Instructions to use mmnga/karakuri-vl-32b-thinking-2507-exp-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mmnga/karakuri-vl-32b-thinking-2507-exp-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mmnga/karakuri-vl-32b-thinking-2507-exp-gguf",
	filename="karakuri-vl-32b-thinking-2507-exp-IQ3_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mmnga/karakuri-vl-32b-thinking-2507-exp-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 mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mmnga/karakuri-vl-32b-thinking-2507-exp-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 mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mmnga/karakuri-vl-32b-thinking-2507-exp-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 mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mmnga/karakuri-vl-32b-thinking-2507-exp-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 mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M

Use Docker

docker model run hf.co/mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use mmnga/karakuri-vl-32b-thinking-2507-exp-gguf with Ollama:
```
ollama run hf.co/mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M
```

Unsloth Studio

How to use mmnga/karakuri-vl-32b-thinking-2507-exp-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 mmnga/karakuri-vl-32b-thinking-2507-exp-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 mmnga/karakuri-vl-32b-thinking-2507-exp-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mmnga/karakuri-vl-32b-thinking-2507-exp-gguf to start chatting

Atomic Chat new
Docker Model Runner
How to use mmnga/karakuri-vl-32b-thinking-2507-exp-gguf with Docker Model Runner:
```
docker model run hf.co/mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M
```

Lemonade

How to use mmnga/karakuri-vl-32b-thinking-2507-exp-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mmnga/karakuri-vl-32b-thinking-2507-exp-gguf:Q4_K_M

Run and chat with the model

lemonade run user.karakuri-vl-32b-thinking-2507-exp-gguf-Q4_K_M

List all available models

lemonade list

mmnga commited on Jul 9, 2025

Commit

f5d25a4

verified ·

1 Parent(s): 831e190

Add files using upload-large-folder tool

Browse files

Files changed (3) hide show

.gitattributes +1 -0
README.md +26 -0
karakuri-vl-32b-thinking-2507-exp-IQ4_NL.gguf +3 -0

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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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 *.zip filter=lfs diff=lfs merge=lfs -text
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+karakuri-vl-32b-thinking-2507-exp-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text

README.md ADDED Viewed

	@@ -0,0 +1,26 @@

+---
+license: apache-2.0
+language:
+- en
+- ja
+datasets:
+- TFMC/imatrix-dataset-for-japanese-llm
+base_model:
+- karakuri-ai/karakuri-vl-32b-thinking-2507-exp
+---
+# karakuri-vl-32b-thinking-2507-exp-gguf
+[karakuri-aiさんが公開しているkarakuri-vl-32b-thinking-2507-exp](https://huggingface.co/karakuri-ai/karakuri-vl-32b-thinking-2507-exp)のggufフォーマット変換版です。
+imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
+## Usage
+```
+git clone https://github.com/ggml-org/llama.cpp.git
+cd llama.cpp
+cmake -B build -DGGML_CUDA=ON
+cmake --build build --config Release
+build/bin/llama-cli -m 'karakuri-vl-32b-thinking-2507-exp-gguf' -n 128 -c 128 -p 'あなたはプロの料理人です。レシピを教えて' -cnv
+```

karakuri-vl-32b-thinking-2507-exp-IQ4_NL.gguf ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
+oid sha256:91e04c317cc2d7081881502e074c54679fb1e66a35b3afb72745e67e4e06989e
+size 18682172992