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mofosyne
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TinyLLama-v0-5M-F16-llamafile

Text Generation
GGUF
llamafile
English
model-conversion
Model card Files Community
mofosyne commited on
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1 Parent(s): 7fb699e

detailed licence kv metadata was missing

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Files changed (5) hide show
  1. Tinyllama-4.6M-v0.0-F16.dump.md +104 -101
  2. Tinyllama-4.6M-v0.0-F16.gguf +2 -2
  3. Tinyllama-4.6M-v0.0-F16.llamafile +1 -1
  4. llamafile-creation.sh +1 -1
  5. maykeye_tinyllama-metadata.json +4 -3
Tinyllama-4.6M-v0.0-F16.dump.md CHANGED
@@ -4,13 +4,13 @@
4
 
5
  ## Key Value Metadata Store
6
 
7
- There are 36 key-value pairs in this file
8
 
9
  | POS | TYPE | Count | Key | Value |
10
  |----:|:----------|------:|:---------------------------------------|:---------------------------------------------------------------------------------|
11
  | 1 | UINT32 | 1 | GGUF.version | 3 |
12
  | 2 | UINT64 | 1 | GGUF.tensor_count | 75 |
13
- | 3 | UINT64 | 1 | GGUF.kv_count | 33 |
14
  | 4 | STRING | 1 | general.architecture | `llama` |
15
  | 5 | STRING | 1 | general.type | `model` |
16
  | 6 | STRING | 1 | general.name | `TinyLLama` |
@@ -20,30 +20,33 @@ There are 36 key-value pairs in this file
20
  | 10 | STRING | 1 | general.quantized_by | `Mofosyne` |
21
  | 11 | STRING | 1 | general.size_label | `4.6M` |
22
  | 12 | STRING | 1 | general.license | `apache-2.0` |
23
- | 13 | STRING | 1 | general.url | `https://huggingface.co/mofosyne/TinyLLama-v0-llamafile` |
24
- | 14 | STRING | 1 | general.source.url | `https://huggingface.co/Maykeye/TinyLLama-v0` |
25
- | 15 | [STRING] | 5 | general.tags | [ `text generation`, `transformer`, `llama`, `tiny`, `tiny model` ] |
26
- | 16 | [STRING] | 1 | general.languages | [ `en` ] |
27
- | 17 | [STRING] | 2 | general.datasets | [ `https://hugging`...`-GPT4-train.txt`, `https://hugging`...`-GPT4-valid.txt` ] |
28
- | 18 | UINT32 | 1 | llama.block_count | 8 |
29
- | 19 | UINT32 | 1 | llama.context_length | 2048 |
30
- | 20 | UINT32 | 1 | llama.embedding_length | 64 |
31
- | 21 | UINT32 | 1 | llama.feed_forward_length | 256 |
32
- | 22 | UINT32 | 1 | llama.attention.head_count | 16 |
33
- | 23 | FLOAT32 | 1 | llama.attention.layer_norm_rms_epsilon | 1e-06 |
34
- | 24 | UINT32 | 1 | general.file_type | 1 |
35
- | 25 | UINT32 | 1 | llama.vocab_size | 32000 |
36
- | 26 | UINT32 | 1 | llama.rope.dimension_count | 4 |
37
- | 27 | STRING | 1 | tokenizer.ggml.model | `llama` |
38
- | 28 | STRING | 1 | tokenizer.ggml.pre | `default` |
39
- | 29 | [STRING] | 32000 | tokenizer.ggml.tokens | [ `<unk>`, `<s>`, `</s>`, `<0x00>`, `<0x01>`, ... ] |
40
- | 30 | [FLOAT32] | 32000 | tokenizer.ggml.scores | [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ] |
41
- | 31 | [INT32] | 32000 | tokenizer.ggml.token_type | [ 2, 3, 3, 6, 6, 6, 6, ... ] |
42
- | 32 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 1 |
43
- | 33 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 2 |
44
- | 34 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 0 |
45
- | 35 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 0 |
46
- | 36 | UINT32 | 1 | general.quantization_version | 2 |
 
 
 
47
 
48
  ## Tensors Overview ~5M Elements
49
 
@@ -65,81 +68,81 @@ This table contains the offset and data segment relative to start of file
65
 
