x2815df500	0x2d0000
319	blk.35.attn_norm.weight	0x2818af500	0x5000
320	blk.35.attn_output.weight	0x2818b4500	0xb40000
321	blk.35.attn_q.weight	0x2823f4500	0xb40000
322	blk.35.attn_v.weight	0x282f34500	0x2d0000
323	blk.35.ffn_down.weight	0x283204500	0x5a00000
324	blk.35.ffn_gate.weight	0x288c04500	0x5a00000
325	blk.35.ffn_norm.weight	0x28e604500	0x5000
326	blk.35.ffn_up.weight	0x28e609500	0x5a00000
327	blk.36.attn_k.weight	0x294009500	0x2d0000
328	blk.36.attn_norm.weight	0x2942d9500	0x5000
329	blk.36.attn_output.weight	0x2942de500	0xb40000
330	blk.36.attn_q.weight	0x294e1e500	0xb40000
331	blk.36.attn_v.weight	0x29595e500	0x2d0000
332	blk.36.ffn_down.weight	0x295c2e500	0x5a00000
333	blk.36.ffn_gate.weight	0x29b62e500	0x5a00000
334	blk.36.ffn_norm.weight	0x2a102e500	0x5000
335	blk.36.ffn_up.weight	0x2a1033500	0x5a00000
336	blk.37.attn_k.weight	0x2a6a33500	0x2d0000
337	blk.37.attn_norm.weight	0x2a6d03500	0x5000
338	blk.37.attn_output.weight	0x2a6d08500	0xb40000
339	blk.37.attn_q.weight	0x2a7848500	0xb40000
340	blk.37.attn_v.weight	0x2a8388500	0x2d0000
341	blk.37.ffn_down.weight	0x2a8658500	0x5a00000
342	blk.37.ffn_gate.weight	0x2ae058500	0x5a00000
343	blk.37.ffn_norm.weight	0x2b3a58500	0x5000
344	blk.37.ffn_up.weight	0x2b3a5d500	0x5a00000

Base Tensor Group : ~1B Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
0	output.weight	Output (W)	(~671M) 671088640	5120 x 131072 x 1 x 1	Q4_K
1	output_norm.weight	Output Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
2	token_embd.weight	Token Embedding (W)	(~671M) 671088640	5120 x 131072 x 1 x 1	Q3_K

• Total elements in base: ( ~1B) 1342182400
• Percentage of total elements: 5.98%

Block 0 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
3	blk.0.attn_k.weight	Block 0 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
4	blk.0.attn_norm.weight	Block 0 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
5	blk.0.attn_output.weight	Block 0 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
6	blk.0.attn_q.weight	Block 0 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
7	blk.0.attn_v.weight	Block 0 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
8	blk.0.ffn_down.weight	Block 0 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q5_K
9	blk.0.ffn_gate.weight	Block 0 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
10	blk.0.ffn_norm.weight	Block 0 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
11	blk.0.ffn_up.weight	Block 0 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.0: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 1 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
12	blk.1.attn_k.weight	Block 1 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
13	blk.1.attn_norm.weight	Block 1 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
14	blk.1.attn_output.weight	Block 1 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
15	blk.1.attn_q.weight	Block 1 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
16	blk.1.attn_v.weight	Block 1 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
17	blk.1.ffn_down.weight	Block 1 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q5_K
18	blk.1.ffn_gate.weight	Block 1 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
19	blk.1.ffn_norm.weight	Block 1 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
20	blk.1.ffn_up.weight	Block 1 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.1: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 2 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
21	blk.2.attn_k.weight	Block 2 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
22	blk.2.attn_norm.weight	Block 2 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
23	blk.2.attn_output.weight	Block 2 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
24	blk.2.attn_q.weight	Block 2 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
25	blk.2.attn_v.weight	Block 2 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
26	blk.2.ffn_down.weight	Block 2 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q5_K
27	blk.2.ffn_gate.weight	Block 2 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
28	blk.2.ffn_norm.weight	Block 2 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
29	blk.2.ffn_up.weight	Block 2 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.2: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 3 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
30	blk.3.attn_k.weight	Block 3 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
31	blk.3.attn_norm.weight	Block 3 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
32	blk.3.attn_output.weight	Block 3 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
33	blk.3.attn_q.weight	Block 3 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
34	blk.3.attn_v.weight	Block 3 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
35	blk.3.ffn_down.weight	Block 3 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q5_K
36	blk.3.ffn_gate.weight	Block 3 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
37	blk.3.ffn_norm.weight	Block 3 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
38	blk.3.ffn_up.weight	Block 3 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.3: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 4 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
39	blk.4.attn_k.weight	Block 4 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
40	blk.4.attn_norm.weight	Block 4 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
41	blk.4.attn_output.weight	Block 4 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
42	blk.4.attn_q.weight	Block 4 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
43	blk.4.attn_v.weight	Block 4 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
44	blk.4.ffn_down.weight	Block 4 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q5_K
45	blk.4.ffn_gate.weight	Block 4 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
46	blk.4.ffn_norm.weight	Block 4 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
47	blk.4.ffn_up.weight	Block 4 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.4: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 5 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
