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  1. .gitattributes +7 -0
  2. README.md +40 -187
  3. adapter_model.safetensors +1 -1
  4. checkpoint-1040/README.md +209 -0
  5. checkpoint-1040/adapter_config.json +42 -0
  6. checkpoint-1040/adapter_model.safetensors +3 -0
  7. checkpoint-1040/added_tokens.json +24 -0
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  13. checkpoint-1040/scaler.pt +3 -0
  14. checkpoint-1040/scheduler.pt +3 -0
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  16. checkpoint-1040/tokenizer.json +3 -0
  17. checkpoint-1040/tokenizer_config.json +207 -0
  18. checkpoint-1040/trainer_state.json +453 -0
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  21. checkpoint-1248/README.md +209 -0
  22. checkpoint-1248/adapter_config.json +42 -0
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  29. checkpoint-1248/rng_state_1.pth +3 -0
  30. checkpoint-1248/scaler.pt +3 -0
  31. checkpoint-1248/scheduler.pt +3 -0
  32. checkpoint-1248/special_tokens_map.json +25 -0
  33. checkpoint-1248/tokenizer.json +3 -0
  34. checkpoint-1248/tokenizer_config.json +207 -0
  35. checkpoint-1248/trainer_state.json +535 -0
  36. checkpoint-1248/training_args.bin +3 -0
  37. checkpoint-1248/vocab.json +0 -0
  38. checkpoint-1456/README.md +209 -0
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  40. checkpoint-1456/adapter_model.safetensors +3 -0
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  47. checkpoint-1456/scaler.pt +3 -0
  48. checkpoint-1456/scheduler.pt +3 -0
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.gitattributes CHANGED
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README.md CHANGED
@@ -1,209 +1,62 @@
1
  ---
2
  base_model: Qwen/Qwen2.5-7B-Instruct
3
  library_name: peft
4
- pipeline_tag: text-generation
5
  tags:
6
  - base_model:adapter:Qwen/Qwen2.5-7B-Instruct
7
  - lora
8
  - sft
9
  - transformers
10
  - trl
 
 
11
  ---
12
 
13
- # Model Card for Model ID
14
-
15
- <!-- Provide a quick summary of what the model is/does. -->
16
-
17
-
18
-
19
- ## Model Details
20
-
21
- ### Model Description
22
-
23
- <!-- Provide a longer summary of what this model is. -->
24
-
25
-
26
-
27
- - **Developed by:** [More Information Needed]
28
- - **Funded by [optional]:** [More Information Needed]
29
- - **Shared by [optional]:** [More Information Needed]
30
- - **Model type:** [More Information Needed]
31
- - **Language(s) (NLP):** [More Information Needed]
32
- - **License:** [More Information Needed]
33
- - **Finetuned from model [optional]:** [More Information Needed]
34
-
35
- ### Model Sources [optional]
36
-
37
- <!-- Provide the basic links for the model. -->
38
-
39
- - **Repository:** [More Information Needed]
40
- - **Paper [optional]:** [More Information Needed]
41
- - **Demo [optional]:** [More Information Needed]
42
-
43
- ## Uses
44
-
45
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
-
47
- ### Direct Use
48
-
49
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
-
51
- [More Information Needed]
52
-
53
- ### Downstream Use [optional]
54
-
55
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
-
57
- [More Information Needed]
58
-
59
- ### Out-of-Scope Use
60
-
61
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
-
63
- [More Information Needed]
64
-
65
- ## Bias, Risks, and Limitations
66
-
67
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
-
69
- [More Information Needed]
70
-
71
- ### Recommendations
72
-
73
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
-
75
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
-
77
- ## How to Get Started with the Model
78
-
79
- Use the code below to get started with the model.
80
-
81
- [More Information Needed]
82
-
83
- ## Training Details
84
-
85
- ### Training Data
86
-
87
- <!-- 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. -->
88
-
89
- [More Information Needed]
90
-
91
- ### Training Procedure
92
-
93
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
-
95
- #### Preprocessing [optional]
96
-
97
- [More Information Needed]
98
-
99
-
100
- #### Training Hyperparameters
101
-
102
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
-
104
- #### Speeds, Sizes, Times [optional]
105
-
106
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
-
108
- [More Information Needed]
109
-
110
- ## Evaluation
111
-
112
- <!-- This section describes the evaluation protocols and provides the results. -->
113
-
114
- ### Testing Data, Factors & Metrics
115
-
116
- #### Testing Data
117
-
118
- <!-- This should link to a Dataset Card if possible. -->
119
-
120
- [More Information Needed]
121
-
122
- #### Factors
123
-
124
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
-
126
- [More Information Needed]
127
-
128
- #### Metrics
129
-
130
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
-
132
- [More Information Needed]
133
-
134
- ### Results
135
-
136
- [More Information Needed]
137
-
138
- #### Summary
139
-
140
-
141
-
142
- ## Model Examination [optional]
143
-
144
- <!-- Relevant interpretability work for the model goes here -->
145
-
146
- [More Information Needed]
147
-
148
- ## Environmental Impact
149
-
150
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
-
152
- 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).
153
-
154
- - **Hardware Type:** [More Information Needed]
155
- - **Hours used:** [More Information Needed]
156
- - **Cloud Provider:** [More Information Needed]
157
- - **Compute Region:** [More Information Needed]
158
- - **Carbon Emitted:** [More Information Needed]
159
-
160
- ## Technical Specifications [optional]
161
-
162
- ### Model Architecture and Objective
163
-
164
- [More Information Needed]
165
-
166
- ### Compute Infrastructure
167
-
168
- [More Information Needed]
169
-
170
- #### Hardware
171
-
172
- [More Information Needed]
173
-
174
- #### Software
175
-
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- [More Information Needed]
177
-
178
- ## Citation [optional]
179
-
180
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
-
182
- **BibTeX:**
183
-
184
- [More Information Needed]
185
-
186
- **APA:**
187
-
188
- [More Information Needed]
189
 