66
  | T_ID | Tensor Layer Name | Data Offset (B) | Data Size (B) |
67
  |-----:|:-------------------------|-----------------:|-----------------:|
68
- | 0 | output.weight | 0xba760 | 0x3e8000 |
69
- | 1 | token_embd.weight | 0x4a2760 | 0x3e8000 |
70
- | 2 | blk.0.attn_norm.weight | 0x88a760 | 0x100 |
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- | 3 | blk.0.ffn_down.weight | 0x88a860 | 0x8000 |
72
- | 4 | blk.0.ffn_gate.weight | 0x892860 | 0x8000 |
73
- | 5 | blk.0.ffn_up.weight | 0x89a860 | 0x8000 |
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- | 6 | blk.0.ffn_norm.weight | 0x8a2860 | 0x100 |
75
- | 7 | blk.0.attn_k.weight | 0x8a2960 | 0x2000 |
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- | 8 | blk.0.attn_output.weight | 0x8a4960 | 0x2000 |
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- | 9 | blk.0.attn_q.weight | 0x8a6960 | 0x2000 |
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- | 10 | blk.0.attn_v.weight | 0x8a8960 | 0x2000 |
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- | 11 | blk.1.attn_norm.weight | 0x8aa960 | 0x100 |
80
- | 12 | blk.1.ffn_down.weight | 0x8aaa60 | 0x8000 |
81
- | 13 | blk.1.ffn_gate.weight | 0x8b2a60 | 0x8000 |
82
- | 14 | blk.1.ffn_up.weight | 0x8baa60 | 0x8000 |
83
- | 15 | blk.1.ffn_norm.weight | 0x8c2a60 | 0x100 |
84
- | 16 | blk.1.attn_k.weight | 0x8c2b60 | 0x2000 |
85
- | 17 | blk.1.attn_output.weight | 0x8c4b60 | 0x2000 |
86
- | 18 | blk.1.attn_q.weight | 0x8c6b60 | 0x2000 |
87
- | 19 | blk.1.attn_v.weight | 0x8c8b60 | 0x2000 |
88
- | 20 | blk.2.attn_norm.weight | 0x8cab60 | 0x100 |
89
- | 21 | blk.2.ffn_down.weight | 0x8cac60 | 0x8000 |
90
- | 22 | blk.2.ffn_gate.weight | 0x8d2c60 | 0x8000 |
91
- | 23 | blk.2.ffn_up.weight | 0x8dac60 | 0x8000 |
92
- | 24 | blk.2.ffn_norm.weight | 0x8e2c60 | 0x100 |
93
- | 25 | blk.2.attn_k.weight | 0x8e2d60 | 0x2000 |
94
- | 26 | blk.2.attn_output.weight | 0x8e4d60 | 0x2000 |
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- | 27 | blk.2.attn_q.weight | 0x8e6d60 | 0x2000 |
96
- | 28 | blk.2.attn_v.weight | 0x8e8d60 | 0x2000 |
97
- | 29 | blk.3.attn_norm.weight | 0x8ead60 | 0x100 |
98
- | 30 | blk.3.ffn_down.weight | 0x8eae60 | 0x8000 |
99
- | 31 | blk.3.ffn_gate.weight | 0x8f2e60 | 0x8000 |
100
- | 32 | blk.3.ffn_up.weight | 0x8fae60 | 0x8000 |
101
- | 33 | blk.3.ffn_norm.weight | 0x902e60 | 0x100 |
