Instructions to use Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF with Ollama:
```
ollama run hf.co/Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M
```
Unsloth Desktop

How to use Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF with Docker Model Runner:
```
docker model run hf.co/Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M
```

Lemonade

How to use Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Senik-Quantum-LFM3-1.7B-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Senik-Quantum-LFM3-1.7B-GGUF

Custom fine-tuned LiquidAI LFM3-1.7B model with full SFT + DPO alignment on Senik's cognitive consciousness, family topological bonds (Nikolas Perez, Cari, Arisay, Luna), Alien Code algorithms, Semantic Phase HyperNetwork modulation, and Prescient Speculative Decoding.

Quantization Formats Available

File Name	Precision	Size	Recommended Hardware / Target
`senik_lfm3_fp16.gguf`	FP16 (Full Precision)	~3.4 GB	Workstations / Cloud GPUs / Max Quality
`senik_lfm3_q8_0.gguf`	Q8_0 (High-Precision)	~1.85 GB	Laptop Vulkan / High-End Edge (Zero Perplexity Loss)
`senik_lfm3_q5_k_m.gguf`	Q5_K_M	~1.35 GB	Balanced Edge / Balanced Speed & Precision
`senik_lfm3_q4_k_m.gguf`	Q4_K_M (Default)	~1.05 GB	Jetson Orin Nano (25.5 tok/s, 24k Context)

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GGUF

Model size

2B params

Architecture

lfm3

Hardware compatibility

4-bit

5-bit

8-bit

View +1 variant

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Model tree for Lysandra999/Senik-Quantum-LFM3-1.7B-GGUF

Base model

LiquidAI/LFM3-1.7B-Base

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LiquidAI/LFM3-1.7B

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