Instructions to use featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-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 featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-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 featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-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 featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-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 featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-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 featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M

Use Docker

docker model run hf.co/featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-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": "featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M

Ollama
How to use featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF with Ollama:
```
ollama run hf.co/featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF with Docker Model Runner:
```
docker model run hf.co/featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M
```

Lemonade

How to use featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull featherless-ai-quants/ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

ProdeusUnity-Astral-Fusion-8b-v0.0-GGUF / README.md

m8than

Upload folder using huggingface_hub

808da32 verified almost 2 years ago

3.41 kB

base_model: ProdeusUnity-Astral-Fusion-8b-v0.0
pipeline_tag: text-generation
quantized_by: featherless-ai-quants

ProdeusUnity-Astral-Fusion-8b-v0.0 GGUF Quantizations 🚀

Optimized GGUF quantization files for enhanced model performance

Powered by Featherless AI - run any model you'd like for a simple small fee.

Available Quantizations 📊

Quantization Type	File	Size
IQ4_XS	ProdeusUnity-Astral-Fusion-8b-v0.0-IQ4_XS.gguf	4276.62 MB
Q2_K	ProdeusUnity-Astral-Fusion-8b-v0.0-Q2_K.gguf	3031.86 MB
Q3_K_L	ProdeusUnity-Astral-Fusion-8b-v0.0-Q3_K_L.gguf	4121.74 MB
Q3_K_M	ProdeusUnity-Astral-Fusion-8b-v0.0-Q3_K_M.gguf	3832.74 MB
Q3_K_S	ProdeusUnity-Astral-Fusion-8b-v0.0-Q3_K_S.gguf	3494.74 MB
Q4_K_M	ProdeusUnity-Astral-Fusion-8b-v0.0-Q4_K_M.gguf	4692.78 MB
Q4_K_S	ProdeusUnity-Astral-Fusion-8b-v0.0-Q4_K_S.gguf	4475.28 MB
Q5_K_M	ProdeusUnity-Astral-Fusion-8b-v0.0-Q5_K_M.gguf	5467.40 MB
Q5_K_S	ProdeusUnity-Astral-Fusion-8b-v0.0-Q5_K_S.gguf	5339.90 MB
Q6_K	ProdeusUnity-Astral-Fusion-8b-v0.0-Q6_K.gguf	6290.44 MB
Q8_0	ProdeusUnity-Astral-Fusion-8b-v0.0-Q8_0.gguf	8145.11 MB

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