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  - programming
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  ---
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- # Model Card for projects/903806786624/locations/us-central1/models/7358498061565296640@1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model Details:
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- - **Model Name:** projects/903806786624/locations/us-central1/models/7358498061565296640@1
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  - **Base Model:** gemini-2.0-flash-lite-001
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  - **Tuning Method:** Supervised
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  ## Tuning Information:
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- - **Tuning Job:** projects/903806786624/locations/us-central1/tuningJobs/6829066050101837824
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- - **Tuning Dataset:** gs://fine-tuning-main/vertex_system.jsonl
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- - **Experiment:** tuning-experiment-20250610065357274903
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  - **Number of Epochs:** 25
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- - **Intermediate Checkpoints:** Enabled
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  - **Default Checkpoint:** 8
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  - **Learning Rate Multiplier:** 0.004
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  - **Adapter Size:** 4
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- - **Truncated Example Count:** 0
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  ## Performance and Status:
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  - **Status:** Succeeded
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  - **Region:** us-central1
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  - **Created:** June 10, 2025, 7:52:44 AM
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- - **Ended:** June 10, 2025, 8:09:47 AM
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-
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- ## Security and Compliance:
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- - **Encryption Type:** Google-managed
 
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  - programming
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+ 1. Model Details:
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+ Model Name: framer_overrides (as you prov
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+ Model Type:Fine-tuned Gemini 1.5 Pr on Framer Custom Code Overrides and Code Components
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+ Original Model: Gemini 2.5 pro
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+ Fine-tuning Method: Supervised fine-tuning.
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+ 2. Deployment Information:
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+ Deployment Platform: Google Cloud Vertex AI.
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+ Endpoint ID: 7750638883611607040 (This is important for identifying the specific deployment).
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+ Region: us-central1 .
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+ API Endpoint: fra
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+ Infrastructure: Google-managed.
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+ Model Status: Active
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+ ## How to use:
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+ **Install the Vertex AI SDK: Open a terminal window and enter the command below. You can also install it in a virtualenv**
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+ ```pip install --upgrade google-genaigcloud auth application-default login```
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+
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+ **Use the following code in your application to request a model response**
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+ ```from google import genaifrom google.genai import typesimport base64def generate(): client = genai.Client( vertexai=True, project="903806786624", location="us-central1", ) model = "projects/903806786624/locations/us-central1/endpoints/2455637174847012864" contents = [ types.Content( role="user", parts=[ ] ) ] generate_content_config = types.GenerateContentConfig( temperature = 1, top_p = 0.95, max_output_tokens = 8192, safety_settings = [types.SafetySetting( category="HARM_CATEGORY_HATE_SPEECH", threshold="OFF" ),types.SafetySetting( category="HARM_CATEGORY_DANGEROUS_CONTENT", threshold="OFF" ),types.SafetySetting( category="HARM_CATEGORY_SEXUALLY_EXPLICIT", threshold="OFF" ),types.SafetySetting( category="HARM_CATEGORY_HARASSMENT", threshold="OFF" )], )```
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  ## Model Details:
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+ - **Model Name:** framer_custom_code
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  - **Base Model:** gemini-2.0-flash-lite-001
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  - **Tuning Method:** Supervised
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  ## Tuning Information:
 
 
 
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  - **Number of Epochs:** 25
 
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  - **Default Checkpoint:** 8
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  - **Learning Rate Multiplier:** 0.004
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  - **Adapter Size:** 4
 
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  ## Performance and Status:
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  - **Status:** Succeeded
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  - **Region:** us-central1
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  - **Created:** June 10, 2025, 7:52:44 AM
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+ - **Ended:** June 10, 2025, 8:09:47