Hugging Face's logo

peft-internal-testing
/
regression-tests

Safetensors
Model card Files Community
1
BenjaminB HF staff commited on
Commit
42a454d
·
verified ·
1 Parent(s): 88d926a

Delete 8bit bnb LoRA regression artifacts

Browse files

Results depend on compute capability of GPU. Since it was upgraded, results differ, so creating new artifacts is required.

Files changed (12) hide show
  1. lora_opt-350m_bnb_8bit/0.10.0/README.md +0 -204
  2. lora_opt-350m_bnb_8bit/0.10.0/adapter_config.json +0 -32
  3. lora_opt-350m_bnb_8bit/0.10.0/adapter_model.safetensors +0 -3
  4. lora_opt-350m_bnb_8bit/0.10.0/output.pt +0 -3
  5. lora_opt-350m_bnb_8bit/0.6.2/README.md +0 -219
  6. lora_opt-350m_bnb_8bit/0.6.2/adapter_config.json +0 -26
  7. lora_opt-350m_bnb_8bit/0.6.2/adapter_model.safetensors +0 -3
  8. lora_opt-350m_bnb_8bit/0.6.2/output.pt +0 -3
  9. lora_opt-350m_bnb_8bit/0.7.1.dev0/README.md +0 -218
  10. lora_opt-350m_bnb_8bit/0.7.1.dev0/adapter_config.json +0 -29
  11. lora_opt-350m_bnb_8bit/0.7.1.dev0/adapter_model.safetensors +0 -3
  12. lora_opt-350m_bnb_8bit/0.7.1.dev0/output.pt +0 -3
lora_opt-350m_bnb_8bit/0.10.0/README.md DELETED
@@ -1,204 +0,0 @@
1
- ---
2
- library_name: peft
3
- base_model: facebook/opt-350m
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
-
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
-
202
- ### Framework versions
203
-
204
- - PEFT 0.10.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
lora_opt-350m_bnb_8bit/0.10.0/adapter_config.json DELETED
@@ -1,32 +0,0 @@
1
- {
2
- "alpha_pattern": {},
3
- "auto_mapping": {
4
- "base_model_class": "OPTForCausalLM",
5
- "parent_library": "transformers.models.opt.modeling_opt"
6
- },
7
- "base_model_name_or_path": "facebook/opt-350m",
8
- "bias": "none",
9
- "fan_in_fan_out": false,
10
- "inference_mode": true,
11
- "init_lora_weights": false,
12
- "layer_replication": null,
13
- "layers_pattern": null,
14
- "layers_to_transform": null,
15
- "loftq_config": {},
16
- "lora_alpha": 8,
17
- "lora_dropout": 0.0,
18
- "megatron_config": null,
19
- "megatron_core": "megatron.core",
20
- "modules_to_save": null,
21
- "peft_type": "LORA",
22
- "r": 8,
23
- "rank_pattern": {},
24
- "revision": null,
25
- "target_modules": [
26
- "v_proj",
27
- "q_proj"
28
- ],
29
- "task_type": null,
30
- "use_dora": false,
31
- "use_rslora": false
32
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
lora_opt-350m_bnb_8bit/0.10.0/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:ece009e7ac28447a45cef4a37c5a4a0048b5a5b12261e37464fa762771b94a86
3
- size 3159096
 
 
 
 
lora_opt-350m_bnb_8bit/0.10.0/output.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:1293fc3f775524733cbbc0febbba2e309af29451c8381c65b1057dbfb64a6dd3
3
- size 604375
 