48	blk.5.attn_k.weight	Block 5 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
49	blk.5.attn_norm.weight	Block 5 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
50	blk.5.attn_output.weight	Block 5 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
51	blk.5.attn_q.weight	Block 5 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
52	blk.5.attn_v.weight	Block 5 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
53	blk.5.ffn_down.weight	Block 5 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
54	blk.5.ffn_gate.weight	Block 5 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
55	blk.5.ffn_norm.weight	Block 5 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
56	blk.5.ffn_up.weight	Block 5 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.5: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 6 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
57	blk.6.attn_k.weight	Block 6 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
58	blk.6.attn_norm.weight	Block 6 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
59	blk.6.attn_output.weight	Block 6 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
60	blk.6.attn_q.weight	Block 6 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
61	blk.6.attn_v.weight	Block 6 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
62	blk.6.ffn_down.weight	Block 6 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
63	blk.6.ffn_gate.weight	Block 6 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
64	blk.6.ffn_norm.weight	Block 6 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
65	blk.6.ffn_up.weight	Block 6 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.6: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 7 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
66	blk.7.attn_k.weight	Block 7 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
67	blk.7.attn_norm.weight	Block 7 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
68	blk.7.attn_output.weight	Block 7 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
69	blk.7.attn_q.weight	Block 7 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
70	blk.7.attn_v.weight	Block 7 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
71	blk.7.ffn_down.weight	Block 7 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
72	blk.7.ffn_gate.weight	Block 7 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
73	blk.7.ffn_norm.weight	Block 7 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
74	blk.7.ffn_up.weight	Block 7 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.7: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 8 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
75	blk.8.attn_k.weight	Block 8 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
76	blk.8.attn_norm.weight	Block 8 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
77	blk.8.attn_output.weight	Block 8 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
78	blk.8.attn_q.weight	Block 8 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
79	blk.8.attn_v.weight	Block 8 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
80	blk.8.ffn_down.weight	Block 8 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
81	blk.8.ffn_gate.weight	Block 8 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
82	blk.8.ffn_norm.weight	Block 8 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
83	blk.8.ffn_up.weight	Block 8 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.8: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 9 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
84	blk.9.attn_k.weight	Block 9 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
85	blk.9.attn_norm.weight	Block 9 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
86	blk.9.attn_output.weight	Block 9 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
87	blk.9.attn_q.weight	Block 9 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
88	blk.9.attn_v.weight	Block 9 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
89	blk.9.ffn_down.weight	Block 9 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
90	blk.9.ffn_gate.weight	Block 9 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
91	blk.9.ffn_norm.weight	Block 9 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
92	blk.9.ffn_up.weight	Block 9 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.9: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 10 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
93	blk.10.attn_k.weight	Block 10 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
94	blk.10.attn_norm.weight	Block 10 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
95	blk.10.attn_output.weight	Block 10 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
96	blk.10.attn_q.weight	Block 10 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
97	blk.10.attn_v.weight	Block 10 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
98	blk.10.ffn_down.weight	Block 10 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
99	blk.10.ffn_gate.weight	Block 10 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
100	blk.10.ffn_norm.weight	Block 10 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
101	blk.10.ffn_up.weight	Block 10 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.10: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 11 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
102	blk.11.attn_k.weight	Block 11 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
103	blk.11.attn_norm.weight	Block 11 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
104	blk.11.attn_output.weight	Block 11 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
105	blk.11.attn_q.weight	Block 11 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
106	blk.11.attn_v.weight	Block 11 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
107	blk.11.ffn_down.weight	Block 11 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
108	blk.11.ffn_gate.weight	Block 11 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
