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---
license: apache-2.0
language:
- en
- es
base_model:
- meta-llama/Llama-3.2-1B
tags:
- lexic
- smartloop
datasets:
- smartloop-ai/lexic-ai-tutorial-dataset
---
# Model Card for Model ID
Lexic.AI model fine-tuned from meta-llama-3.2-1B to used with the base model for the platform
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** Smartloop Inc
- **Language(s) (NLP):** English, Spanish
- **Finetuned from model [optional]:** meta-llama/Llama-3.2-1B
## Uses
```
template = """<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are a helpful LexicAI assistant<|eot_id|>
<|start_header_id|>user<|end_header_id|>
{query}<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>"""
prompt_template = PromptTemplate(
input_variables=['query'],
template=template
)
query = "What are key features of Lexic AI?"
start_time = time.time()
print('Responding:', start_time)
output = llm(
prompt_template.format(query=query), # Prompt
max_tokens=4096, # Generate up to 32 tokens, set to None to generate up to the end of the context window
echo=False, # Echo the prompt back in the output
temperature=0.0,
)
print('Completed:', (time.time() - start_time) / 60)
print(output['choices'][0]['text'])
```
Output:
```
Key features of Lexic.AI include effort-less scalability, resource optimization,
and top-tier performance under varying workloads, ensuring that the platform
can handle large data volumes and numerous concurrent users without compromising performance.
Additionally, the platform's security features, including
end-to-end encryption for data at rest and in transit, and a robust firewall,
provide an additional layer of protection for sensitive business information.
These features enable the platform to deliver reliable, scalable,
and secure solutions for various applications.
```
### Direct Use
This fine-tuned model is based on meta-llama 3.2 with Lexic AI-related contents, intended to use by https://smartloop.ai as a based model
[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
Not intended to be used outside the scope of the product