190
- ## Glossary [optional]
 
191
 
192
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
 
194
- [More Information Needed]
 
195
 
196
- ## More Information [optional]
 
 
 
 
197
 
198
- [More Information Needed]
199
 
200
- ## Model Card Authors [optional]
201
 
202
- [More Information Needed]
203
 
204
- ## Model Card Contact
205
 
206
- [More Information Needed]
207
  ### Framework versions
208
 
209
- - PEFT 0.17.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  base_model: Qwen/Qwen2.5-7B-Instruct
3
  library_name: peft
4
+ model_name: foamqwen
5
  tags:
6
  - base_model:adapter:Qwen/Qwen2.5-7B-Instruct
7
  - lora
8
  - sft
9
  - transformers
10
  - trl
11
+ licence: license
12
+ pipeline_tag: text-generation
13
  ---
14
 
15
+ # Model Card for foamqwen
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16
 
17
+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
18
+ It has been trained using [TRL](https://github.com/huggingface/trl).
19
 
20
+ ## Quick start
21
 
22
+ ```python
23
+ from transformers import pipeline
24
 
25
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
26
+ generator = pipeline("text-generation", model="None", device="cuda")
27
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
28
+ print(output["generated_text"])
29
+ ```
30
 
31
+ ## Training procedure
32
 
33
+
34
 
 
35
 
36
+ This model was trained with SFT.
37
 
 
38
  ### Framework versions
39
 
40
+ - PEFT 0.17.0
41
+ - TRL: 0.19.0
42
+ - Transformers: 4.52.3
43
+ - Pytorch: 2.7.0
44
+ - Datasets: 4.4.1
45
+ - Tokenizers: 0.21.4
46
+
47
+ ## Citations
48
+
49
+
50
+
51
+ Cite TRL as:
52
+
53
+ ```bibtex
54
+ @misc{vonwerra2022trl,
55
+ title = {{TRL: Transformer Reinforcement Learning}},
56
+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
57
+ year = 2020,
58
+ journal = {GitHub repository},
59
+ publisher = {GitHub},
60
+ howpublished = {\url{https://github.com/huggingface/trl}}
61
+ }
62
+ ```
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1
+ ---
2
+ base_model: Qwen/Qwen2.5-7B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen2.5-7B-Instruct
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ ---
12
+
13
+ # Model Card for Model ID
14
+
15
+ <!-- Provide a quick summary of what the model is/does. -->
16
+
17
+
18
+
19
+ ## Model Details
20
+
21
+ ### Model Description
22
+
23
+ <!-- Provide a longer summary of what this model is. -->
24
+
25
+
26
+
27
+ - **Developed by:** [More Information Needed]
28
+ - **Funded by [optional]:** [More Information Needed]
29
+ - **Shared by [optional]:** [More Information Needed]
30
+ - **Model type:** [More Information Needed]
31
+ - **Language(s) (NLP):** [More Information Needed]
32
+ - **License:** [More Information Needed]
33
+ - **Finetuned from model [optional]:** [More Information Needed]
34
+
35
+ ### Model Sources [optional]
36
+
37
+ <!-- Provide the basic links for the model. -->
38
+
39
+ - **Repository:** [More Information Needed]
40
+ - **Paper [optional]:** [More Information Needed]
41
+ - **Demo [optional]:** [More Information Needed]
42
+
43
+ ## Uses
44
+
45
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
+
47
+ ### Direct Use
48
+
49
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
+
51
+ [More Information Needed]
52
+
53
+ ### Downstream Use [optional]
54
+
55
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
+
57
+ [More Information Needed]
58
+
59
+ ### Out-of-Scope Use
60
+
61
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
+
63
+ [More Information Needed]
64
+
65
+ ## Bias, Risks, and Limitations
66
+
67
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
+
69
+ [More Information Needed]
70
+
71
+ ### Recommendations
72
+
73
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
+
75
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
+
77
+ ## How to Get Started with the Model
78
+
79
+ Use the code below to get started with the model.
80
+
81
+ [More Information Needed]
82
+
83
+ ## Training Details
84
+
85
+ ### Training Data
86
+
87
+ <!-- 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. -->
88
+
89
+ [More Information Needed]
90
+
91
+ ### Training Procedure
92
+
93
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
+
95
+ #### Preprocessing [optional]
96
+
97
+ [More Information Needed]
98
+
99
+
100
+ #### Training Hyperparameters
101
+
102
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
+
104
+ #### Speeds, Sizes, Times [optional]
105
+
106
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
+
108
+ [More Information Needed]
109
+
110
+ ## Evaluation
111
+
112
+ <!-- This section describes the evaluation protocols and provides the results. -->
113
+
114
+ ### Testing Data, Factors & Metrics
