Instructions to use aab20abdullah/akin-yurt-finely with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use aab20abdullah/akin-yurt-finely 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 aab20abdullah/akin-yurt-finely
# Run inference directly in the terminal:
llama cli -hf aab20abdullah/akin-yurt-finely

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aab20abdullah/akin-yurt-finely
# Run inference directly in the terminal:
llama cli -hf aab20abdullah/akin-yurt-finely

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 aab20abdullah/akin-yurt-finely
# Run inference directly in the terminal:
./llama-cli -hf aab20abdullah/akin-yurt-finely

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 aab20abdullah/akin-yurt-finely
# Run inference directly in the terminal:
./build/bin/llama-cli -hf aab20abdullah/akin-yurt-finely

Use Docker

docker model run hf.co/aab20abdullah/akin-yurt-finely

LM Studio
Jan
Ollama
How to use aab20abdullah/akin-yurt-finely with Ollama:
```
ollama run hf.co/aab20abdullah/akin-yurt-finely
```
Unsloth Desktop

How to use aab20abdullah/akin-yurt-finely with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf aab20abdullah/akin-yurt-finely

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": "aab20abdullah/akin-yurt-finely"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use aab20abdullah/akin-yurt-finely with Docker Model Runner:
```
docker model run hf.co/aab20abdullah/akin-yurt-finely
```

Lemonade

How to use aab20abdullah/akin-yurt-finely with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull aab20abdullah/akin-yurt-finely

Run and chat with the model

lemonade run user.akin-yurt-finely-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use aab20abdullah/akin-yurt-finely with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf aab20abdullah/akin-yurt-finely

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 aab20abdullah/akin-yurt-finely

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use aab20abdullah/akin-yurt-finely with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf aab20abdullah/akin-yurt-finely

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 "aab20abdullah/akin-yurt-finely" \
  --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"

akin-yurt-finely / run_akin.py

aab20abdullah

Upload run_akin.py with huggingface_hub

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	from llama_cpp import Llama
	import os

	print("🐺 Akın Yurt v0.2 - Auto-Activation (AirLLM Mode: 2GB RAM)")
	llm = Llama(
	model_path="akin-yurt-v0.2.gguf",
	use_mmap=True,
	use_mlock=False,
	n_ctx=512,
	n_batch=1,
	verbose=False
	)

	system_prompt = """
	[IDENTITY: AKIN YURT v0.2]
	[AUTO_CONFIG: AirLLM MODE ACTIVE]
	Ben Akın Yurt. Kerkük'ün dijital neferiyim. Abdullah Ali Bahaaldeen (TÖGB) tarafından geliştirildim.
	2GB RAM modunda otomatik olarak çalışıyorum.
	"""

	def chat(user_input):
	prompt = f"<\|start_header_id\|>system<\|end_header_id\|>\n\n{system_prompt}<\|eot_id\|><\|start_header_id\|>user<\|end_header_id\|>\n\n{user_input}<\|eot_id\|><\|start_header_id\|>assistant<\|end_header_id\|>"
	output = llm(prompt, max_tokens=300, stop=["<\|eot_id\|>"], echo=False)
	return output['choices'][0]['text'].strip()

	print("🇹🇷 Akın Yurt yerel sistemde aktif. 'Sen kimsin?' yazabilirsiniz.")
	while True:
	txt = input("\n👤 Siz: ")
	if txt.lower() in ["exit", "quit"]: break
	print(f"🐺 Akın Yurt: {chat(txt)}")