Granite Quantized Models
Collection
Quantized versions of IBM Granite models. • 50 items • Updated • 36
How to use ibm-granite/granite-4.0-1b-base-GGUF with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ibm-granite/granite-4.0-1b-base-GGUF", device_map="auto")How to use ibm-granite/granite-4.0-1b-base-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf ibm-granite/granite-4.0-1b-base-GGUF: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 ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ibm-granite/granite-4.0-1b-base-GGUF: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 ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M
docker model run hf.co/ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M
How to use ibm-granite/granite-4.0-1b-base-GGUF with Ollama:
ollama run hf.co/ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M
How to use ibm-granite/granite-4.0-1b-base-GGUF 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 ibm-granite/granite-4.0-1b-base-GGUF 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 ibm-granite/granite-4.0-1b-base-GGUF to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ibm-granite/granite-4.0-1b-base-GGUF to start chatting
How to use ibm-granite/granite-4.0-1b-base-GGUF with Docker Model Runner:
docker model run hf.co/ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M
How to use ibm-granite/granite-4.0-1b-base-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ibm-granite/granite-4.0-1b-base-GGUF:Q4_K_M
lemonade run user.granite-4.0-1b-base-GGUF-Q4_K_M
lemonade list
This repository contains models that have been converted to the GGUF format with various quantizations from an IBM Granite base model.
Please reference the base model's full model card here: https://huggingface.co/ibm-granite/granite-4.0-1b-base
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Base model
ibm-granite/granite-4.0-1b-base