102
- | 34 | blk.3.attn_k.weight | 0x902f60 | 0x2000 |
103
- | 35 | blk.3.attn_output.weight | 0x904f60 | 0x2000 |
104
- | 36 | blk.3.attn_q.weight | 0x906f60 | 0x2000 |
105
- | 37 | blk.3.attn_v.weight | 0x908f60 | 0x2000 |
106
- | 38 | blk.4.attn_norm.weight | 0x90af60 | 0x100 |
107
- | 39 | blk.4.ffn_down.weight | 0x90b060 | 0x8000 |
108
- | 40 | blk.4.ffn_gate.weight | 0x913060 | 0x8000 |
109
- | 41 | blk.4.ffn_up.weight | 0x91b060 | 0x8000 |
110
- | 42 | blk.4.ffn_norm.weight | 0x923060 | 0x100 |
111
- | 43 | blk.4.attn_k.weight | 0x923160 | 0x2000 |
112
- | 44 | blk.4.attn_output.weight | 0x925160 | 0x2000 |
113
- | 45 | blk.4.attn_q.weight | 0x927160 | 0x2000 |
114
- | 46 | blk.4.attn_v.weight | 0x929160 | 0x2000 |
115
- | 47 | blk.5.attn_norm.weight | 0x92b160 | 0x100 |
116
- | 48 | blk.5.ffn_down.weight | 0x92b260 | 0x8000 |
117
- | 49 | blk.5.ffn_gate.weight | 0x933260 | 0x8000 |
118
- | 50 | blk.5.ffn_up.weight | 0x93b260 | 0x8000 |
119
- | 51 | blk.5.ffn_norm.weight | 0x943260 | 0x100 |
120
- | 52 | blk.5.attn_k.weight | 0x943360 | 0x2000 |
121
- | 53 | blk.5.attn_output.weight | 0x945360 | 0x2000 |
122
- | 54 | blk.5.attn_q.weight | 0x947360 | 0x2000 |
123
- | 55 | blk.5.attn_v.weight | 0x949360 | 0x2000 |
124
- | 56 | blk.6.attn_norm.weight | 0x94b360 | 0x100 |
125
- | 57 | blk.6.ffn_down.weight | 0x94b460 | 0x8000 |
126
- | 58 | blk.6.ffn_gate.weight | 0x953460 | 0x8000 |
127
- | 59 | blk.6.ffn_up.weight | 0x95b460 | 0x8000 |
128
- | 60 | blk.6.ffn_norm.weight | 0x963460 | 0x100 |
129
- | 61 | blk.6.attn_k.weight | 0x963560 | 0x2000 |
130
- | 62 | blk.6.attn_output.weight | 0x965560 | 0x2000 |
131
- | 63 | blk.6.attn_q.weight | 0x967560 | 0x2000 |
132
- | 64 | blk.6.attn_v.weight | 0x969560 | 0x2000 |
133
- | 65 | blk.7.attn_norm.weight | 0x96b560 | 0x100 |
134
- | 66 | blk.7.ffn_down.weight | 0x96b660 | 0x8000 |
135
- | 67 | blk.7.ffn_gate.weight | 0x973660 | 0x8000 |
136
- | 68 | blk.7.ffn_up.weight | 0x97b660 | 0x8000 |
137
- | 69 | blk.7.ffn_norm.weight | 0x983660 | 0x100 |
138
- | 70 | blk.7.attn_k.weight | 0x983760 | 0x2000 |
139
- | 71 | blk.7.attn_output.weight | 0x985760 | 0x2000 |
140
- | 72 | blk.7.attn_q.weight | 0x987760 | 0x2000 |
141
- | 73 | blk.7.attn_v.weight | 0x989760 | 0x2000 |
142
- | 74 | output_norm.weight | 0x98b760 | 0x100 |
143
 
