Text Generation
Japanese
M5Stack Module LLM
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  1. .gitattributes +29 -0
  2. TinySwallow-1.5B-Instruct-ax630c/added_tokens.json +24 -0
  3. TinySwallow-1.5B-Instruct-ax630c/generation_config.json +14 -0
  4. TinySwallow-1.5B-Instruct-ax630c/model.embed_tokens.weight.bfloat16.bin +3 -0
  5. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l0_together.axmodel +3 -0
  6. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l10_together.axmodel +3 -0
  7. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l11_together.axmodel +3 -0
  8. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l12_together.axmodel +3 -0
  9. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l13_together.axmodel +3 -0
  10. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l14_together.axmodel +3 -0
  11. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l15_together.axmodel +3 -0
  12. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l16_together.axmodel +3 -0
  13. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l17_together.axmodel +3 -0
  14. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l18_together.axmodel +3 -0
  15. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l19_together.axmodel +3 -0
  16. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l1_together.axmodel +3 -0
  17. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l20_together.axmodel +3 -0
  18. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l21_together.axmodel +3 -0
  19. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l22_together.axmodel +3 -0
  20. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l23_together.axmodel +3 -0
  21. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l24_together.axmodel +3 -0
  22. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l25_together.axmodel +3 -0
  23. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l26_together.axmodel +3 -0
  24. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l27_together.axmodel +3 -0
  25. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l2_together.axmodel +3 -0
  26. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l3_together.axmodel +3 -0
  27. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l4_together.axmodel +3 -0
  28. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l5_together.axmodel +3 -0
  29. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l6_together.axmodel +3 -0
  30. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l7_together.axmodel +3 -0
  31. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l8_together.axmodel +3 -0
  32. TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l9_together.axmodel +3 -0
  33. TinySwallow-1.5B-Instruct-ax630c/qwen2_post.axmodel +3 -0
  34. TinySwallow-1.5B-Instruct-ax630c/special_tokens_map.json +31 -0
  35. TinySwallow-1.5B-Instruct-ax630c/tokenizer.json +0 -0
  36. TinySwallow-1.5B-Instruct-ax630c/tokenizer_config.json +207 -0
  37. TinySwallow-1.5B-Instruct-ax630c/vocab.json +0 -0
  38. run_TinySwallow_1.5B_prefill_ax630c.sh +14 -0
  39. tinyswallow_tokenizer.py +120 -0
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+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
TinySwallow-1.5B-Instruct-ax630c/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
TinySwallow-1.5B-Instruct-ax630c/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'あなたは、Sakana AI株式会社が開発したTinySwallowです。小型ながら、誠実で優秀なアシスタントです。' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nあなたは、Sakana AI株式会社が開発したTinySwallowです。小型ながら、誠実で優秀なアシスタントです。<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
TinySwallow-1.5B-Instruct-ax630c/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
run_TinySwallow_1.5B_prefill_ax630c.sh ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ./main_prefill \
2
+ --template_filename_axmodel "TinySwallow-1.5B-Instruct-ax630c/qwen2_p128_l%d_together.axmodel" \
3
+ --axmodel_num 28 \
4
+ --tokenizer_type 2 \
5
+ --filename_tokenizer_model "http://localhost:8080" \
6
