Hugging Face's logo

Ahmad-11
/
Reporter_Phi3Mini

Text Generation
Transformers
Safetensors
phi3
conversational
custom_code
text-generation-inference
Model card Files
xet
Community
Reporter_Phi3Mini
File size: 3,169 Bytes 
b1af576
 
901cd39
b1af576
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
901cd39
b1af576
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
 
{
  "add_bos_token": true,
  "add_eos_token": false,
  "added_tokens_decoder": {
    "0": {
      "content": "<unk>",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "1": {
      "content": "<s>",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "2": {
      "content": "</s>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": false
    },
    "32000": {
      "content": "<|endoftext|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "32001": {
      "content": "<|assistant|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32002": {
      "content": "<|placeholder1|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32003": {
      "content": "<|placeholder2|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32004": {
      "content": "<|placeholder3|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32005": {
      "content": "<|placeholder4|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32006": {
      "content": "<|system|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32007": {
      "content": "<|end|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32008": {
      "content": "<|placeholder5|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32009": {
      "content": "<|placeholder6|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    },
    "32010": {
      "content": "<|user|>",
      "lstrip": false,
      "normalized": false,
      "rstrip": true,
      "single_word": false,
      "special": true
    }
  },
  "bos_token": "<s>",
  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
  "clean_up_tokenization_spaces": false,
  "eos_token": "<|endoftext|>",
  "legacy": false,
  "model_max_length": 4096,
  "pad_token": "<|endoftext|>",
  "padding_side": "left",
  "sp_model_kwargs": {},
  "tokenizer_class": "LlamaTokenizer",
  "unk_token": "<unk>",
  "use_default_system_prompt": false
}