Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +202 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer_config.json +1756 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: google/gemma-2b
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library_name: peft
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---
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+
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# Model Card for Model ID
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7 |
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+
<!-- Provide a quick summary of what the model is/does. -->
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9 |
+
|
10 |
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|
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+
## Model Details
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### Model Description
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+
<!-- Provide a longer summary of what this model is. -->
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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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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]
|
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+
- **Finetuned from model [optional]:** [More Information Needed]
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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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- **Repository:** [More Information Needed]
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+
- **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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|
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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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+
|
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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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+
|
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+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
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+
[More Information Needed]
|
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+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
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+
|
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+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
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+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
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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
|
77 |
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|
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### Training Data
|
79 |
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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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|
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[More Information Needed]
|
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|
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### Training Procedure
|
85 |
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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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[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]
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|
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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
|
104 |
+
|
105 |
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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
|
110 |
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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
|
116 |
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|
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
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|
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[More Information Needed]
|
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+
|
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#### Metrics
|
122 |
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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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|
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[More Information Needed]
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|
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### Results
|
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|
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[More Information Needed]
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|
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#### Summary
|
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|
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## Model Examination [optional]
|
136 |
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|
137 |
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<!-- Relevant interpretability work for the model goes here -->
|
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|
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[More Information Needed]
|
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|
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## Environmental Impact
|
142 |
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|
143 |
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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 -->
|
144 |
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|
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 |
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- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
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- **Cloud Provider:** [More Information Needed]
|
150 |
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- **Compute Region:** [More Information Needed]
|
151 |
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- **Carbon Emitted:** [More Information Needed]
|
152 |
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|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
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### Model Architecture and Objective
|
156 |
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|
157 |
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[More Information Needed]
|
158 |
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|
159 |
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### Compute Infrastructure
|
160 |
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|
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[More Information Needed]
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|
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#### Hardware
|
164 |
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|
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[More Information Needed]
|
166 |
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|
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#### Software
|
168 |
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|
169 |
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[More Information Needed]
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|
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## 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 |
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**BibTeX:**
|
176 |
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|
177 |
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[More Information Needed]
|
178 |
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|
179 |
+
**APA:**
|
180 |
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|
181 |
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[More Information Needed]
|
182 |
+
|
183 |
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## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
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|
187 |
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[More Information Needed]
|
188 |
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|
189 |
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## More Information [optional]
|
190 |
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|
191 |
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[More Information Needed]
|
192 |
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|
193 |
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## Model Card Authors [optional]
|
194 |
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|
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[More Information Needed]
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196 |
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|
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## Model Card Contact
|
198 |
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|
199 |
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[More Information Needed]
|
200 |
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### Framework versions
|
201 |
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|
202 |
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- PEFT 0.12.0
|
adapter_config.json
ADDED
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{
|
2 |
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"alpha_pattern": {},
|
3 |
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"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "google/gemma-2b",
|
5 |
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"bias": "none",
|
6 |
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"fan_in_fan_out": false,
|
7 |
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"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
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"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 8,
|
14 |
+
"lora_dropout": 0.1,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
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"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 4,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
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"target_modules": [
|
23 |
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"q_proj",
|
24 |
+
"v_proj"
|
25 |
+
],
|
26 |
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"task_type": "CAUSAL_LM",
|
27 |
+
"use_dora": false,
|
28 |
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"use_rslora": false
|
29 |
+
}
|
adapter_model.safetensors
ADDED
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1 |
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version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dfa307aea1b451bcbef9356892e17572233ac2a7844fdc4b0ca860123fa4fe4e
|
3 |
+
size 1852600
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special_tokens_map.json
ADDED
@@ -0,0 +1,34 @@
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{
|
2 |
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"additional_special_tokens": [
|
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+
"<start_of_turn>",
|
4 |
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"<end_of_turn>"
|
5 |
+
],
|
6 |
+
"bos_token": {
|
7 |
+
"content": "<bos>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
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"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
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"eos_token": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
},
|
20 |
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"pad_token": {
|
21 |
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"content": "<pad>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
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"unk_token": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
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"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
+
}
|
34 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7da53ca29fb16f6b2489482fc0bc6a394162cdab14d12764a1755ebc583fea79
|
3 |
+
size 17518525
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tokenizer_config.json
ADDED
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1 |
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2 |
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3 |
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4 |
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36 |
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1693 |
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|
1694 |
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|
1695 |
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|
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|
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|
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|
1699 |
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|
1700 |
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|
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|
1702 |
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|
1703 |
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|
1704 |
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|
1705 |
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"rstrip": false,
|
1706 |
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"single_word": false,
|
1707 |
+
"special": false
|
1708 |
+
},
|
1709 |
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"213": {
|
1710 |
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"content": "</s>",
|
1711 |
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"lstrip": false,
|
1712 |
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"normalized": false,
|
1713 |
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"rstrip": false,
|
1714 |
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|
1715 |
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"special": false
|
1716 |
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},
|
1717 |
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"214": {
|
1718 |
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|
1719 |
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"lstrip": false,
|
1720 |
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|
1721 |
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|
1722 |
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|
1723 |
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"special": false
|
1724 |
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},
|
1725 |
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"215": {
|
1726 |
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"content": "</sup>",
|
1727 |
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|
1728 |
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|
1729 |
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|
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|
1731 |
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|
1732 |
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},
|
1733 |
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"216": {
|
1734 |
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"content": "</code>",
|
1735 |
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|
1736 |
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|
1737 |
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|
1738 |
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|
1739 |
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|
1740 |
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}
|
1741 |
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},
|
1742 |
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"additional_special_tokens": [
|
1743 |
+
"<start_of_turn>",
|
1744 |
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"<end_of_turn>"
|
1745 |
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],
|
1746 |
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"bos_token": "<bos>",
|
1747 |
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"clean_up_tokenization_spaces": false,
|
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"eos_token": "<eos>",
|
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"model_max_length": 1000000000000000019884624838656,
|
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"pad_token": "<pad>",
|
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"sp_model_kwargs": {},
|
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"spaces_between_special_tokens": false,
|
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"tokenizer_class": "GemmaTokenizer",
|
1754 |
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"unk_token": "<unk>",
|
1755 |
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"use_default_system_prompt": false
|
1756 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4f7959f8925f430c90540a5c3fe6c005c5c1ae516c2eab317b56be75fd692dd8
|
3 |
+
size 5368
|