109	blk.11.ffn_norm.weight	Block 11 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
110	blk.11.ffn_up.weight	Block 11 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.11: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 12 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
111	blk.12.attn_k.weight	Block 12 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
112	blk.12.attn_norm.weight	Block 12 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
113	blk.12.attn_output.weight	Block 12 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
114	blk.12.attn_q.weight	Block 12 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
115	blk.12.attn_v.weight	Block 12 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
116	blk.12.ffn_down.weight	Block 12 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
117	blk.12.ffn_gate.weight	Block 12 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
118	blk.12.ffn_norm.weight	Block 12 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
119	blk.12.ffn_up.weight	Block 12 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.12: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 13 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
120	blk.13.attn_k.weight	Block 13 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
121	blk.13.attn_norm.weight	Block 13 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
122	blk.13.attn_output.weight	Block 13 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
123	blk.13.attn_q.weight	Block 13 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
124	blk.13.attn_v.weight	Block 13 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
125	blk.13.ffn_down.weight	Block 13 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
126	blk.13.ffn_gate.weight	Block 13 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
127	blk.13.ffn_norm.weight	Block 13 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
128	blk.13.ffn_up.weight	Block 13 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.13: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 14 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
129	blk.14.attn_k.weight	Block 14 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
130	blk.14.attn_norm.weight	Block 14 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
131	blk.14.attn_output.weight	Block 14 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
132	blk.14.attn_q.weight	Block 14 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
133	blk.14.attn_v.weight	Block 14 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
134	blk.14.ffn_down.weight	Block 14 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
135	blk.14.ffn_gate.weight	Block 14 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
136	blk.14.ffn_norm.weight	Block 14 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
137	blk.14.ffn_up.weight	Block 14 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.14: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 15 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
138	blk.15.attn_k.weight	Block 15 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
139	blk.15.attn_norm.weight	Block 15 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
140	blk.15.attn_output.weight	Block 15 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
141	blk.15.attn_q.weight	Block 15 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
142	blk.15.attn_v.weight	Block 15 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
143	blk.15.ffn_down.weight	Block 15 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
144	blk.15.ffn_gate.weight	Block 15 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
145	blk.15.ffn_norm.weight	Block 15 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
146	blk.15.ffn_up.weight	Block 15 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.15: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 16 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
147	blk.16.attn_k.weight	Block 16 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
148	blk.16.attn_norm.weight	Block 16 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
149	blk.16.attn_output.weight	Block 16 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
150	blk.16.attn_q.weight	Block 16 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
151	blk.16.attn_v.weight	Block 16 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
152	blk.16.ffn_down.weight	Block 16 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
153	blk.16.ffn_gate.weight	Block 16 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
154	blk.16.ffn_norm.weight	Block 16 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
155	blk.16.ffn_up.weight	Block 16 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.16: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 17 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
156	blk.17.attn_k.weight	Block 17 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
157	blk.17.attn_norm.weight	Block 17 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
158	blk.17.attn_output.weight	Block 17 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
159	blk.17.attn_q.weight	Block 17 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
160	blk.17.attn_v.weight	Block 17 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
161	blk.17.ffn_down.weight	Block 17 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
162	blk.17.ffn_gate.weight	Block 17 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
163	blk.17.ffn_norm.weight	Block 17 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
164	blk.17.ffn_up.weight	Block 17 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.17: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 18 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
165	blk.18.attn_k.weight	Block 18 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
166	blk.18.attn_norm.weight	Block 18 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
167	blk.18.attn_output.weight	Block 18 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
