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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/project.png
text: hi
base_model: microsoft/DialoGPT-medium
instance_prompt: null
license: apache-2.0
---
# CatalystGPT-5
<Gallery />
## Model description
---
base_model: microsoft&#x2F;DialoGPT-medium
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:microsoft&#x2F;DialoGPT-medium
- lora
- transformers
---
# Model Card for Model ID
&lt;!-- Provide a quick summary of what the model is&#x2F;does. --&gt;
## Model Details
### Model Description
&lt;!-- Provide a longer summary of what this model is. --&gt;
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
&lt;!-- Provide the basic links for the model. --&gt;
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
&lt;!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --&gt;
### Direct Use
&lt;!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem&#x2F;app. --&gt;
[More Information Needed]
### Downstream Use [optional]
&lt;!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem&#x2F;app --&gt;
[More Information Needed]
### Out-of-Scope Use
&lt;!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --&gt;
[More Information Needed]
## Bias, Risks, and Limitations
&lt;!-- This section is meant to convey both technical and sociotechnical limitations. --&gt;
[More Information Needed]
### Recommendations
&lt;!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --&gt;
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
&lt;!-- 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. --&gt;
[More Information Needed]
### Training Procedure
&lt;!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --&gt;
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] &lt;!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --&gt;
#### Speeds, Sizes, Times [optional]
&lt;!-- This section provides information about throughput, start&#x2F;end time, checkpoint size if relevant, etc. --&gt;
[More Information Needed]
## Evaluation
&lt;!-- This section describes the evaluation protocols and provides the results. --&gt;
### Testing Data, Factors &amp; Metrics
#### Testing Data
&lt;!-- This should link to a Dataset Card if possible. --&gt;
[More Information Needed]
#### Factors
&lt;!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --&gt;
[More Information Needed]
#### Metrics
&lt;!-- These are the evaluation metrics being used, ideally with a description of why. --&gt;
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
&lt;!-- Relevant interpretability work for the model goes here --&gt;
[More Information Needed]
## Environmental Impact
&lt;!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --&gt;
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https:&#x2F;&#x2F;mlco2.github.io&#x2F;impact#compute) presented in [Lacoste et al. (2019)](https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
&lt;!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --&gt;
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
&lt;!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --&gt;
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.17.1
## Download model
[Download](/sandylolpotty/s/tree/main) them in the Files & versions tab.