Upload folder using huggingface_hub eaa6d8e verified
๐ฅ.S@๐ฟโโ๐ชโฦฆโ๐ด-PO๐ผNT-๐
ฐ๐
ธ commited on
How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-text-to-text", model="ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp")
messages = [
{
"role": "user",
"content": [
{"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
{"type": "text", "text": "What animal is on the candy?"}
]
},
]
pipe(text=messages) # Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp")
model = AutoModelForMultimodalLM.from_pretrained("ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp")
messages = [
{
"role": "user",
"content": [
{"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
{"type": "text", "text": "What animal is on the candy?"}
]
},
]
inputs = processor.apply_chat_template(
messages,
add_generation_prompt=True,
tokenize=True,
return_dict=True,
return_tensors="pt",
).to(model.device)
outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp", filename="martin-v1-Q8_0.gguf", )
llm.create_chat_completion(
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"
}
}
]
}
]
)How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0 # Run inference directly in the terminal: llama-cli -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0 # Run inference directly in the terminal: llama-cli -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
# 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 ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
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 ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
docker model run hf.co/ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp",
"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/ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp",
"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 run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp",
"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"
}
}
]
}
]
}'How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Ollama:
ollama run hf.co/ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Unsloth Studio:
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 ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp to start chatting
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 ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp to start chatting
How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Docker Model Runner:
docker model run hf.co/ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
lemonade run user.MR_MARTIN_31b_V1.0_Gemma-4-base-ftp-Q8_0
lemonade list