Instructions to use SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit 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 SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit
# Run inference directly in the terminal:
llama cli -hf SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit
# Run inference directly in the terminal:
llama cli -hf SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit

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 SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit
# Run inference directly in the terminal:
./llama-cli -hf SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit

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 SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit

Use Docker

docker model run hf.co/SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit

LM Studio
Jan

vLLM

How to use SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit

Ollama
How to use SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit with Ollama:
```
ollama run hf.co/SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit
```
Unsloth Desktop
Docker Model Runner
How to use SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit with Docker Model Runner:
```
docker model run hf.co/SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit
```

Lemonade

How to use SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit

Run and chat with the model

lemonade run user.goon-cave-7b-instruct-bnb-4bit-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit

A compact Llama-architecture model in GGUF format, exported as I8 tensors for straightforward inspection and inference.

Model details

Property	Value
Architecture	Llama
Tensor precision	I8
Format	GGUF v3

Architecture parameters (context length, embedding length, block count, etc.) are declared in the GGUF metadata and rendered by the HF viewer.

Usage

llama.cpp

llama-cli -m goon-cave-7b-instruct-v1.0.gguf -p "Your prompt here" -n 256

Python (llama-cpp-python)

from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit",
    filename="goon-cave-7b-instruct-v1.0.gguf",
)
output = llm("Q: What is the meaning of life? A:", max_tokens=64)
print(output["choices"][0]["text"])

Download

hf download SADASDASDSASADSADSADSAD/goon-cave-7b-instruct-bnb-4bit \
  --include "*.gguf" --local-dir ./

Downloads last month: 130

Safetensors

Model size

0.1B params

Tensor type