Isaak-Carter commited on
Commit
61592d7
1 Parent(s): 0da28e7

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +71 -197
README.md CHANGED
@@ -1,201 +1,75 @@
1
  ---
2
  library_name: transformers
3
- tags: []
4
  ---
5
 
6
- # Model Card for Model ID
7
-
8
- <!-- Provide a quick summary of what the model is/does. -->
9
-
10
-
11
-
12
- ## Model Details
13
-
14
- ### Model Description
15
-
16
- <!-- Provide a longer summary of what this model is. -->
17
-
18
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
-
20
- - **Developed by:** [More Information Needed]
21
- - **Funded by [optional]:** [More Information Needed]
22
- - **Shared by [optional]:** [More Information Needed]
23
- - **Model type:** [More Information Needed]
24
- - **Language(s) (NLP):** [More Information Needed]
25
- - **License:** [More Information Needed]
26
- - **Finetuned from model [optional]:** [More Information Needed]
27
-
28
- ### Model Sources [optional]
29
-
30
- <!-- Provide the basic links for the model. -->
31
-
32
- - **Repository:** [More Information Needed]
33
- - **Paper [optional]:** [More Information Needed]
34
- - **Demo [optional]:** [More Information Needed]
35
-
36
- ## Uses
37
-
38
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
-
40
- ### Direct Use
41
-
42
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
-
44
- [More Information Needed]
45
-
46
- ### Downstream Use [optional]
47
-
48
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
-
50
- [More Information Needed]
51
-
52
- ### Out-of-Scope Use
53
-
54
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
-
56
- [More Information Needed]
57
-
58
- ## Bias, Risks, and Limitations
59
-
60
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
-
62
- [More Information Needed]
63
-
64
- ### Recommendations
65
-
66
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
-
68
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
-
70
- ## How to Get Started with the Model
71
-
72
- Use the code below to get started with the model.
73
-
74
- [More Information Needed]
75
-
76
- ## Training Details
77
-
78
- ### Training Data
79
-
80
- <!-- 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. -->
81
-
82
- [More Information Needed]
83
-
84
- ### Training Procedure
85
-
86
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
-
88
- #### Preprocessing [optional]
89
-
90
- [More Information Needed]
91
-
92
-
93
- #### Training Hyperparameters
94
-
95
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
-
97
- #### Speeds, Sizes, Times [optional]
98
-
99
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
-
101
- [More Information Needed]
102
-
103
- ## Evaluation
104
-
105
- <!-- This section describes the evaluation protocols and provides the results. -->
106
-
107
- ### Testing Data, Factors & Metrics
108
-
109
- #### Testing Data
110
-
111
- <!-- This should link to a Dataset Card if possible. -->
112
-
113
- [More Information Needed]
114
-
115
- #### Factors
116
-
117
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
-
119
- [More Information Needed]
120
-
121
- #### Metrics
122
-
123
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
-
125
- [More Information Needed]
126
-
127
- ### Results
128
-
129
- [More Information Needed]
130
-
131
- #### Summary
132
-
133
-
134
-
135
- ## Model Examination [optional]
136
-
137
- <!-- Relevant interpretability work for the model goes here -->
138
-
139
- [More Information Needed]
140
-
141
- ## Environmental Impact
142
-
143
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
-
145
- 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).
146
-
147
- - **Hardware Type:** [More Information Needed]
148
- - **Hours used:** [More Information Needed]
149
- - **Cloud Provider:** [More Information Needed]
150
- - **Compute Region:** [More Information Needed]
151
- - **Carbon Emitted:** [More Information Needed]
152
-
153
- ## Technical Specifications [optional]
154
-
155
- ### Model Architecture and Objective
156
-
157
- [More Information Needed]
158
-
159
- ### Compute Infrastructure
160
-
161
- [More Information Needed]
162
-
163
- #### Hardware
164
-
165
- [More Information Needed]
166
-
167
- #### Software
168
-
169
- [More Information Needed]
170
-
171
- ## Citation [optional]
172
-
173
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
-
175
- **BibTeX:**
176
-
177
- [More Information Needed]
178
-
179
- **APA:**
180
-
181
- [More Information Needed]
182
-
183
- ## Glossary [optional]
184
-
185
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
-
187
- [More Information Needed]
188
-
189
- ## More Information [optional]
190
-
191
- [More Information Needed]
192
-
193
- ## Model Card Authors [optional]
194
-
195
- [More Information Needed]
196
-
197
- ## Model Card Contact
198
-
199
- [More Information Needed]
200
-
201
-
 
1
  ---
2
  library_name: transformers
3
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
4
  ---
5
 
6
+ # Model card of JOSIExMistral-7B-Instruct-v0.2
7
+ ## This is my Token customized mistralai/Mistral-7B-Instruct-v0.2 model
8
+
9
+ [Origional Model](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
10
+
11
+ This is based on mistralai/Mistral-7B-Instruct-v0.2 model with added custom special Tokens. This wil most likely be my next Model, trained on my own Dataset.
12
+
13
+ <br>
14
+
15
+ ### New added Special Tokens
16
+
17
+ ```text
18
+ '<|functions|>',
19
+ '<|system|>',
20
+ '<|gökdeniz|>',
21
+ '<|user|>',
22
+ '<|josie|>',
23
+ '<|assistant|>',
24
+ '<|function_call|>',
25
+ '<|function_response|>',
26
+ '<|image|>',
27
+ '<|long_term_memory|>',
28
+ '<|short_term_memory|>',
29
+ '<|home_state|>',
30
+ '<|current_states|>',
31
+ '<|context|>',
32
+ '<|im_start|>',
33
+ '<|im_end|>'
34
+ ```
35
+ <br>
36
+
37
+ ### New BOS and EOS Tokens
38
+
39
+ ```text
40
+ BOS = '<|startoftext|>'
41
+ EOS = '<|endoftext|>'
42
+ ```
43
+ <br>
44
+
45
+ ## Model Architecture:
46
+
47
+ ```text
48
+ MistralForCausalLM(
49
+ (model): MistralModel(
50
+ (embed_tokens): Embedding(32018, 4096)
51
+ (layers): ModuleList(
52
+ (0-31): 32 x MistralDecoderLayer(
53
+ (self_attn): MistralSdpaAttention(
54
+ (q_proj): Linear(in_features=4096, out_features=4096, bias=False)
55
+ (k_proj): Linear(in_features=4096, out_features=1024, bias=False)
56
+ (v_proj): Linear(in_features=4096, out_features=1024, bias=False)
57
+ (o_proj): Linear(in_features=4096, out_features=4096, bias=False)
58
+ (rotary_emb): MistralRotaryEmbedding()
59
+ )
60
+ (mlp): MistralMLP(
61
+ (gate_proj): Linear(in_features=4096, out_features=14336, bias=False)
62
+ (up_proj): Linear(in_features=4096, out_features=14336, bias=False)
63
+ (down_proj): Linear(in_features=14336, out_features=4096, bias=False)
64
+ (act_fn): SiLU()
65
+ )
66
+ (input_layernorm): MistralRMSNorm()
67
+ (post_attention_layernorm): MistralRMSNorm()
68
+ )
69
+ )
70
+ (norm): MistralRMSNorm()
71
+ )
72
+ (lm_head): Linear(in_features=4096, out_features=32018, bias=False)
73
+ )
74
+ ```
75
+ <br>