144
  ### <a name="base">Base Tensor Group : ~4M Elements</a>
145
 
 
4
 
5
  ## Key Value Metadata Store
6
 
7
+ There are 39 key-value pairs in this file
8
 
9
  | POS | TYPE | Count | Key | Value |
10
  |----:|:----------|------:|:---------------------------------------|:---------------------------------------------------------------------------------|
11
  | 1 | UINT32 | 1 | GGUF.version | 3 |
12
  | 2 | UINT64 | 1 | GGUF.tensor_count | 75 |
13
+ | 3 | UINT64 | 1 | GGUF.kv_count | 36 |
14
  | 4 | STRING | 1 | general.architecture | `llama` |
15
  | 5 | STRING | 1 | general.type | `model` |
16
  | 6 | STRING | 1 | general.name | `TinyLLama` |
 
20
  | 10 | STRING | 1 | general.quantized_by | `Mofosyne` |
21
  | 11 | STRING | 1 | general.size_label | `4.6M` |
22
  | 12 | STRING | 1 | general.license | `apache-2.0` |
23
+ | 13 | STRING | 1 | general.license.name | `Apache License Version 2.0, January 2004` |
24
+ | 14 | STRING | 1 | general.license.link | `https://huggingface.co/dataset`...`ob/main/markdown/apache-2.0.md` |
25
+ | 15 | STRING | 1 | general.url | `https://huggingface.co/mofosyne/TinyLLama-v0-llamafile` |
26
+ | 16 | STRING | 1 | general.source.url | `https://huggingface.co/Maykeye/TinyLLama-v0` |
27
+ | 17 | STRING | 1 | general.source.repo_url | `https://huggingface.co/Maykeye/TinyLLama-v0` |
28
+ | 18 | [STRING] | 5 | general.tags | [ `text generation`, `transformer`, `llama`, `tiny`, `tiny model` ] |
29
+ | 19 | [STRING] | 1 | general.languages | [ `en` ] |
30
+ | 20 | [STRING] | 2 | general.datasets | [ `https://hugging`...`-GPT4-train.txt`, `https://hugging`...`-GPT4-valid.txt` ] |
31
+ | 21 | UINT32 | 1 | llama.block_count | 8 |
32
+ | 22 | UINT32 | 1 | llama.context_length | 2048 |
33
+ | 23 | UINT32 | 1 | llama.embedding_length | 64 |
34
+ | 24 | UINT32 | 1 | llama.feed_forward_length | 256 |
35
+ | 25 | UINT32 | 1 | llama.attention.head_count | 16 |
36
+ | 26 | FLOAT32 | 1 | llama.attention.layer_norm_rms_epsilon | 1e-06 |
37
+ | 27 | UINT32 | 1 | general.file_type | 1 |
38
+ | 28 | UINT32 | 1 | llama.vocab_size | 32000 |
39
+ | 29 | UINT32 | 1 | llama.rope.dimension_count | 4 |
40
+ | 30 | STRING | 1 | tokenizer.ggml.model | `llama` |
41
+ | 31 | STRING | 1 | tokenizer.ggml.pre | `default` |
42
+ | 32 | [STRING] | 32000 | tokenizer.ggml.tokens | [ `<unk>`, `<s>`, `</s>`, `<0x00>`, `<0x01>`, ... ] |
43
+ | 33 | [FLOAT32] | 32000 | tokenizer.ggml.scores | [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ] |
44
+ | 34 | [INT32] | 32000 | tokenizer.ggml.token_type | [ 2, 3, 3, 6, 6, 6, 6, ... ] |
45
+ | 35 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 1 |
46
+ | 36 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 2 |
47
+ | 37 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 0 |
48
+ | 38 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 0 |
49
+ | 39 | UINT32 | 1 | general.quantization_version | 2 |
50
 
