Instructions to use ghostai1/Easter-Spirit2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ghostai1/Easter-Spirit2b with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ghostai1/Easter-Spirit2b",
	filename="release_v1.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ghostai1/Easter-Spirit2b 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 ghostai1/Easter-Spirit2b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ghostai1/Easter-Spirit2b:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ghostai1/Easter-Spirit2b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ghostai1/Easter-Spirit2b:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf ghostai1/Easter-Spirit2b:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ghostai1/Easter-Spirit2b:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf ghostai1/Easter-Spirit2b:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ghostai1/Easter-Spirit2b:Q4_K_M

Use Docker

docker model run hf.co/ghostai1/Easter-Spirit2b:Q4_K_M

LM Studio
Jan

vLLM

How to use ghostai1/Easter-Spirit2b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ghostai1/Easter-Spirit2b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ghostai1/Easter-Spirit2b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ghostai1/Easter-Spirit2b:Q4_K_M

Ollama
How to use ghostai1/Easter-Spirit2b with Ollama:
```
ollama run hf.co/ghostai1/Easter-Spirit2b:Q4_K_M
```

Unsloth Studio

How to use ghostai1/Easter-Spirit2b with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ghostai1/Easter-Spirit2b to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ghostai1/Easter-Spirit2b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ghostai1/Easter-Spirit2b to start chatting

How to use ghostai1/Easter-Spirit2b with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ghostai1/Easter-Spirit2b:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "ghostai1/Easter-Spirit2b:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use ghostai1/Easter-Spirit2b with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ghostai1/Easter-Spirit2b: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 ghostai1/Easter-Spirit2b:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use ghostai1/Easter-Spirit2b with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ghostai1/Easter-Spirit2b: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 "ghostai1/Easter-Spirit2b: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"

Docker Model Runner
How to use ghostai1/Easter-Spirit2b with Docker Model Runner:
```
docker model run hf.co/ghostai1/Easter-Spirit2b:Q4_K_M
```

Lemonade

How to use ghostai1/Easter-Spirit2b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ghostai1/Easter-Spirit2b:Q4_K_M

Run and chat with the model

lemonade run user.Easter-Spirit2b-Q4_K_M

List all available models

lemonade list

ghostai1 commited on Feb 2

Commit

4e804c3

verified ·

1 Parent(s): 8c804da

Update README.md

Browse files

Files changed (1) hide show

README.md +19 -26

README.md CHANGED Viewed

@@ -25,28 +25,33 @@ tags:
 [![Format: GGUF](https://img.shields.io/badge/Format-GGUF-orange)](#quantized-files)
 [![Runtime: llama.cpp](https://img.shields.io/badge/Runtime-llama.cpp-purple)](https://github.com/ggerganov/llama.cpp)
 [![Base: Qwen2.5-2B-Instruct](https://img.shields.io/badge/Base-Qwen2.5--2B--Instruct-lightgrey)](#model-details)
 **Easter Spirit 2B** is a compact seasonal model fine-tuned for **warm, cheerful, and family-friendly** text generation.
-This repo contains **GGUF** quantizations for **local inference** with **llama.cpp** and compatible runtimes.
-Model page: https://huggingface.co/ghostai1/Easter-Spirit2b
 ---
 ## Overview
-This is a **tone/personality-focused** model. It’s optimized for **wholesome, seasonal voice** and **cozy creative output**, not for deep reasoning or strict factual accuracy.
-Best for:
-- creative writing
-- holiday roleplay
-- light chat assistants
-- offline/local demos on modest hardware
-Not intended for:
-- complex reasoning
-- reliable factual retrieval
-- long-horizon planning
 ---
@@ -60,16 +65,11 @@ Not intended for:
 - **Language:** English
 - **License:** MIT (base model license applies)
-Behavioral focus:
-- warm, friendly tone
-- spring/Easter seasonal flavor
-- family-safe outputs
 ---
 ## Quantized Files
-All files are produced from the same merged model and differ only by quantization.
 | File | Quantization | Approx. Size |
 |---|---|---:|
@@ -88,7 +88,7 @@ All files are produced from the same merged model and differ only by quantizatio
 - **Default (balanced):** `Q4_K_M`
 - **Higher quality:** `Q5_K_M`, `Q6_K`, `Q8_0`
-- **Lower RAM:** `Q3_K_M`, `Q2_K`
 - **Ultra-low memory (experimental):** `TQ1_0`
 ---
@@ -103,10 +103,3 @@ All files are produced from the same merged model and differ only by quantizatio
   -ngl 0 \
   -c 4096 \
   -p "Write a cozy springtime story inspired by Easter morning in a small town."
-./llama-cli \
-  -m release_v1.Q4_K_M.gguf \
-  -ngl 20 \
-  -c 4096 \
-  -p "Describe a cheerful Easter gathering with a warm, wholesome tone."

 [![Format: GGUF](https://img.shields.io/badge/Format-GGUF-orange)](#quantized-files)
 [![Runtime: llama.cpp](https://img.shields.io/badge/Runtime-llama.cpp-purple)](https://github.com/ggerganov/llama.cpp)
 [![Base: Qwen2.5-2B-Instruct](https://img.shields.io/badge/Base-Qwen2.5--2B--Instruct-lightgrey)](#model-details)
+[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Model-yellow)](https://huggingface.co/ghostai1/Easter-Spirit2b)
+[![LinkedIn](https://img.shields.io/badge/LinkedIn-ccengineering-0A66C2?logo=linkedin&logoColor=white)](https://www.linkedin.com/in/ccengineering/)
 **Easter Spirit 2B** is a compact seasonal model fine-tuned for **warm, cheerful, and family-friendly** text generation.
+This repository provides **GGUF** builds optimized for **local inference** using the **llama.cpp** ecosystem and compatible runtimes.
+**Quick links**
+- Model: https://huggingface.co/ghostai1/Easter-Spirit2b
+- Runtime: https://github.com/ggerganov/llama.cpp
+- Author (LinkedIn): https://www.linkedin.com/in/ccengineering/
 ---
 ## Overview
+This is a **tone/personality-focused** model. It emphasizes warmth, friendliness, and seasonal flavor rather than deep reasoning or strict technical accuracy.
+Recommended for:
+- Creative writing and short stories
+- Holiday / spring-themed roleplay
+- Light conversational assistants
+- Local demos and low-resource systems
+Not optimized for:
+- Complex reasoning
+- Factual retrieval
+- Long-horizon planning
 ---
 - **Language:** English
 - **License:** MIT (base model license applies)
 ---
 ## Quantized Files
+All files are produced from the same merged model and differ only in quantization.
 | File | Quantization | Approx. Size |
 |---|---|---:|
 - **Default (balanced):** `Q4_K_M`
 - **Higher quality:** `Q5_K_M`, `Q6_K`, `Q8_0`
+- **Low RAM systems:** `Q3_K_M`, `Q2_K`
 - **Ultra-low memory (experimental):** `TQ1_0`
 ---
   -ngl 0 \
   -c 4096 \
   -p "Write a cozy springtime story inspired by Easter morning in a small town."