TFMC/imatrix-dataset-for-japanese-llm
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How to use tokinasin/llm-jp-4-vl-9b-GGUF-v0.1 with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M # Run inference directly in the terminal: llama cli -hf tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M # Run inference directly in the terminal: llama cli -hf tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
# 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 tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
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 tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
docker model run hf.co/tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
How to use tokinasin/llm-jp-4-vl-9b-GGUF-v0.1 with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tokinasin/llm-jp-4-vl-9b-GGUF-v0.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "tokinasin/llm-jp-4-vl-9b-GGUF-v0.1",
"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"
}
}
]
}
]
}'docker model run hf.co/tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
How to use tokinasin/llm-jp-4-vl-9b-GGUF-v0.1 with Ollama:
ollama run hf.co/tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
How to use tokinasin/llm-jp-4-vl-9b-GGUF-v0.1 with Docker Model Runner:
docker model run hf.co/tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
How to use tokinasin/llm-jp-4-vl-9b-GGUF-v0.1 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tokinasin/llm-jp-4-vl-9b-GGUF-v0.1:Q4_K_M
lemonade run user.llm-jp-4-vl-9b-GGUF-v0.1-Q4_K_M
lemonade list
<|end|> 出力で HTTP 500 になる問題を修正当リポジトリに含まれる GGUF およびパッチは非公式のものです。
不具合を発見された場合は、LLM-jp ではなく、当リポジトリの Discussions にて報告をお願いいたします。
git clone --branch v0.3.0 --depth 1 https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
wget https://huggingface.co/tokinasin/llm-jp-4-vl-9b-GGUF-v0.1/resolve/main/llama.cpp-llmjpvl.patch
git apply --check llama.cpp-llmjpvl.patch && git apply llama.cpp-llmjpvl.patch
# パッチ適用後、お好みの方法でビルドしてください
llama-server \
-m llm-jp-4-vl-9b-Q8_0.gguf \
--mmproj mmproj-llm-jp-4-vl-9b-F16.gguf \
--chat-template-kwargs '{"reasoning_effort":"low"}' \
--jinja -c 8192
llama.cpp-llmjpvl.patch: MIT Licensetools/mtmd/mtmd-image.cpp の mtmd_image_preprocessor_llmjpvl)は
llm-jp/llm-jp-4-vl-9b の processing_llmjpvl.py
(Copyright (c) 2026 LLM-jp, Apache License 2.0)の dynamic_preprocess を C++ に移植したものです。*.gguf: Apache License 2.04-bit
6-bit
8-bit
16-bit