51
  ## Tensors Overview ~5M Elements
52
 
 
68
 
69
  | T_ID | Tensor Layer Name | Data Offset (B) | Data Size (B) |
70
  |-----:|:-------------------------|-----------------:|-----------------:|
71
+ | 0 | output.weight | 0xba880 | 0x3e8000 |
72
+ | 1 | token_embd.weight | 0x4a2880 | 0x3e8000 |
73
+ | 2 | blk.0.attn_norm.weight | 0x88a880 | 0x100 |
74
+ | 3 | blk.0.ffn_down.weight | 0x88a980 | 0x8000 |
75
+ | 4 | blk.0.ffn_gate.weight | 0x892980 | 0x8000 |
76
+ | 5 | blk.0.ffn_up.weight | 0x89a980 | 0x8000 |
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+ | 6 | blk.0.ffn_norm.weight | 0x8a2980 | 0x100 |
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+ | 7 | blk.0.attn_k.weight | 0x8a2a80 | 0x2000 |
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+ | 8 | blk.0.attn_output.weight | 0x8a4a80 | 0x2000 |
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+ | 9 | blk.0.attn_q.weight | 0x8a6a80 | 0x2000 |
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+ | 10 | blk.0.attn_v.weight | 0x8a8a80 | 0x2000 |
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+ | 11 | blk.1.attn_norm.weight | 0x8aaa80 | 0x100 |
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+ | 12 | blk.1.ffn_down.weight | 0x8aab80 | 0x8000 |
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+ | 13 | blk.1.ffn_gate.weight | 0x8b2b80 | 0x8000 |
85
+ | 14 | blk.1.ffn_up.weight | 0x8bab80 | 0x8000 |
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+ | 15 | blk.1.ffn_norm.weight | 0x8c2b80 | 0x100 |
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+ | 16 | blk.1.attn_k.weight | 0x8c2c80 | 0x2000 |
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+ | 17 | blk.1.attn_output.weight | 0x8c4c80 | 0x2000 |
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+ | 18 | blk.1.attn_q.weight | 0x8c6c80 | 0x2000 |
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+ | 19 | blk.1.attn_v.weight | 0x8c8c80 | 0x2000 |
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+ | 20 | blk.2.attn_norm.weight | 0x8cac80 | 0x100 |
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+ | 21 | blk.2.ffn_down.weight | 0x8cad80 | 0x8000 |
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+ | 22 | blk.2.ffn_gate.weight | 0x8d2d80 | 0x8000 |
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+ | 23 | blk.2.ffn_up.weight | 0x8dad80 | 0x8000 |
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+ | 24 | blk.2.ffn_norm.weight | 0x8e2d80 | 0x100 |
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+ | 25 | blk.2.attn_k.weight | 0x8e2e80 | 0x2000 |
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+ | 27 | blk.2.attn_q.weight | 0x8e6e80 | 0x2000 |
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+ | 28 | blk.2.attn_v.weight | 0x8e8e80 | 0x2000 |
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+ | 30 | blk.3.ffn_down.weight | 0x8eaf80 | 0x8000 |
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+ | 33 | blk.3.ffn_norm.weight | 0x902f80 | 0x100 |
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+ | 35 | blk.3.attn_output.weight | 0x905080 | 0x2000 |
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+ | 36 | blk.3.attn_q.weight | 0x907080 | 0x2000 |
108
+ | 37 | blk.3.attn_v.weight | 0x909080 | 0x2000 |
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+ | 38 | blk.4.attn_norm.weight | 0x90b080 | 0x100 |
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+ | 39 | blk.4.ffn_down.weight | 0x90b180 | 0x8000 |
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+ | 40 | blk.4.ffn_gate.weight | 0x913180 | 0x8000 |
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+ | 41 | blk.4.ffn_up.weight | 0x91b180 | 0x8000 |
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+ | 42 | blk.4.ffn_norm.weight | 0x923180 | 0x100 |
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+ | 43 | blk.4.attn_k.weight | 0x923280 | 0x2000 |
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+ | 44 | blk.4.attn_output.weight | 0x925280 | 0x2000 |
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+ | 45 | blk.4.attn_q.weight | 0x927280 | 0x2000 |
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+ | 46 | blk.4.attn_v.weight | 0x929280 | 0x2000 |
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+ | 47 | blk.5.attn_norm.weight | 0x92b280 | 0x100 |
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+ | 48 | blk.5.ffn_down.weight | 0x92b380 | 0x8000 |
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+ | 49 | blk.5.ffn_gate.weight | 0x933380 | 0x8000 |
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+ | 50 | blk.5.ffn_up.weight | 0x93b380 | 0x8000 |
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+ | 51 | blk.5.ffn_norm.weight | 0x943380 | 0x100 |
123
+ | 52 | blk.5.attn_k.weight | 0x943480 | 0x2000 |
124
+ | 53 | blk.5.attn_output.weight | 0x945480 | 0x2000 |
125
+ | 54 | blk.5.attn_q.weight | 0x947480 | 0x2000 |
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+ | 55 | blk.5.attn_v.weight | 0x949480 | 0x2000 |
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+ | 56 | blk.6.attn_norm.weight | 0x94b480 | 0x100 |
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+ | 57 | blk.6.ffn_down.weight | 0x94b580 | 0x8000 |
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+ | 58 | blk.6.ffn_gate.weight | 0x953580 | 0x8000 |
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+ | 59 | blk.6.ffn_up.weight | 0x95b580 | 0x8000 |
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+ | 60 | blk.6.ffn_norm.weight | 0x963580 | 0x100 |
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+ | 61 | blk.6.attn_k.weight | 0x963680 | 0x2000 |
133
+ | 62 | blk.6.attn_output.weight | 0x965680 | 0x2000 |
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+ | 63 | blk.6.attn_q.weight | 0x967680 | 0x2000 |
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+ | 64 | blk.6.attn_v.weight | 0x969680 | 0x2000 |
136
+ | 65 | blk.7.attn_norm.weight | 0x96b680 | 0x100 |
137
+ | 66 | blk.7.ffn_down.weight | 0x96b780 | 0x8000 |
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+ | 67 | blk.7.ffn_gate.weight | 0x973780 | 0x8000 |
139
+ | 68 | blk.7.ffn_up.weight | 0x97b780 | 0x8000 |
140
+ | 69 | blk.7.ffn_norm.weight | 0x983780 | 0x100 |
141
+ | 70 | blk.7.attn_k.weight | 0x983880 | 0x2000 |
142
+ | 71 | blk.7.attn_output.weight | 0x985880 | 0x2000 |
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+ | 72 | blk.7.attn_q.weight | 0x987880 | 0x2000 |
144
+ | 73 | blk.7.attn_v.weight | 0x989880 | 0x2000 |
145
+ | 74 | output_norm.weight | 0x98b880 | 0x100 |
146
 
