new_model_version_granite_3.3 (#5)
Browse files- granite3.3 (345c9a7b3bc31ffc84f248152d17cfb85bb0857f)
- remove files (a479d88db01fb3c464d8b1c102ece9d5dda2d88c)
- config.json +20 -14
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- preprocessor_config.json +137 -136
- special_tokens_map.json +35 -35
- tokenizer_config.json +207 -206
config.json
CHANGED
@@ -1,11 +1,11 @@
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{
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"_name_or_path": "ibm-granite/granite-vision-3.
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"
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"auto_map": {
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"architectures": [
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"ColGraniteVision"
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],
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@@ -122,29 +122,33 @@
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"image_token_index": 49155,
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"model_type": "colgranitevision",
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"multimodal_projector_bias": true,
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"projector_hidden_act": "gelu",
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"text_config": {
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"architectures": [
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"GraniteForCausalLM"
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"intermediate_size": 8192,
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"logits_scaling": 8,
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"max_position_embeddings":
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"model_type": "granite",
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"residual_multiplier": 0.22,
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"rms_norm_eps":
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"tie_word_embeddings": true,
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"torch_dtype": "
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"vocab_size": 49156
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"tie_word_embeddings": true,
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@@ -152,15 +156,17 @@
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"transformers_version": "4.50.0.dev0",
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"use_image_newline_parameter": true,
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"vision_config": {
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1152,
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"layer_norm_eps":
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"model_type": "siglip_vision_model",
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"num_attention_heads": 16,
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"num_hidden_layers": 27,
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"patch_size": 14
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},
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"vision_feature_layer": [
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-24,
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],
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"vision_feature_select_strategy": "full"
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}
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{
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"_name_or_path": "ibm-granite/granite-vision-3.3-2b",
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"adapter_path": null,
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"auto_map": {
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"AutoModel": "modeling_colgranitevision.ColGraniteVision",
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"AutoProcessor": "processing_colgranitevision.ColGraniteVisionProcessor",
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"AutoConfig": "colgranitevision_config.ColGraniteVisionConfig"
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},
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"architectures": [
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"ColGraniteVision"
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"image_token_index": 49155,
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"model_type": "colgranitevision",
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"multimodal_projector_bias": true,
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"pretrained_language_model": "",
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"pretrained_vision_tower": "",
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"projector_hidden_act": "gelu",
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"text_config": {
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"_attn_implementation_autoset": true,
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"_name_or_path": "ibm-granite/granite-3.1-2b-instruct",
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"architectures": [
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"GraniteForCausalLM"
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"attention_dropout": 0.1,
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"attention_multiplier": 0.015625,
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"hidden_size": 2048,
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"intermediate_size": 8192,
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"logits_scaling": 8.0,
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"max_position_embeddings": 131072,
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"model_type": "granite",
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"num_hidden_layers": 40,
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"rms_norm_eps": 1e-05,
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"torch_dtype": "float32",
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"vocab_size": 49156
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"transformers_version": "4.50.0.dev0",
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"use_image_newline_parameter": true,
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"vision_config": {
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"_attn_implementation_autoset": true,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1152,
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"layer_norm_eps": 1e-06,
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preprocessor_config.json
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special_tokens_map.json
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{
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tokenizer_config.json
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"single_word": false,
|
11 |
-
"special": true
|
12 |
-
},
|
13 |
-
"1": {
|
14 |
-
"content": "<fim_prefix>",
|
15 |
-
"lstrip": false,
|
16 |
-
"normalized": false,
|
17 |
-
"rstrip": false,
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18 |
-
"single_word": false,
|
19 |
-
"special": true
|
20 |
-
},
|
21 |
-
"2": {
|
22 |
-