 
 
 
lora_opt-350m_bnb_8bit/0.6.2/README.md DELETED
@@ -1,219 +0,0 @@
1
- ---
2
- library_name: peft
3
- base_model: facebook/opt-350m
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
-
19
-
20
- - **Developed by:** [More Information Needed]
21
- - **Shared by [optional]:** [More Information Needed]
22
- - **Model type:** [More Information Needed]
23
- - **Language(s) (NLP):** [More Information Needed]
24
- - **License:** [More Information Needed]
25
- - **Finetuned from model [optional]:** [More Information Needed]
26
-
27
- ### Model Sources [optional]
28
-
29
- <!-- Provide the basic links for the model. -->
30
-
31
- - **Repository:** [More Information Needed]
32
- - **Paper [optional]:** [More Information Needed]
33
- - **Demo [optional]:** [More Information Needed]
34
-
35
- ## Uses
36
-
37
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
38
-
39
- ### Direct Use
40
-
41
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
42
-
43
- [More Information Needed]
44
-
45
- ### Downstream Use [optional]
46
-
47
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
48
-
49
- [More Information Needed]
50
-
51
- ### Out-of-Scope Use
52
-
53
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
54
-
55
- [More Information Needed]
56
-
57
- ## Bias, Risks, and Limitations
58
-
59
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
60
-
61
- [More Information Needed]
62
-
63
- ### Recommendations
64
-
65
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
66
-
67
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
68
-
69
- ## How to Get Started with the Model
70
-
71
- Use the code below to get started with the model.
72
-
73
- [More Information Needed]
74
-
75
- ## Training Details
76
-
77
- ### Training Data
78
-
79
- <!-- This should link to a Data 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. -->
80
-
81
- [More Information Needed]
82
-
83
- ### Training Procedure
84
-
85
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
86
-
87
- #### Preprocessing [optional]
88
-
89
- [More Information Needed]
90
-
91
-
92
- #### Training Hyperparameters
93
-
94
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
95
-
96
- #### Speeds, Sizes, Times [optional]
97
-
98
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
99
-
100
- [More Information Needed]
101
-
102
- ## Evaluation
103
-
104
- <!-- This section describes the evaluation protocols and provides the results. -->
105
-
106
- ### Testing Data, Factors & Metrics
107
-
108
- #### Testing Data
109
-
110
- <!-- This should link to a Data Card if possible. -->
111
-
112
- [More Information Needed]
113
-
114
- #### Factors
115
-
116
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
117
-
118
- [More Information Needed]
119
-
120
- #### Metrics
121
-
122
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
123
-
124
- [More Information Needed]
125
-
126
- ### Results
127
-
128
- [More Information Needed]
129
-
130
- #### Summary
131
-
132
-
133
-
134
- ## Model Examination [optional]
135
-
136
- <!-- Relevant interpretability work for the model goes here -->
137
-
138
- [More Information Needed]
139
-
140
- ## Environmental Impact
141
-
142
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
143
-
144
- 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).
145
-
146
- - **Hardware Type:** [More Information Needed]
147
- - **Hours used:** [More Information Needed]
148
- - **Cloud Provider:** [More Information Needed]
149
- - **Compute Region:** [More Information Needed]
150
- - **Carbon Emitted:** [More Information Needed]
151
-
152
- ## Technical Specifications [optional]
153
-
154
- ### Model Architecture and Objective
155
-
156
- [More Information Needed]
157
-
158
- ### Compute Infrastructure
159
-
160
- [More Information Needed]
161
-
162
- #### Hardware
163
-
164
- [More Information Needed]
165
-
166
- #### Software
167
-
168
- [More Information Needed]
169
-
170
- ## Citation [optional]
171
-
172
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
173
-
174
- **BibTeX:**
175
-
176
- [More Information Needed]
177
-
178
- **APA:**
179
-
180
- [More Information Needed]
181
-
182
- ## Glossary [optional]
183
-
184
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
185
-
186
- [More Information Needed]
187
-
188
- ## More Information [optional]
189
-
190
- [More Information Needed]
191
-
192
- ## Model Card Authors [optional]
193
-
194
- [More Information Needed]
195
-
196
- ## Model Card Contact
197
-
198
- [More Information Needed]
199
-
200
-
201
- ## Training procedure
202
-
203
-
204
- The following `bitsandbytes` quantization config was used during training:
205
- - quant_method: bitsandbytes
206
- - load_in_8bit: True
207
- - load_in_4bit: False
208
- - llm_int8_threshold: 6.0
209
- - llm_int8_skip_modules: None
210
- - llm_int8_enable_fp32_cpu_offload: False
211
- - llm_int8_has_fp16_weight: False
212
- - bnb_4bit_quant_type: fp4
213
- - bnb_4bit_use_double_quant: False
214
- - bnb_4bit_compute_dtype: float32
215
-
216
- ### Framework versions
217
-
218
-
219
- - PEFT 0.6.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
lora_opt-350m_bnb_8bit/0.6.2/adapter_config.json DELETED
@@ -1,26 +0,0 @@
1
- {
2
- "alpha_pattern": {},
3
- "auto_mapping": {
4
- "base_model_class": "OPTForCausalLM",
5
- "parent_library": "transformers.models.opt.modeling_opt"
6
- },
7
- "base_model_name_or_path": "facebook/opt-350m",
8
- "bias": "none",
9
- "fan_in_fan_out": false,
10
- "inference_mode": true,
11
- "init_lora_weights": false,
12
- "layers_pattern": null,
13
- "layers_to_transform": null,
14
- "lora_alpha": 8,
15
- "lora_dropout": 0.0,
16
- "modules_to_save": null,
17
- "peft_type": "LORA",
18
- "r": 8,
19
- "rank_pattern": {},
20
- "revision": null,
21
- "target_modules": [
22
- "q_proj",
23
- "v_proj"
24
- ],
25
- "task_type": null
26
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
lora_opt-350m_bnb_8bit/0.6.2/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:ece009e7ac28447a45cef4a37c5a4a0048b5a5b12261e37464fa762771b94a86
3
- size 3159096
 
