Instructions to use GoofyLM/N1-Quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use GoofyLM/N1-Quant with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="GoofyLM/N1-Quant",
	filename="N1-auto.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 GoofyLM/N1-Quant with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf GoofyLM/N1-Quant:BF16
# Run inference directly in the terminal:
llama-cli -hf GoofyLM/N1-Quant:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf GoofyLM/N1-Quant:BF16
# Run inference directly in the terminal:
llama-cli -hf GoofyLM/N1-Quant:BF16

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 GoofyLM/N1-Quant:BF16
# Run inference directly in the terminal:
./llama-cli -hf GoofyLM/N1-Quant:BF16

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 GoofyLM/N1-Quant:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf GoofyLM/N1-Quant:BF16

Use Docker

docker model run hf.co/GoofyLM/N1-Quant:BF16

LM Studio
Jan

vLLM

How to use GoofyLM/N1-Quant with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "GoofyLM/N1-Quant"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GoofyLM/N1-Quant",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/GoofyLM/N1-Quant:BF16

Ollama
How to use GoofyLM/N1-Quant with Ollama:
```
ollama run hf.co/GoofyLM/N1-Quant:BF16
```

Unsloth Studio

How to use GoofyLM/N1-Quant 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 GoofyLM/N1-Quant 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 GoofyLM/N1-Quant to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for GoofyLM/N1-Quant to start chatting

Docker Model Runner
How to use GoofyLM/N1-Quant with Docker Model Runner:
```
docker model run hf.co/GoofyLM/N1-Quant:BF16
```

Lemonade

How to use GoofyLM/N1-Quant with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull GoofyLM/N1-Quant:BF16

Run and chat with the model

lemonade run user.N1-Quant-BF16

List all available models

lemonade list

FlameF0X commited on Jun 15, 2025

Commit

4a336db

verified ·

1 Parent(s): 829bf5f

Upload 7 files

Browse files

Files changed (8) hide show

.gitattributes +7 -0
N1-auto.gguf +3 -0
N1-bf16.gguf +3 -0
N1-f16.gguf +3 -0
N1-f32.gguf +3 -0
N1-q8_0.gguf +3 -0
N1-tq1_0.gguf +3 -0
N1-tq2_0.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -35,3 +35,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 GoofyLM-N1.gguf filter=lfs diff=lfs merge=lfs -text
 N1_Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

 *tfevents* filter=lfs diff=lfs merge=lfs -text
 GoofyLM-N1.gguf filter=lfs diff=lfs merge=lfs -text
 N1_Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+N1-auto.gguf filter=lfs diff=lfs merge=lfs -text
+N1-bf16.gguf filter=lfs diff=lfs merge=lfs -text
+N1-f16.gguf filter=lfs diff=lfs merge=lfs -text
+N1-f32.gguf filter=lfs diff=lfs merge=lfs -text
+N1-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+N1-tq1_0.gguf filter=lfs diff=lfs merge=lfs -text
+N1-tq2_0.gguf filter=lfs diff=lfs merge=lfs -text

N1-auto.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b871b08157dfda2c8f4053aa539cc8946d7e16e606ef5d29b256b4c383f0ce73
+size 270885568

N1-bf16.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b871b08157dfda2c8f4053aa539cc8946d7e16e606ef5d29b256b4c383f0ce73
+size 270885568

N1-f16.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7ddb24afed4f4fbd189e8edc120fc7ed46075e7e9bc575624ad275889d6e58f8
+size 270885568

N1-f32.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:50d454fbf8471608768b50ec8239d06c91b39bfef5ad4288d39192c49890f717
+size 539845312

N1-q8_0.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:84e3225f8ed3d9b9b9bd01a586b20d1f3cc676c70b919385a2c5090421673fa0
+size 144810688

N1-tq1_0.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7387e936a9d8b50a77e64e83df7c1af5546cb93a66ed3d50ef55d83dd99a6380
+size 223400128

N1-tq2_0.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3a86c110daf12f1b6103b36cbef56f3932e4df7b897daa4efd3ca24f4984ff71
+size 224644288