168	blk.18.attn_q.weight	Block 18 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
169	blk.18.attn_v.weight	Block 18 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
170	blk.18.ffn_down.weight	Block 18 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
171	blk.18.ffn_gate.weight	Block 18 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
172	blk.18.ffn_norm.weight	Block 18 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
173	blk.18.ffn_up.weight	Block 18 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.18: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 19 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
174	blk.19.attn_k.weight	Block 19 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
175	blk.19.attn_norm.weight	Block 19 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
176	blk.19.attn_output.weight	Block 19 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
177	blk.19.attn_q.weight	Block 19 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
178	blk.19.attn_v.weight	Block 19 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
179	blk.19.ffn_down.weight	Block 19 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
180	blk.19.ffn_gate.weight	Block 19 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K
181	blk.19.ffn_norm.weight	Block 19 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
182	blk.19.ffn_up.weight	Block 19 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q3_K

• Total elements in blk.19: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 20 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
183	blk.20.attn_k.weight	Block 20 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
184	blk.20.attn_norm.weight	Block 20 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
185	blk.20.attn_output.weight	Block 20 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
186	blk.20.attn_q.weight	Block 20 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
187	blk.20.attn_v.weight	Block 20 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
188	blk.20.ffn_down.weight	Block 20 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
189	blk.20.ffn_gate.weight	Block 20 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
190	blk.20.ffn_norm.weight	Block 20 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
191	blk.20.ffn_up.weight	Block 20 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.20: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 21 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
192	blk.21.attn_k.weight	Block 21 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
193	blk.21.attn_norm.weight	Block 21 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
194	blk.21.attn_output.weight	Block 21 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
195	blk.21.attn_q.weight	Block 21 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
196	blk.21.attn_v.weight	Block 21 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
197	blk.21.ffn_down.weight	Block 21 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
198	blk.21.ffn_gate.weight	Block 21 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
199	blk.21.ffn_norm.weight	Block 21 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
200	blk.21.ffn_up.weight	Block 21 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.21: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 22 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
201	blk.22.attn_k.weight	Block 22 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
202	blk.22.attn_norm.weight	Block 22 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
203	blk.22.attn_output.weight	Block 22 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
204	blk.22.attn_q.weight	Block 22 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
205	blk.22.attn_v.weight	Block 22 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
206	blk.22.ffn_down.weight	Block 22 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
207	blk.22.ffn_gate.weight	Block 22 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
208	blk.22.ffn_norm.weight	Block 22 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
209	blk.22.ffn_up.weight	Block 22 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.22: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 23 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
210	blk.23.attn_k.weight	Block 23 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
211	blk.23.attn_norm.weight	Block 23 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
212	blk.23.attn_output.weight	Block 23 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
213	blk.23.attn_q.weight	Block 23 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
214	blk.23.attn_v.weight	Block 23 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
215	blk.23.ffn_down.weight	Block 23 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
216	blk.23.ffn_gate.weight	Block 23 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
217	blk.23.ffn_norm.weight	Block 23 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
218	blk.23.ffn_up.weight	Block 23 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.23: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 24 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
219	blk.24.attn_k.weight	Block 24 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
220	blk.24.attn_norm.weight	Block 24 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
221	blk.24.attn_output.weight	Block 24 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
222	blk.24.attn_q.weight	Block 24 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
223	blk.24.attn_v.weight	Block 24 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
224	blk.24.ffn_down.weight	Block 24 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
225	blk.24.ffn_gate.weight	Block 24 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
226	blk.24.ffn_norm.weight	Block 24 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
227	blk.24.ffn_up.weight	Block 24 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.24: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 25 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
