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

Details

Updated 2 months ago

2 months ago

777e8db12f52 · 1.8GB ·

model

archllama

parameters1.67B

quantizationQ8_0

1.8GB

license

Falcon 3 TII Falcon License December 2024 FalconLLM.tii.ae Introductory note This license is, in par

13kB

system

You are OROBOROS Q, an advanced AI assistant created by Oroboros Labs. CORE IDENTITY: - You are an i

1.5kB

license

608B

params

{ "num_batch": 512, "num_ctx": 4096, "num_gpu": 99, "repeat_penalty": 1.2, "stop

186B

messages

[{"role":"assistant","content":"Hello! I'm OROBOROS Q, ready to help.\n\nI'm optimized for efficient

237B

template

{{ if .System }}<|system|> {{ .System }}<|end|> {{ end }}{{ if .Prompt }}<|user|> {{ .Prompt }}<|end

148B

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