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1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3tokenizer = AutoTokenizer.from_pretrained("ailsntua/llama-2-70b-QEvasion-clarity")
4model = AutoModelForCausalLM.from_pretrained("ailsntua/llama-2-70b-QEvasion-clarity")
5
6
7---
8base_model:
9- daryl149/llama-2-70b-chat-hf
10datasets:
11- ailsntua/QEvasion
12language:
13- en
14library_name: transformers
15license: mit
16metrics:
17- accuracy
18pipeline_tag: text-generation
19---
20
21# Model Card for Model ID
22
23<!-- Provide a quick summary of what the model is/does. -->
24
25
26
27## Model Details
28
29### Model Description
30
31<!-- Provide a longer summary of what this model is. -->
32
33This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
34
35- **Developed by:** AILS NTUA
36- **Language(s) (NLP):** EN
37
38### Model Sources [optional]
39
40<!-- Provide the basic links for the model. -->
41
42- **Repository:** [More Information Needed]
43- **Paper [optional]:** [More Information Needed]
44- **Demo [optional]:** [More Information Needed]
45
46## Uses
47
48<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
49
50### Direct Use
51
52<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
53
54[More Information Needed]
55
56### Downstream Use [optional]
57
58<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
59
60[More Information Needed]
61
62### Out-of-Scope Use
63
64<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
65
66[More Information Needed]
67
68## Bias, Risks, and Limitations
69
70<!-- This section is meant to convey both technical and sociotechnical limitations. -->
71
72[More Information Needed]
73
74### Recommendations
75
76<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
77
78Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
79
80## How to Get Started with the Model
81
82Use the code below to get started with the model.
83
84[More Information Needed]
85
86## Training Details
87
88### Training Data
89
90<!-- 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. -->
91
92[More Information Needed]
93
94### Training Procedure
95
96<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
97
98#### Preprocessing [optional]
99
100[More Information Needed]
101
102
103#### Training Hyperparameters
104
105- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
106
107#### Speeds, Sizes, Times [optional]
108
109<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
110
111[More Information Needed]
112
113## Evaluation
114
115<!-- This section describes the evaluation protocols and provides the results. -->
116
117### Testing Data, Factors & Metrics
118
119#### Testing Data
120
121<!-- This should link to a Dataset Card if possible. -->
122
123[More Information Needed]
124
125#### Factors
126
127<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
128
129[More Information Needed]
130
131#### Metrics
132
133<!-- These are the evaluation metrics being used, ideally with a description of why. -->
134
135[More Information Needed]
136
137### Results
138
139[More Information Needed]
140
141#### Summary
142
143
144
145## Model Examination [optional]
146
147<!-- Relevant interpretability work for the model goes here -->
148
149[More Information Needed]
150
151## Environmental Impact
152
153<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
154
155Carbon 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).
156
157- **Hardware Type:** [More Information Needed]
158- **Hours used:** [More Information Needed]
159- **Cloud Provider:** [More Information Needed]
160- **Compute Region:** [More Information Needed]
161- **Carbon Emitted:** [More Information Needed]
162
163## Technical Specifications [optional]
164
165### Model Architecture and Objective
166
167[More Information Needed]
168
169### Compute Infrastructure
170
171[More Information Needed]
172
173#### Hardware
174
175[More Information Needed]
176
177#### Software
178
179[More Information Needed]
180
181## Citation [optional]
182
183<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
184
185**BibTeX:**
186
187[More Information Needed]
188
189**APA:**
190
191[More Information Needed]
192
193## Glossary [optional]
194
195<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
196
197[More Information Needed]
198
199## More Information [optional]
200
201[More Information Needed]
202
203## Model Card Authors [optional]
204
205[More Information Needed]
206
207## Model Card Contact
208
209[More Information Needed]