115
+
116
+ #### Testing Data
117
+
118
+ <!-- This should link to a Dataset Card if possible. -->
119
+
120
+ [More Information Needed]
121
+
122
+ #### Factors
123
+
124
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
+
126
+ [More Information Needed]
127
+
128
+ #### Metrics
129
+
130
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
+
132
+ [More Information Needed]
133
+
134
+ ### Results
135
+
136
+ [More Information Needed]
137
+
138
+ #### Summary
139
+
140
+
141
+
142
+ ## Model Examination [optional]
143
+
144
+ <!-- Relevant interpretability work for the model goes here -->
145
+
146
+ [More Information Needed]
147
+
148
+ ## Environmental Impact
149
+
150
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
+
152
+ 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).
153
+
154
+ - **Hardware Type:** [More Information Needed]
155
+ - **Hours used:** [More Information Needed]
156
+ - **Cloud Provider:** [More Information Needed]
157
+ - **Compute Region:** [More Information Needed]
158
+ - **Carbon Emitted:** [More Information Needed]
159
+
160
+ ## Technical Specifications [optional]
161
+
162
+ ### Model Architecture and Objective
163
+
164
+ [More Information Needed]
165
+
166
+ ### Compute Infrastructure
167
+
168
+ [More Information Needed]
169
+
170
+ #### Hardware
171
+
172
+ [More Information Needed]
173
+
174
+ #### Software
175
+
176
+ [More Information Needed]
177
+
178
+ ## Citation [optional]
179
+
180
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
+
182
+ **BibTeX:**
183
+
184
+ [More Information Needed]
185
+
186
+ **APA:**
187
+
188
+ [More Information Needed]
189
+
190
+ ## Glossary [optional]
191
+
192
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
+
194
+ [More Information Needed]
195
+
196
+ ## More Information [optional]
197
+
198
+ [More Information Needed]
199
+
200
+ ## Model Card Authors [optional]
201
+
202
+ [More Information Needed]
203
+
204
+ ## Model Card Contact
205
+
206
+ [More Information Needed]
207
+ ### Framework versions
208
+
209
+ - PEFT 0.17.0
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+ ---
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+ base_model: Qwen/Qwen2.5-7B-Instruct
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - base_model:adapter:Qwen/Qwen2.5-7B-Instruct
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+ - lora
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+ - sft
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+ - transformers
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+ - trl
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+ ---
12
+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+
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+ ### Model Description
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+ <!-- Provide a longer summary of what this model is. -->
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+ - **Developed by:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+ ### Model Sources [optional]
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+ - **Repository:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+ ### Out-of-Scope Use
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ [More Information Needed]
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+
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+ ### Recommendations
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- 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. -->
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
105
+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ [More Information Needed]
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+ ### Results
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+ [More Information Needed]
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+
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+ #### Summary
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ 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).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
167
+
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+ [More Information Needed]
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+ #### Hardware
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+ [More Information Needed]
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+ #### Software
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+ [More Information Needed]
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+ ## Citation [optional]
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+ **BibTeX:**
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+ [More Information Needed]
