DazzlingXeno
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Browse files- README.md +39 -0
- config.json +29 -0
- mergekit_config.yml +6 -0
- model-00001-of-00015.safetensors +3 -0
- model-00002-of-00015.safetensors +3 -0
- model-00003-of-00015.safetensors +3 -0
- model-00004-of-00015.safetensors +3 -0
- model-00005-of-00015.safetensors +3 -0
- model-00006-of-00015.safetensors +3 -0
- model-00007-of-00015.safetensors +3 -0
- model-00008-of-00015.safetensors +3 -0
- model-00009-of-00015.safetensors +3 -0
- model-00010-of-00015.safetensors +3 -0
- model-00011-of-00015.safetensors +3 -0
- model-00012-of-00015.safetensors +3 -0
- model-00013-of-00015.safetensors +3 -0
- model-00014-of-00015.safetensors +3 -0
- model-00015-of-00015.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +1865 -0
README.md
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---
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base_model:
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- anthracite-org/magnum-v3-34b
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- 01-ai/Yi-1.5-34B-32K
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- TheSkullery/Y1.5-MS-Mysteria-34b
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [01-ai/Yi-1.5-34B-32K](https://huggingface.co/01-ai/Yi-1.5-34B-32K) as a base.
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### Models Merged
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The following models were included in the merge:
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* [anthracite-org/magnum-v3-34b](https://huggingface.co/anthracite-org/magnum-v3-34b)
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* [TheSkullery/Y1.5-MS-Mysteria-34b](https://huggingface.co/TheSkullery/Y1.5-MS-Mysteria-34b)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: TheSkullery/Y1.5-MS-Mysteria-34b
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- model: anthracite-org/magnum-v3-34b
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merge_method: model_stock
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base_model: 01-ai/Yi-1.5-34B-32K
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "01-ai/Yi-1.5-34B-32K",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 32768,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 60,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 5000000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.1",
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"use_cache": true,
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"vocab_size": 64000
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}
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mergekit_config.yml
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models:
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- model: TheSkullery/Y1.5-MS-Mysteria-34b
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- model: anthracite-org/magnum-v3-34b
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merge_method: model_stock
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base_model: 01-ai/Yi-1.5-34B-32K
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dtype: bfloat16
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model-00001-of-00015.safetensors
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|
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer.model
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tokenizer_config.json
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@@ -0,0 +1,1865 @@
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|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<|startoftext|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "<|endoftext|>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"6": {
|
31 |
+
"content": "<|im_start|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"7": {
|
39 |
+
"content": "<|im_end|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"8": {
|
47 |
+
"content": "<|im_sep|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"14": {
|
55 |
+
"content": "<fim_prefix>",
|
56 |
+
"lstrip": false,
|
57 |
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"normalized": false,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
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"15": {
|
63 |
+
"content": "<fim_middle>",
|
64 |
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"lstrip": false,
|
65 |
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"normalized": false,
|
66 |
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"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
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"special": true
|
69 |
+
},
|
70 |
+
"16": {
|
71 |
+
"content": "<fim_suffix>",
|
72 |
+
"lstrip": false,
|
73 |
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"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
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"17": {
|
79 |
+
"content": "<fim_pad>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"18": {
|
87 |
+
"content": "<filename>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
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"special": true
|
93 |
+
},
|
94 |
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"19": {
|
95 |
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"content": "<gh_stars>",
|
96 |
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"lstrip": false,
|
97 |
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"normalized": false,
|
98 |
+
"rstrip": false,
|
99 |
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"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
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"20": {
|
103 |
+
"content": "<issue_start>",
|
104 |
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"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
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"21": {
|
111 |
+
"content": "<issue_comment>",
|
112 |
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"lstrip": false,
|
113 |
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"normalized": false,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
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"22": {
|
119 |
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"content": "<issue_closed>",
|
120 |
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"lstrip": false,
|
121 |
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"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
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"single_word": false,
|
124 |
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"special": true
|
125 |
+
},
|
126 |
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"23": {
|
127 |
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"content": "<jupyter_start>",
|
128 |
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"lstrip": false,
|
129 |
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"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
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"single_word": false,
|
132 |
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"special": true
|
133 |
+
},
|
134 |
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"24": {
|
135 |
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"content": "<jupyter_text>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
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