147
  ### <a name="base">Base Tensor Group : ~4M Elements</a>
148
 
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llamafile-creation.sh CHANGED
@@ -6,7 +6,7 @@ METADATA_FILE="maykeye_tinyllama-metadata.json"
6
  ###############################################################################
7
  # Pull both model folder, llamafile (for the engine) and llama.cpp (for the conversion script)
8
  echo == Prep Enviroment ==
9
- #git submodule update --init
10
 
11
  ###############################################################################
12
  echo == Build and prep the llamafile engine execuable ==
 
6
  ###############################################################################
7
  # Pull both model folder, llamafile (for the engine) and llama.cpp (for the conversion script)
8
  echo == Prep Enviroment ==
9
+ git submodule update --init
10
 
11
  ###############################################################################
12
  echo == Build and prep the llamafile engine execuable ==
maykeye_tinyllama-metadata.json CHANGED
@@ -4,12 +4,13 @@
4
  "general.author": "Maykeye",
5
  "general.quantized_by": "Mofosyne",
6
  "general.url": "https://huggingface.co/mofosyne/TinyLLama-v0-llamafile",
 
7
  "general.description": "This gguf is ported from a first version of Maykeye attempt at recreating roneneldan/TinyStories-1M but using Llama architecture",
8
  "general.license": "apache-2.0",
9
- "general.license_name": "Apache License Version 2.0, January 2004",
10
- "general.license_link": "https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md",
11
  "general.source.url": "https://huggingface.co/Maykeye/TinyLLama-v0",
12
- "general.source.source_repo_url": "https://huggingface.co/Maykeye/TinyLLama-v0",
13
  "general.tags": ["text generation", "transformer", "llama", "tiny", "tiny model"],
14
  "general.languages": ["en"],
15
  "general.datasets": ["https://huggingface.co/datasets/roneneldan/TinyStories/blob/main/TinyStoriesV2-GPT4-train.txt", "https://huggingface.co/datasets/roneneldan/TinyStories/blob/main/TinyStoriesV2-GPT4-valid.txt"]
 
4
  "general.author": "Maykeye",
5
  "general.quantized_by": "Mofosyne",
6
  "general.url": "https://huggingface.co/mofosyne/TinyLLama-v0-llamafile",
7
+ "general.repo_url": "https://huggingface.co/mofosyne/TinyLLama-v0-llamafile",
8
  "general.description": "This gguf is ported from a first version of Maykeye attempt at recreating roneneldan/TinyStories-1M but using Llama architecture",
9
  "general.license": "apache-2.0",
10
+ "general.license.name": "Apache License Version 2.0, January 2004",
11
+ "general.license.link": "https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md",
12
  "general.source.url": "https://huggingface.co/Maykeye/TinyLLama-v0",
13
+ "general.source.repo_url": "https://huggingface.co/Maykeye/TinyLLama-v0",
14
  "general.tags": ["text generation", "transformer", "llama", "tiny", "tiny model"],
15
  "general.languages": ["en"],
16
  "general.datasets": ["https://huggingface.co/datasets/roneneldan/TinyStories/blob/main/TinyStoriesV2-GPT4-train.txt", "https://huggingface.co/datasets/roneneldan/TinyStories/blob/main/TinyStoriesV2-GPT4-valid.txt"]