AlexNG01 commited on
Commit
00c025a
·
verified ·
1 Parent(s): a802515

Upload model trained with Unsloth

Browse files

Upload model trained with Unsloth 2x faster

Files changed (2) hide show
  1. README.md +200 -0
  2. tokenizer_config.json +2 -3
README.md ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags:
4
+ - unsloth
5
+ ---
6
+
7
+ # Model Card for Model ID
8
+
9
+ <!-- Provide a quick summary of what the model is/does. -->
10
+
11
+
12
+
13
+ ## Model Details
14
+
15
+ ### Model Description
16
+
17
+ <!-- Provide a longer summary of what this model is. -->
18
+
19
+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
20
+
21
+ - **Developed by:** [More Information Needed]
22
+ - **Funded by [optional]:** [More Information Needed]
23
+ - **Shared by [optional]:** [More Information Needed]
24
+ - **Model type:** [More Information Needed]
25
+ - **Language(s) (NLP):** [More Information Needed]
26
+ - **License:** [More Information Needed]
27
+ - **Finetuned from model [optional]:** [More Information Needed]
28
+
29
+ ### Model Sources [optional]
30
+
31
+ <!-- Provide the basic links for the model. -->
32
+
33
+ - **Repository:** [More Information Needed]
34
+ - **Paper [optional]:** [More Information Needed]
35
+ - **Demo [optional]:** [More Information Needed]
36
+
37
+ ## Uses
38
+
39
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
40
+
41
+ ### Direct Use
42
+
43
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
44
+
45
+ [More Information Needed]
46
+
47
+ ### Downstream Use [optional]
48
+
49
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
50
+
51
+ [More Information Needed]
52
+
53
+ ### Out-of-Scope Use
54
+
55
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
56
+
57
+ [More Information Needed]
58
+
59
+ ## Bias, Risks, and Limitations
60
+
61
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
62
+
63
+ [More Information Needed]
64
+
65
+ ### Recommendations
66
+
67
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
68
+
69
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
70
+
71
+ ## How to Get Started with the Model
72
+
73
+ Use the code below to get started with the model.
74
+
75
+ [More Information Needed]
76
+
77
+ ## Training Details
78
+
79
+ ### Training Data
80
+
81
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
82
+
83
+ [More Information Needed]
84
+
85
+ ### Training Procedure
86
+
87
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
88
+
89
+ #### Preprocessing [optional]
90
+
91
+ [More Information Needed]
92
+
93
+
94
+ #### Training Hyperparameters
95
+
96
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
97
+
98
+ #### Speeds, Sizes, Times [optional]
99
+
100
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
101
+
102
+ [More Information Needed]
103
+
104
+ ## Evaluation
105
+
106
+ <!-- This section describes the evaluation protocols and provides the results. -->
107
+
108
+ ### Testing Data, Factors & Metrics
109
+
110
+ #### Testing Data
111
+
112
+ <!-- This should link to a Dataset Card if possible. -->
113
+
114
+ [More Information Needed]
115
+
116
+ #### Factors
117
+
118
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
119
+
120
+ [More Information Needed]
121
+
122
+ #### Metrics
123
+
124
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
125
+
126
+ [More Information Needed]
127
+
128
+ ### Results
129
+
130
+ [More Information Needed]
131
+
132
+ #### Summary
133
+
134
+
135
+
136
+ ## Model Examination [optional]
137
+
138
+ <!-- Relevant interpretability work for the model goes here -->
139
+
140
+ [More Information Needed]
141
+
142
+ ## Environmental Impact
143
+
144
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
145
+
146
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
147
+
148
+ - **Hardware Type:** [More Information Needed]
149
+ - **Hours used:** [More Information Needed]
150
+ - **Cloud Provider:** [More Information Needed]
151
+ - **Compute Region:** [More Information Needed]
152
+ - **Carbon Emitted:** [More Information Needed]
153
+
154
+ ## Technical Specifications [optional]
155
+
156
+ ### Model Architecture and Objective
157
+
158
+ [More Information Needed]
159
+
160
+ ### Compute Infrastructure
161
+
162
+ [More Information Needed]
163
+
164
+ #### Hardware
165
+
166
+ [More Information Needed]
167
+
168
+ #### Software
169
+
170
+ [More Information Needed]
171
+
172
+ ## Citation [optional]
173
+
174
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
175
+
176
+ **BibTeX:**
177
+
178
+ [More Information Needed]
179
+
180
+ **APA:**
181
+
182
+ [More Information Needed]
183
+
184
+ ## Glossary [optional]
185
+
186
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
187
+
188
+ [More Information Needed]
189
+
190
+ ## More Information [optional]
191
+
192
+ [More Information Needed]
193
+
194
+ ## Model Card Authors [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Contact
199
+
200
+ [More Information Needed]
tokenizer_config.json CHANGED
@@ -237,6 +237,5 @@
237
  "padding_side": "right",
238
  "split_special_tokens": false,
239
  "tokenizer_class": "Qwen2Tokenizer",
240
- "unk_token": null,
241
- "chat_template": "{%- set ns = namespace(last_query_index=-1) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {%- set ns.last_query_index = loop.index0 %}\n {%- endif %}\n{%- endfor %}\n{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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 {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set has_loss = (message.loss is defined and message.loss) %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if has_loss -%}\n {%- generation -%}\n {%- if loop.index0 > ns.last_query_index and reasoning_content %}\n {{- '<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>' }}\n {%- endgeneration -%}\n {{- '\\n' }}\n {%- else -%}\n {%- if loop.index0 > ns.last_query_index and reasoning_content %}\n {{- '<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- 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 %}"
242
- }
 
237
  "padding_side": "right",
238
  "split_special_tokens": false,
239
  "tokenizer_class": "Qwen2Tokenizer",
240
+ "unk_token": null
241
+ }