"content": "<fim_middle>",
|
23 |
-
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|
24 |
-
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|
25 |
-
"rstrip": false,
|
26 |
-
"single_word": false,
|
27 |
-
"special": true
|
28 |
-
},
|
29 |
-
"3": {
|
30 |
-
"content": "<fim_suffix>",
|
31 |
-
"lstrip": false,
|
32 |
-
"normalized": false,
|
33 |
-
"rstrip": false,
|
34 |
-
"single_word": false,
|
35 |
-
"special": true
|
36 |
-
},
|
37 |
-
"4": {
|
38 |
-
"content": "<fim_pad>",
|
39 |
-
"lstrip": false,
|
40 |
-
"normalized": false,
|
41 |
-
"rstrip": false,
|
42 |
-
"single_word": false,
|
43 |
-
"special": true
|
44 |
-
},
|
45 |
-
"5": {
|
46 |
-
"content": "<filename>",
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47 |
-
"lstrip": false,
|
48 |
-
"normalized": false,
|
49 |
-
"rstrip": false,
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50 |
-
"single_word": false,
|
51 |
-
"special": true
|
52 |
-
},
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53 |
-
"6": {
|
54 |
-
"content": "<gh_stars>",
|
55 |
-
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|
56 |
-
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|
57 |
-
"rstrip": false,
|
58 |
-
"single_word": false,
|
59 |
-
"special": true
|
60 |
-
},
|
61 |
-
"7": {
|
62 |
-
"content": "<issue_start>",
|
63 |
-
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|
64 |
-
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|
65 |
-
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66 |
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|
67 |
-
"special": true
|
68 |
-
},
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69 |
-
"8": {
|
70 |
-
"content": "<issue_comment>",
|
71 |
-
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|
72 |
-
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|
73 |
-
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74 |
-
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|
75 |
-
"special": true
|
76 |
-
},
|
77 |
-
"9": {
|
78 |
-
"content": "<issue_closed>",
|
79 |
-
"lstrip": false,
|
80 |
-
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|
81 |
-
"rstrip": false,
|
82 |
-
"single_word": false,
|
83 |
-
"special": true
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84 |
-
},
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85 |
-
"10": {
|
86 |
-
"content": "<jupyter_start>",
|
87 |
-
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88 |
-
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89 |
-
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90 |
-
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|
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-
"special": true
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92 |
-
},
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-
"11": {
|
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-
"content": "<jupyter_text>",
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-
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-
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-
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-
"special": true
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100 |
-
},
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101 |
-
"12": {
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102 |
-
"content": "<jupyter_code>",
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103 |
-
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104 |
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105 |
-
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106 |
-
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107 |
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"special": true
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108 |
-
},
|
109 |
-
"13": {
|
110 |
-
"content": "<jupyter_output>",
|
111 |
-
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|
112 |
-
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113 |
-
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114 |
-
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|
115 |
-
"special": true
|
116 |
-
},
|
117 |
-
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|
118 |
-
"content": "<empty_output>",
|
119 |
-
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|
120 |
-
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|
121 |
-
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|
122 |
-
"single_word": false,
|
123 |
-
"special": true
|
124 |
-
},
|
125 |
-
"15": {
|
126 |
-
"content": "<commit_before>",
|
127 |
-
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128 |
-
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|
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-
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|
130 |
-
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|
131 |
-
"special": true
|
132 |
-
},
|
133 |
-
"16": {
|
134 |
-
"content": "<commit_msg>",
|
135 |
-
"lstrip": false,
|
136 |
-
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|
137 |
-
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|
138 |
-
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|
139 |
-
"special": true
|
140 |
-
},
|
141 |
-
"17": {
|
142 |
-
"content": "<commit_after>",
|
143 |
-
"lstrip": false,
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144 |
-
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|
145 |
-
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146 |
-
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147 |
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|
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-
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150 |
-
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-
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-
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-
},
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157 |
-
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|
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|
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160 |
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-
"special": true
|
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-
},
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165 |
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|
166 |
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"content": "<|end_of_role|>",
|
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-
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-
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"special": true
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-
},
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173 |
-
"49154": {
|
174 |
-
"content": "<|tool_call|>",
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-
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-
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-
"special": true
|
180 |
-
},
|
181 |
-
"49155": {
|
182 |
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"content": "<image>",
|
183 |
-
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|
184 |
-
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|
185 |
-