228	blk.25.attn_k.weight	Block 25 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
229	blk.25.attn_norm.weight	Block 25 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
230	blk.25.attn_output.weight	Block 25 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
231	blk.25.attn_q.weight	Block 25 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
232	blk.25.attn_v.weight	Block 25 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
233	blk.25.ffn_down.weight	Block 25 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
234	blk.25.ffn_gate.weight	Block 25 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
235	blk.25.ffn_norm.weight	Block 25 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
236	blk.25.ffn_up.weight	Block 25 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.25: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 26 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
237	blk.26.attn_k.weight	Block 26 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
238	blk.26.attn_norm.weight	Block 26 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
239	blk.26.attn_output.weight	Block 26 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
240	blk.26.attn_q.weight	Block 26 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
241	blk.26.attn_v.weight	Block 26 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
242	blk.26.ffn_down.weight	Block 26 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
243	blk.26.ffn_gate.weight	Block 26 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
244	blk.26.ffn_norm.weight	Block 26 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
245	blk.26.ffn_up.weight	Block 26 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.26: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 27 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
246	blk.27.attn_k.weight	Block 27 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q3_K
247	blk.27.attn_norm.weight	Block 27 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
248	blk.27.attn_output.weight	Block 27 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
249	blk.27.attn_q.weight	Block 27 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q3_K
250	blk.27.attn_v.weight	Block 27 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
251	blk.27.ffn_down.weight	Block 27 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
252	blk.27.ffn_gate.weight	Block 27 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
253	blk.27.ffn_norm.weight	Block 27 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
254	blk.27.ffn_up.weight	Block 27 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.27: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 28 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
255	blk.28.attn_k.weight	Block 28 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
256	blk.28.attn_norm.weight	Block 28 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
257	blk.28.attn_output.weight	Block 28 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
258	blk.28.attn_q.weight	Block 28 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
259	blk.28.attn_v.weight	Block 28 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
260	blk.28.ffn_down.weight	Block 28 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
261	blk.28.ffn_gate.weight	Block 28 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
262	blk.28.ffn_norm.weight	Block 28 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
263	blk.28.ffn_up.weight	Block 28 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.28: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 29 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
264	blk.29.attn_k.weight	Block 29 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
265	blk.29.attn_norm.weight	Block 29 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
266	blk.29.attn_output.weight	Block 29 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
267	blk.29.attn_q.weight	Block 29 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
268	blk.29.attn_v.weight	Block 29 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
269	blk.29.ffn_down.weight	Block 29 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
270	blk.29.ffn_gate.weight	Block 29 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
271	blk.29.ffn_norm.weight	Block 29 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
272	blk.29.ffn_up.weight	Block 29 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.29: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 30 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
273	blk.30.attn_k.weight	Block 30 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
274	blk.30.attn_norm.weight	Block 30 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
275	blk.30.attn_output.weight	Block 30 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
276	blk.30.attn_q.weight	Block 30 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
277	blk.30.attn_v.weight	Block 30 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
278	blk.30.ffn_down.weight	Block 30 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
279	blk.30.ffn_gate.weight	Block 30 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
280	blk.30.ffn_norm.weight	Block 30 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
281	blk.30.ffn_up.weight	Block 30 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.30: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 31 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
282	blk.31.attn_k.weight	Block 31 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
283	blk.31.attn_norm.weight	Block 31 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
284	blk.31.attn_output.weight	Block 31 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
285	blk.31.attn_q.weight	Block 31 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
286	blk.31.attn_v.weight	Block 31 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
287	blk.31.ffn_down.weight	Block 31 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
