Instructions to use atfai/granite-embedding-311m-multilingual-r2-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 atfai/granite-embedding-311m-multilingual-r2-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 atfai/granite-embedding-311m-multilingual-r2-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf atfai/granite-embedding-311m-multilingual-r2-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf atfai/granite-embedding-311m-multilingual-r2-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf atfai/granite-embedding-311m-multilingual-r2-GGUF:F16

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 atfai/granite-embedding-311m-multilingual-r2-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf atfai/granite-embedding-311m-multilingual-r2-GGUF:F16

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 atfai/granite-embedding-311m-multilingual-r2-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf atfai/granite-embedding-311m-multilingual-r2-GGUF:F16

Use Docker

docker model run hf.co/atfai/granite-embedding-311m-multilingual-r2-GGUF:F16

LM Studio
Jan
Ollama
How to use atfai/granite-embedding-311m-multilingual-r2-GGUF with Ollama:
```
ollama run hf.co/atfai/granite-embedding-311m-multilingual-r2-GGUF:F16
```
Unsloth Desktop
Docker Model Runner
How to use atfai/granite-embedding-311m-multilingual-r2-GGUF with Docker Model Runner:
```
docker model run hf.co/atfai/granite-embedding-311m-multilingual-r2-GGUF:F16
```

Lemonade

How to use atfai/granite-embedding-311m-multilingual-r2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull atfai/granite-embedding-311m-multilingual-r2-GGUF:F16

Run and chat with the model

lemonade run user.granite-embedding-311m-multilingual-r2-GGUF-F16

List all available models

lemonade list

Atomic Chat

sparbz commited on Aug 2

Commit

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1 Parent(s): 1096c50

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@@ -12,9 +12,9 @@ tags:
 # granite-embedding-311m-multilingual-r2-GGUF
-F16 GGUF conversion of [`ibm-granite/granite-embedding-311m-multilingual-r2`](https://huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2) for local serving with [llama.cpp](https://github.com/ggml-org/llama.cpp). Built and independently verified by ATF (Agent Taskflow) for edge-local embedding serving via `atf-serve`.
-All model weights are © IBM, licensed Apache-2.0 (same as the base model).
 ## Why this exists
@@ -59,4 +59,4 @@ curl http://127.0.0.1:8089/v1/embeddings \
 ---
-Built by [ATF](https://atf.ai) — agent orchestration with edge-local model serving.

 # granite-embedding-311m-multilingual-r2-GGUF
+F16 GGUF conversion of [`ibm-granite/granite-embedding-311m-multilingual-r2`](https://huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2) for local serving with [llama.cpp](https://github.com/ggml-org/llama.cpp). Converted and independently verified by ATF (Agent Taskflow) for edge-local embedding serving via `atf-serve`.
+This is a format conversion only — no weights were modified, retrained, or fine-tuned. All model weights are © IBM, licensed Apache-2.0 (same as the base model). This repository is not affiliated with or endorsed by IBM.
 ## Why this exists
 ---
+Converted by [ATF](https://atf.ai) — agent orchestration with edge-local model serving.