Instructions to use featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF",
	filename="szymonrucinski-Curie-7B-v1-IQ4_XS.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf featherless-ai-quants/szymonrucinski-Curie-7B-v1-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/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf featherless-ai-quants/szymonrucinski-Curie-7B-v1-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/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use featherless-ai-quants/szymonrucinski-Curie-7B-v1-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/szymonrucinski-Curie-7B-v1-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M

Ollama
How to use featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF with Ollama:
```
ollama run hf.co/featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M
```

Unsloth Studio

How to use featherless-ai-quants/szymonrucinski-Curie-7B-v1-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 featherless-ai-quants/szymonrucinski-Curie-7B-v1-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 featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF with Docker Model Runner:
```
docker model run hf.co/featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M
```

Lemonade

How to use featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull featherless-ai-quants/szymonrucinski-Curie-7B-v1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.szymonrucinski-Curie-7B-v1-GGUF-Q4_K_M

List all available models

lemonade list

szymonrucinski-Curie-7B-v1-GGUF

File size: 3,131 Bytes

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---
base_model: szymonrucinski/Curie-7B-v1
pipeline_tag: text-generation
quantized_by: featherless-ai-quants
---

# szymonrucinski/Curie-7B-v1 GGUF Quantizations 🚀

![Featherless AI Quants](./featherless-quants.png)

*Optimized GGUF quantization files for enhanced model performance*

> Powered by [Featherless AI](https://featherless.ai) - run any model you'd like for a simple small fee.
---

## Available Quantizations 📊

| Quantization Type | File | Size |
|-------------------|------|------|
| IQ4_XS | [szymonrucinski-Curie-7B-v1-IQ4_XS.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-IQ4_XS.gguf) | 3761.66 MB |
| Q2_K | [szymonrucinski-Curie-7B-v1-Q2_K.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q2_K.gguf) | 2593.27 MB |
| Q3_K_L | [szymonrucinski-Curie-7B-v1-Q3_K_L.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q3_K_L.gguf) | 3644.97 MB |
| Q3_K_M | [szymonrucinski-Curie-7B-v1-Q3_K_M.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q3_K_M.gguf) | 3355.97 MB |
| Q3_K_S | [szymonrucinski-Curie-7B-v1-Q3_K_S.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q3_K_S.gguf) | 3017.97 MB |
| Q4_K_M | [szymonrucinski-Curie-7B-v1-Q4_K_M.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q4_K_M.gguf) | 4166.07 MB |
| Q4_K_S | [szymonrucinski-Curie-7B-v1-Q4_K_S.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q4_K_S.gguf) | 3948.57 MB |
| Q5_K_M | [szymonrucinski-Curie-7B-v1-Q5_K_M.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q5_K_M.gguf) | 4893.69 MB |
| Q5_K_S | [szymonrucinski-Curie-7B-v1-Q5_K_S.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q5_K_S.gguf) | 4766.19 MB |
| Q6_K | [szymonrucinski-Curie-7B-v1-Q6_K.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q6_K.gguf) | 5666.80 MB |
| Q8_0 | [szymonrucinski-Curie-7B-v1-Q8_0.gguf](https://huggingface.co/featherless-ai-quants/szymonrucinski/Curie-7B-v1-GGUF/blob/main/szymonrucinski-Curie-7B-v1-Q8_0.gguf) | 7339.34 MB |


---

## ⚡ Powered by [Featherless AI](https://featherless.ai)

### Key Features

- 🔥 **Instant Hosting** - Deploy any Llama model on HuggingFace instantly
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---

**Links:**  
[Get Started](https://featherless.ai) | [Documentation](https://featherless.ai/docs) | [Models](https://featherless.ai/models)