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186 |
-
"single_word": false,
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-
"special": true
|
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}
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},
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190 |
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|
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"<|tool_call|>"
|
194 |
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],
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195 |
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196 |
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"chat_template": "{%- if tools %}\n {{- '<|start_of_role|>available_tools<|end_of_role|>\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) }}\n {%- if not loop.last %}\n {{- '\n\n' }}\n {%- endif %}\n {%- endfor %}\n {{- '<|end_of_text|>\n' }}\n{%- endif %}\n{%- for message in messages if message['role'] == 'system'%}{% else %}<|system|>\nA chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n{% endfor %}{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n {{- '<|system|>\n' + message['content'] + '\n' }}\n {%- elif message['role'] == 'user' %}\n {{- '<|user|>\n' + message['content'] + '\n' }}\n {%- elif message['role'] == 'assistant' %}\n {{- '<|assistant|>\n' + message['content'] + '<|end_of_text|>' }}\n {%- elif message['role'] == 'assistant_tool_call' %}\n {{- '<|start_of_role|>assistant<|end_of_role|><|tool_call|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'tool_response' %}\n {{- '<|start_of_role|>tool_response<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- endif %}\n {%- if loop.last and add_generation_prompt %}\n {{- '<|assistant|>\n' }}\n {%- endif %}\n{%- endfor %}",
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"
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"
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"
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"
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"
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"
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205 |
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"
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206 |
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|
|
|
207 |
}
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1 |
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{
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},
|
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"content": "<fim_suffix>",
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31 |
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32 |
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34 |
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35 |
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},
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+
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|
42 |
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|
43 |
+
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},
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145 |
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146 |
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147 |
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148 |
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},
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149 |
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150 |
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151 |
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152 |
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154 |
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155 |
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156 |
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},
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157 |
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|
158 |
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|
159 |
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160 |
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161 |
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|
162 |
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165 |
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|
166 |
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175 |
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176 |
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177 |
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|
178 |
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|
179 |
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|
180 |
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},
|
181 |
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|
182 |
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"content": "<image>",
|
183 |
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|
184 |
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|
185 |
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|
186 |
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|
187 |
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|
188 |
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}
|
189 |
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},
|
190 |
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"additional_special_tokens": [
|
191 |
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"<|start_of_role|>",
|
192 |
+
"<|end_of_role|>",
|
193 |
+
"<|tool_call|>"
|
194 |
+
],
|
195 |
+
"bos_token": "<|end_of_text|>",
|
196 |
+
"chat_template": "{%- if tools %}\n {{- '<|start_of_role|>available_tools<|end_of_role|>\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) }}\n {%- if not loop.last %}\n {{- '\n\n' }}\n {%- endif %}\n {%- endfor %}\n {{- '<|end_of_text|>\n' }}\n{%- endif %}\n{%- for message in messages if message['role'] == 'system'%}{% else %}<|system|>\nA chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n{% endfor %}{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n {{- '<|system|>\n' + message['content'] + '\n' }}\n {%- elif message['role'] == 'user' %}\n {{- '<|user|>\n' + message['content'] + '\n' }}\n {%- elif message['role'] == 'assistant' %}\n {{- '<|assistant|>\n' + message['content'] + '<|end_of_text|>' }}\n {%- elif message['role'] == 'assistant_tool_call' %}\n {{- '<|start_of_role|>assistant<|end_of_role|><|tool_call|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'tool_response' %}\n {{- '<|start_of_role|>tool_response<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- endif %}\n {%- if loop.last and add_generation_prompt %}\n {{- '<|assistant|>\n' }}\n {%- endif %}\n{%- endfor %}",
|
197 |
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|
198 |
+
"do_image_splitting": false,
|
199 |
+
"eos_token": "<|end_of_text|>",
|
200 |
+
"errors": "replace",
|
201 |
+
"extra_special_tokens": {},
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|end_of_text|>",
|
204 |
+
"padding_side": "right",
|
205 |
+
"tokenizer_class": "GPT2Tokenizer",
|
206 |
+
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|
207 |
+
"vocab_size": 49152
|
208 |
}
|