Yhhxhfh
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autotrain-okplo-xiy8m

@@ -1,26 +1,26 @@
 ---
 metadata:
   tags:
-    - autotrain
-    - text-generation-inference
-    - text-generation
-    - peft
   library_name: transformers
   base_model: meta-llama/Llama-3.2-1B-Instruct
   widget:
-    - messages:
-        - role: user
-          content: What is your favorite condiment?
   license: other
   language:
-    - en
-    - de
-    - fr
-    - it
-    - pt
-    - hi
-    - es
-    - th
   pipeline_tag: text-generation
   extra_gated_fields:
     First Name: text
@@ -31,232 +31,22 @@ metadata:
     Job title:
       type: select
       options:
-        - Student
-        - Research Graduate
-        - AI researcher
-        - AI developer/engineer
-        - Reporter
-        - Other
     geo: ip_location
   extra_gated_button_content: Submit
   inference: true
-extra_gated_fields:
-  First Name: text
-  Last Name: text
-  Date of birth: date_picker
-  Country: country
-  Affiliation: text
-  Job title:
-    type: select
-    options:
-    - Student
-    - Research Graduate
-    - AI researcher
-    - AI developer/engineer
-    - Reporter
-    - Other
-  geo: ip_location
-  By clicking Submit below I accept the terms of the license and acknowledge that the information I provide will be collected stored processed and shared in accordance with the Meta Privacy Policy: checkbox
-extra_gated_description: >-
-  The information you provide will be collected, stored, processed and shared in
-  accordance with the [Meta Privacy
-  Policy](https://www.facebook.com/privacy/policy/).
-extra_gated_button_content: Submit
----
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-- **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]
-<!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-[More Information Needed]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-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
-<!-- 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. -->
-[More Information Needed]
-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
-## Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-### Testing Data, Factors & Metrics
-#### Testing Data
-<!-- This should link to a Dataset Card if possible. -->
-[More Information Needed]
-#### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-[More Information Needed]
-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-### Results
-[More Information Needed]
-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-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).
-- **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]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Model Card Authors [optional]
-[More Information Needed]
-## Model Card Contact
-[More Information Needed]

 ---
 metadata:
   tags:
+  - autotrain
+  - text-generation-inference
+  - text-generation
+  - peft
   library_name: transformers
   base_model: meta-llama/Llama-3.2-1B-Instruct
   widget:
+  - messages:
+    - role: user
+      content: What is your favorite condiment?
   license: other
   language:
+  - en
+  - de
+  - fr
+  - it
+  - pt
+  - hi
+  - es
+  - th
   pipeline_tag: text-generation
   extra_gated_fields:
     First Name: text
     Job title:
       type: select
       options:
+      - Student
+      - Research Graduate
+      - AI researcher
+      - AI developer/engineer
+      - Reporter
+      - Other
     geo: ip_location
   extra_gated_button_content: Submit
   inference: true
+license: other
+metrics:
+- accuracy
+base_model:
+- meta-llama/Llama-3.2-1B-Instruct
+pipeline_tag: text-generation
+tags:
+- code
+- not-for-all-audiences
+---