Instructions to use stamsam/Instella-Prometheus-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 stamsam/Instella-Prometheus-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 stamsam/Instella-Prometheus-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf stamsam/Instella-Prometheus-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 stamsam/Instella-Prometheus-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf stamsam/Instella-Prometheus-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 stamsam/Instella-Prometheus-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf stamsam/Instella-Prometheus-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 stamsam/Instella-Prometheus-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf stamsam/Instella-Prometheus-GGUF:Q4_K_M

Use Docker

docker model run hf.co/stamsam/Instella-Prometheus-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use stamsam/Instella-Prometheus-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "stamsam/Instella-Prometheus-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "stamsam/Instella-Prometheus-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/stamsam/Instella-Prometheus-GGUF:Q4_K_M

Ollama
How to use stamsam/Instella-Prometheus-GGUF with Ollama:
```
ollama run hf.co/stamsam/Instella-Prometheus-GGUF:Q4_K_M
```

Unsloth Studio

How to use stamsam/Instella-Prometheus-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 stamsam/Instella-Prometheus-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 stamsam/Instella-Prometheus-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for stamsam/Instella-Prometheus-GGUF to start chatting

Docker Model Runner
How to use stamsam/Instella-Prometheus-GGUF with Docker Model Runner:
```
docker model run hf.co/stamsam/Instella-Prometheus-GGUF:Q4_K_M
```

Lemonade

How to use stamsam/Instella-Prometheus-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull stamsam/Instella-Prometheus-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Instella-Prometheus-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Instella-Prometheus-GGUF / README.md

stamsam

Upload README.md with huggingface_hub

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	---
	license: apache-2.0
	base_model:
	- stamsam/Instella-Prometheus
	- amd/Instella-MoE-16B-A3B-SFT
	tags:
	- gguf
	- llama.cpp
	- instella
	- moe
	- coding
	- python
	- text-generation
	- quantized
	pipeline_tag: text-generation
	library_name: gguf
	---

	# Instella-Prometheus GGUF 🔥

	![Instella-Prometheus](prometheus.png)

	The code-fire, packed for local inference.

	This is the dedicated GGUF release of [Instella-Prometheus](https://huggingface.co/stamsam/Instella-Prometheus), a merged, standalone coding model built from AMD's Instella-MoE-16B-A3B-SFT. Prometheus is a 16B-total / ~2.8B-active MoE model, distilled for direct, code-first answers under a bare user prompt:

	- No system prompt required
	- No thinking-tag suppression or decoder bans
	- No LoRA adapter or PEFT dependency
	- Designed for llama.cpp and compatible GGUF runtimes

	## Choose your quantization

	\| Quantization \| File \| Approx. size \| Use when \|
	\|---\|---\|---:\|---\|
	\| Q8_0 \| `Instella-Prometheus-Q8_0.gguf` \| 16.9 GB \| You want near-full-weight quality \|
	\| Q4_K_M \| `Instella-Prometheus-Q4_K_M.gguf` \| 9.4 GB \| You want the best quality/size balance \|
	\| Q3_K_M \| `Instella-Prometheus-Q3_K_M.gguf` \| 8.2 GB \| You need the lowest memory footprint of these three \|

	All files are in the repository root so the Hugging Face Hub can identify and display them as GGUF quantized variants.

	## llama.cpp

	```bash
	# Example: Q4_K_M
	./llama-cli \
	-m Instella-Prometheus-Q4_K_M.gguf \
	-p "Write a Python function to merge overlapping intervals." \
	-n 1024
	```

	For chat frontends, use the model's built-in GGUF metadata and chat template when supported by the runtime. The intended contract is simply: user task in, clean answer out.

	## What changed from base?

	On a 12-task bare-user Python suite:

	\| Metric \| Base Instella \| Instella-Prometheus \|
	\|---\|---:\|---:\|
	\| Code blocks \| 2 / 12 \| 12 / 12 \|
	\| Syntax valid \| 2 / 12 \| 12 / 12 \|
	\| Functional passes \| 2 / 12 \| 10 / 12 \|
	\| Think-tag leakage \| 12 / 12 \| 0 / 12 \|
	\| Natural EOS \| 2 / 12 \| 12 / 12 \|

	The full Transformers release, training details, dataset provenance, and evaluation notes are available in the [canonical model repository](https://huggingface.co/stamsam/Instella-Prometheus).

	## License

	Apache-2.0. See the canonical repository for base-model and dataset acknowledgements.

	The fire belongs to them. The torch is yours.