 
 
 
lora_opt-350m_bnb_8bit/0.6.2/output.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:1293fc3f775524733cbbc0febbba2e309af29451c8381c65b1057dbfb64a6dd3
3
- size 604375
 
 
 
 
lora_opt-350m_bnb_8bit/0.7.1.dev0/README.md DELETED
@@ -1,218 +0,0 @@
1
- ---
2
- library_name: peft
3
- base_model: facebook/opt-350m
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
-
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
-
202
- ## Training procedure
203
-
204
- The following `bitsandbytes` quantization config was used during training:
205
- - quant_method: bitsandbytes
206
- - load_in_8bit: True
207
- - load_in_4bit: False
208
- - llm_int8_threshold: 6.0
209
- - llm_int8_skip_modules: None
210
- - llm_int8_enable_fp32_cpu_offload: False
211
- - llm_int8_has_fp16_weight: False
212
- - bnb_4bit_quant_type: fp4
213
- - bnb_4bit_use_double_quant: False
214
- - bnb_4bit_compute_dtype: float32
215
-
216
- ### Framework versions
217
-
218
- - PEFT 0.7.1.dev0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
lora_opt-350m_bnb_8bit/0.7.1.dev0/adapter_config.json DELETED
@@ -1,29 +0,0 @@
1
- {
2
- "alpha_pattern": {},
3
- "auto_mapping": {
4
- "base_model_class": "OPTForCausalLM",
5
- "parent_library": "transformers.models.opt.modeling_opt"
6
- },
7
- "base_model_name_or_path": "facebook/opt-350m",
8
- "bias": "none",
9
- "fan_in_fan_out": false,
10
- "inference_mode": true,
11
- "init_lora_weights": false,
12
- "layers_pattern": null,
13
- "layers_to_transform": null,
14
- "loftq_config": {},
15
- "lora_alpha": 8,
16
- "lora_dropout": 0.0,
17
- "megatron_config": null,
18
- "megatron_core": "megatron.core",
19
- "modules_to_save": null,
20
- "peft_type": "LORA",
21
- "r": 8,
22
- "rank_pattern": {},
23
- "revision": null,
24
- "target_modules": [
25
- "v_proj",
26
- "q_proj"
27
- ],
28
- "task_type": null
29
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
lora_opt-350m_bnb_8bit/0.7.1.dev0/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:ece009e7ac28447a45cef4a37c5a4a0048b5a5b12261e37464fa762771b94a86
3
- size 3159096
 
 
 
 
lora_opt-350m_bnb_8bit/0.7.1.dev0/output.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:1293fc3f775524733cbbc0febbba2e309af29451c8381c65b1057dbfb64a6dd3
3
- size 604375