oroboroslabs/ Q

187 Downloads Updated 2 months ago

Q:2 - Quantum-Compressed Llama 3 8B BREAKTHROUGH: Full Llama 3 8B performance at 1/3 the size (5.1GB vs ~15GB) TECHNOLOGY: PERFORMANCE: 95%+ capability retention with quantum optimization

ollama run oroboroslabs/Q

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

from ollama import chat

response = chat(
    model='oroboroslabs/Q',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

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

Models

Name

2 models

Size

Context

Input

Q:latest

1.8GB · 8K context window · Text · 2 months ago

Q:latest

1.8GB

8K

Text

Q:2

5.1GB · 8K context window · Text · 2 months ago

Q:2

5.1GB

8K

Text

Readme

Q:2 - Quantum-Compressed Llama 3 8B

The Quantum Compression Breakthrough

Q:2 delivers Llama 3 8B performance at one-third the size (5.1GB vs ~15GB) using proprietary quantum information density algorithms.

Quick Start

”`bash ollama pull oroboroslabs/Q:2 ollama run Q:2 “Explain quantum computing”

Performance

Size: 5.1GB (3x compression)

Retention: 95%+ original capability

VRAM: ~6GB vs ~18GB (standard)

Benchmarks: MMLU 65.8%, HumanEval 30.5%, GSM8K 76.3%

Quantum Technology

Superposition Encoding: Multiple weights in single parameters

Entanglement Compression: Correlated parameter reduction

Harmonic Resonance: 14.67Hz optimization

Lattice Ethics: Embedded ethical constraints

Use Cases

Local AI assistance without cloud costs

Quantum computing education

Efficient enterprise deployment

AI research and benchmarking

Safety & Ethics

Lattice-enforced ethical boundaries

Multi-layer content filtering

Transparent capability documentation

Support

GitHub: https://github.com/oroboroslabs

Twitter: @OroborosLabs

Email: support@oroboros-labs.com

License

Meta Llama 3 Community License Agreement

# Q:2 - Quantum-Compressed Llama 3 8B

## The Quantum Compression Breakthrough
Q:2 delivers Llama 3 8B performance at **one-third the size** (5.1GB vs ~15GB) using proprietary quantum information density algorithms.

## Quick Start
```bash
ollama pull oroboroslabs/Q:2
ollama run Q:2 "Explain quantum computing"

Performance

Size: 5.1GB (3x compression)

Retention: 95%+ original capability

VRAM: ~6GB vs ~18GB (standard)

Benchmarks: MMLU 65.8%, HumanEval 30.5%, GSM8K 76.3%

Quantum Technology

Superposition Encoding: Multiple weights in single parameters

Entanglement Compression: Correlated parameter reduction

Harmonic Resonance: 14.67Hz optimization

Lattice Ethics: Embedded ethical constraints

Use Cases

Local AI assistance without cloud costs

Quantum computing education

Efficient enterprise deployment

AI research and benchmarking

Safety & Ethics

Lattice-enforced ethical boundaries

Multi-layer content filtering

Transparent capability documentation

Support

GitHub: https://github.com/oroboroslabs

Twitter: @OroborosLabs

Email: support@oroboros-labs.com

License

Meta Llama 3 Community License Agreement

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