+ --bos 0 --eos 0 \
7
+ --filename_post_axmodel "TinySwallow-1.5B-Instruct-ax630c/qwen2_post.axmodel" \
8
+ --filename_tokens_embed "TinySwallow-1.5B-Instruct-ax630c/model.embed_tokens.weight.bfloat16.bin" \
9
+ --tokens_embed_num 151936 \
10
+ --tokens_embed_size 1536 \
11
+ --use_mmap_load_embed 1 \
12
+ --live_print 1 \
13
+ --continue 1 \
14
+ --prompt "$1"
tinyswallow_tokenizer.py ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # license: bsd-3-clause
2
+ # origin: https://huggingface.co/AXERA-TECH/DeepSeek-R1-Distill-Qwen-1.5B/blob/main/deepseek-r1_tokenizer.py
3
+
4
+ from transformers import AutoTokenizer
5
+ from http.server import HTTPServer, BaseHTTPRequestHandler
6
+ import json
7
+ import argparse
8
+
9
+
10
+ class Tokenizer_Http:
11
+ def __init__(self):
12
+ model_id = "TinySwallow-1.5B-Instruct-ax630c"
13
+ self.tokenizer = AutoTokenizer.from_pretrained(model_id)
14
+
15
+ def encode(self, prompt):
16
+ messages = [
17
+ {"role": "system", "content": "あなたは、Sakana AI株式会社が開発したTinySwallowです。小型ながら、誠実で優秀なアシスタントです。"},
18
+ {"role": "user", "content": prompt}
19
+ ]
20
+ text = self.tokenizer.apply_chat_template(
21
+ messages,
22
+ tokenize=False,
23
+ add_generation_prompt=True
24
+ )
25
+ print(text)
26
+ token_ids = self.tokenizer.encode(text)
27
+ return token_ids
28
+
29
+ def decode(self, token_ids):
30
+ return self.tokenizer.decode(token_ids)
31
+
32
+ @property
33
+ def bos_id(self):
34
+ return self.tokenizer.bos_token_id
35
+
36
+ @property
37
+ def eos_id(self):
38
+ return self.tokenizer.eos_token_id
39
+
40
+ @property
41
+ def bos_token(self):
42
+ return self.tokenizer.bos_token
43
+
44
+ @property
45
+ def eos_token(self):
46
+ return self.tokenizer.eos_token
47
+
48
+
49
+ tokenizer = Tokenizer_Http()
50
+
51
+ print(tokenizer.bos_id, tokenizer.bos_token, tokenizer.eos_id, tokenizer.eos_token)
52
+ print(tokenizer.encode("hello world"))
53
+
54
+
55
+ class Request(BaseHTTPRequestHandler):
56
+ timeout = 5
57
+ server_version = 'Apache'
58
+
59
+ def _set_headers(self):
60
+ self.send_response(200)
61
+ self.send_header("Content-Type", "application/json; charset=utf-8")
62
+ self.end_headers()
63
+
64
+ def do_GET(self):
65
+ print(self.path)
66
+ self._set_headers()
67
+
68
+ if self.path == '/bos_id':
69
+ bos_id = tokenizer.bos_id
70
+ msg = json.dumps({'bos_id': bos_id if bos_id is not None else -1}, ensure_ascii=False)
71
+ elif self.path == '/eos_id':
72
+ eos_id = tokenizer.eos_id
73
+ msg = json.dumps({'eos_id': eos_id if eos_id is not None else -1}, ensure_ascii=False)
74
+ else:
75
+ msg = json.dumps({'error': 'Invalid path'}, ensure_ascii=False)
76
+
77
+ print(msg)
78
+ self.wfile.write(msg.encode('utf-8'))
79
+
80
+ def do_POST(self):
81
+ content_length = int(self.headers['Content-Length'])
82
+ data = self.rfile.read(content_length).decode('utf-8')
83
+
84
+ self._set_headers()
85
+
86
+ try:
87
+ req = json.loads(data)
88
+ except json.JSONDecodeError:
89
+ msg = json.dumps({'error': 'Invalid JSON'}, ensure_ascii=False)
90
+ self.wfile.write(msg.encode('utf-8'))
91
+ return
92
+
93
+ if self.path == '/encode':
94
+ prompt = req.get('text', '')
95
+ token_ids = tokenizer.encode(prompt)
96
+ msg = json.dumps({'token_ids': token_ids if token_ids else -1}, ensure_ascii=False)
97
+
98
+ elif self.path == '/decode':
99
+ token_ids = req.get('token_ids', [])
100
+ text = tokenizer.decode(token_ids)
101
+ msg = json.dumps({'text': text if text else ""}, ensure_ascii=False)
102
+
103
+ else:
104
+ msg = json.dumps({'error': 'Invalid path'}, ensure_ascii=False)
105
+
106
+ print(msg)
107
+ self.wfile.write(msg.encode('utf-8'))
108
+
109
+
110
+ if __name__ == "__main__":
111
+ parser = argparse.ArgumentParser()
112
+ parser.add_argument('--host', type=str, default='localhost')
113
+ parser.add_argument('--port', type=int, default=8080)
114
+ args = parser.parse_args()
115
+
116
+ host = (args.host, args.port)
117
+ print(f'http://{host[0]}:{host[1]}')
118
+ server = HTTPServer(host, Request)
119
+ server.serve_forever()
120
+