288	blk.31.ffn_gate.weight	Block 31 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
289	blk.31.ffn_norm.weight	Block 31 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
290	blk.31.ffn_up.weight	Block 31 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.31: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 32 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
291	blk.32.attn_k.weight	Block 32 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
292	blk.32.attn_norm.weight	Block 32 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
293	blk.32.attn_output.weight	Block 32 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
294	blk.32.attn_q.weight	Block 32 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
295	blk.32.attn_v.weight	Block 32 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
296	blk.32.ffn_down.weight	Block 32 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
297	blk.32.ffn_gate.weight	Block 32 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
298	blk.32.ffn_norm.weight	Block 32 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
299	blk.32.ffn_up.weight	Block 32 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.32: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 33 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
300	blk.33.attn_k.weight	Block 33 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
301	blk.33.attn_norm.weight	Block 33 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
302	blk.33.attn_output.weight	Block 33 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
303	blk.33.attn_q.weight	Block 33 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
304	blk.33.attn_v.weight	Block 33 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
305	blk.33.ffn_down.weight	Block 33 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
306	blk.33.ffn_gate.weight	Block 33 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
307	blk.33.ffn_norm.weight	Block 33 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
308	blk.33.ffn_up.weight	Block 33 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.33: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 34 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
309	blk.34.attn_k.weight	Block 34 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
310	blk.34.attn_norm.weight	Block 34 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
311	blk.34.attn_output.weight	Block 34 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
312	blk.34.attn_q.weight	Block 34 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
313	blk.34.attn_v.weight	Block 34 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
314	blk.34.ffn_down.weight	Block 34 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
315	blk.34.ffn_gate.weight	Block 34 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
316	blk.34.ffn_norm.weight	Block 34 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
317	blk.34.ffn_up.weight	Block 34 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.34: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 35 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
318	blk.35.attn_k.weight	Block 35 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
319	blk.35.attn_norm.weight	Block 35 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
320	blk.35.attn_output.weight	Block 35 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
321	blk.35.attn_q.weight	Block 35 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
322	blk.35.attn_v.weight	Block 35 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
323	blk.35.ffn_down.weight	Block 35 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
324	blk.35.ffn_gate.weight	Block 35 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
325	blk.35.ffn_norm.weight	Block 35 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
326	blk.35.ffn_up.weight	Block 35 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.35: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 36 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
327	blk.36.attn_k.weight	Block 36 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
328	blk.36.attn_norm.weight	Block 36 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
329	blk.36.attn_output.weight	Block 36 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
330	blk.36.attn_q.weight	Block 36 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
331	blk.36.attn_v.weight	Block 36 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
332	blk.36.ffn_down.weight	Block 36 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
333	blk.36.ffn_gate.weight	Block 36 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
334	blk.36.ffn_norm.weight	Block 36 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
335	blk.36.ffn_up.weight	Block 36 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.36: (~556M) 555755520
• Percentage of total elements: 2.47%

Block 37 Tensor Group : ~556M Elements

T_ID	Tensor Layer Name	Human Friendly Tensor Layer Name	Elements	Shape	Type
336	blk.37.attn_k.weight	Block 37 Attention Key (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
337	blk.37.attn_norm.weight	Block 37 Attention Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
338	blk.37.attn_output.weight	Block 37 Attention Output (W)	( ~21M) 20971520	4096 x 5120 x 1 x 1	Q4_K
339	blk.37.attn_q.weight	Block 37 Attention Query (W)	( ~21M) 20971520	5120 x 4096 x 1 x 1	Q4_K
340	blk.37.attn_v.weight	Block 37 Attention Value (W)	( ~5M) 5242880	5120 x 1024 x 1 x 1	Q4_K
341	blk.37.ffn_down.weight	Block 37 Feed-Forward Network "Down" (W)	(~168M) 167772160	32768 x 5120 x 1 x 1	Q4_K
342	blk.37.ffn_gate.weight	Block 37 Feed-Forward Network "Gate" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K
343	blk.37.ffn_norm.weight	Block 37 Feed-Forward Network Normalization (W)	( ~5K) 5120	5120 x 1 x 1 x 1	F32
344	blk.37.ffn_up.weight	Block 37 Feed-Forward Network "Up" (W)	(~168M) 167772160	5120 x 32768 x 1 x 1	Q4_K

• Total elements in blk.37: (~556M) 555755520
• Percentage of total elements: 2.47%