Lora Turbo: A high-performance, privacy-focused local AI model featuring real-time self-learning and adaptive context evaluation for Ollama.

cloud

ollama run bloxcolayt/lora-turbo

curl http://localhost:11434/api/chat \
  -d '{
    "model": "bloxcolayt/lora-turbo",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='bloxcolayt/lora-turbo',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'bloxcolayt/lora-turbo',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

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Name

1 model

Size / Usage

Context

Input

lora-turbo:latest

3.0kB · - context window · Text · 2 months ago

lora-turbo:latest

3.0kB

Text

Readme

Lora Turbo

Lora Turbo is a high-performance, privacy-focused local language model designed for fast execution and adaptive workflows. Equipped with autonomous self-learning capabilities, Lora Turbo dynamically evaluates incoming context to continuously refine its knowledge while keeping your data entirely local.

Key Features

Fast & Secure Local Execution: Optimized for low-latency inference within Ollama, keeping your data strictly on your machine.
Autonomous Self-Learning: Intelligently filters and evaluates incoming information in real time, deciding what knowledge is useful to retain for future context.
Focused Precision: Designed to deliver accurate, reliable outputs for developer workflows, scripting, and system tasks.
Minimal Overhead: Compact footprint tuned for high efficiency on modern desktop and workstation hardware.

Quickstart

Running via Ollama

Run Lora Turbo directly from your terminal:

ollama run lora-turbo