Instructions to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF: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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF: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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M

Use Docker

docker model run hf.co/AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M

Ollama
How to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF with Ollama:
```
ollama run hf.co/AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M
```

Unsloth Studio

How to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF 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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF 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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF to start chatting

How to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF: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": "AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-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 "AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-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"

Docker Model Runner
How to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF with Docker Model Runner:
```
docker model run hf.co/AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M
```

Lemonade

How to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-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 AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

GGUF cannot be loaded in LM Studio (missing tensor blk.64.attn_norm.weight)

by omerPenbegul - opened 4 days ago

Discussion

omerPenbegul

4 days ago

Hello,

Thank you for sharing this model.

I downloaded the GGUF model from:

https://huggingface.co/AlicanKiraz0/Mizan-27B-Turkish-Legal-LLM-Q4_K_M-GGUF

When I try to load it in LM Studio 1.0.4 (Build 9), it fails with the following error:

error loading model:
missing tensor 'blk.64.attn_norm.weight'

The downloaded GGUF file size is approximately 16.55 GB, so the download appears to be complete.

Could you please check whether the GGUF file was exported correctly or if there is an issue with the model metadata?

Thank you.

AlicanKiraz0

Owner 4 days ago

Geri bildirim ve ayrıntılı teşhis için teşekkürler. Sorun giderildi ve düzeltilmiş dosya main dalında yayımlandı (commit f60defc6198ccf95bfd1533e47da8b6d7127da57). Yeni GGUF SHA256: 9598c93d900078fe40c16887229be65dce8c772602522f917f655dec3a1b5477. Metadata artık block_count=64, nextn_predict_layers alanı yok, en yüksek blok blk.63 ve tokenizer.chat_template gömülü. Dosya llama.cpp b10227, Ollama ve LM Studio ile yükleme/üretim testlerinden geçti. Lütfen eski dosyayı silip yeniden indirin; sorun sürerse yeni çalışma zamanı günlüğüyle tekrar açabilirsiniz.

AlicanKiraz0 changed discussion status to closed 4 days ago

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