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+ **APA:**
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+ [More Information Needed]
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+ ## Glossary [optional]
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+ [More Information Needed]
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+ ## Model Card Authors [optional]
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+ [More Information Needed]
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+ ## Model Card Contact
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+ [More Information Needed]
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+ ### Framework versions
208
+
209
+ - PEFT 0.17.0
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+ ---
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+ base_model: Qwen/Qwen2.5-7B-Instruct
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - base_model:adapter:Qwen/Qwen2.5-7B-Instruct
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+ - lora
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+ - sft
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+ - transformers
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+ - trl
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+ ---
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+
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+ # Model Card for Model ID
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+
15
+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
33
+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
40
+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
45
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
61
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ [More Information Needed]
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+
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+ ### Recommendations
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
87
+ <!-- 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. -->
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+
89
+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
97
+ [More Information Needed]
98
+
99
+
100
+ #### Training Hyperparameters
101
+
102
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
+
104
+ #### Speeds, Sizes, Times [optional]
105
+
106
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
+
108
+ [More Information Needed]
109
+
110
+ ## Evaluation
111
+
112
+ <!-- This section describes the evaluation protocols and provides the results. -->
113
+
114
+ ### Testing Data, Factors & Metrics
115
+
116
+ #### Testing Data
117
+
118
+ <!-- This should link to a Dataset Card if possible. -->
119
+
120
+ [More Information Needed]
121
+
122
+ #### Factors
123
+
124
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
+
126
+ [More Information Needed]
127
+
128
+ #### Metrics
129
+
130
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
+
132
+ [More Information Needed]
133
+
134
+ ### Results
135
+
136
+ [More Information Needed]
137
+
138
+ #### Summary
139
+
140
+
141
+
142
+ ## Model Examination [optional]
143
+
144
+ <!-- Relevant interpretability work for the model goes here -->
145
+
146
+ [More Information Needed]
147
+
148
+ ## Environmental Impact
149
+
150
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
+
152
+ 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).
153
+
154
+ - **Hardware Type:** [More Information Needed]
155
+ - **Hours used:** [More Information Needed]
156
+ - **Cloud Provider:** [More Information Needed]
157
+ - **Compute Region:** [More Information Needed]
158
+ - **Carbon Emitted:** [More Information Needed]
159
+
160
+ ## Technical Specifications [optional]
161
+
162
+ ### Model Architecture and Objective
163
+
164
+ [More Information Needed]
165
+
166
+ ### Compute Infrastructure
167
+
168
+ [More Information Needed]
169
+
170
+ #### Hardware
171
+
172
+ [More Information Needed]
173
+
174
+ #### Software
175
+
176
+ [More Information Needed]
177
+
178
+ ## Citation [optional]
179
+
180
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
+
182
+ **BibTeX:**
183
+
184
+ [More Information Needed]
185
+
186
+ **APA:**
187
+
188
+ [More Information Needed]
189
+
190
+ ## Glossary [optional]
191
+
192
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
+
194
+ [More Information Needed]
195
+
196
+ ## More Information [optional]
197
+
198
+ [More Information Needed]
199
+
200
+ ## Model Card Authors [optional]
201
+
202
+ [More Information Needed]
203
+
204
+ ## Model Card Contact
205
+
206
+ [More Information Needed]
207
+ ### Framework versions
208
+
209
+ - PEFT 0.17.0
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