Instructions to use BasedBots/cosmo-1b-Q8_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 BasedBots/cosmo-1b-Q8_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 BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0

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 BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0

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 BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0

Use Docker

docker model run hf.co/BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0

LM Studio
Jan

vLLM

How to use BasedBots/cosmo-1b-Q8_0-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BasedBots/cosmo-1b-Q8_0-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BasedBots/cosmo-1b-Q8_0-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0

Ollama
How to use BasedBots/cosmo-1b-Q8_0-GGUF with Ollama:
```
ollama run hf.co/BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0
```
Unsloth Desktop
Docker Model Runner
How to use BasedBots/cosmo-1b-Q8_0-GGUF with Docker Model Runner:
```
docker model run hf.co/BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0
```

Lemonade

How to use BasedBots/cosmo-1b-Q8_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BasedBots/cosmo-1b-Q8_0-GGUF:Q8_0

Run and chat with the model

lemonade run user.cosmo-1b-Q8_0-GGUF-Q8_0

List all available models

lemonade list

Atomic Chat

BasedBots/cosmo-1b-Q8_0-GGUF

This model was converted to GGUF format from HuggingFaceTB/cosmo-1b using llama.cpp. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo BasedBots/cosmo-1b-Q8_0-GGUF --model cosmo-1b.Q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo BasedBots/cosmo-1b-Q8_0-GGUF --model cosmo-1b.Q8_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m cosmo-1b.Q8_0.gguf -n 128

Downloads last month: 12

GGUF

Model size

2B params

Architecture

llama

Hardware compatibility

8-bit

Dataset used to train BasedBots/cosmo-1b-Q8_0-GGUF

Collection including BasedBots/cosmo-1b-Q8_0-GGUF

cosmo-1b-GGUFs

Collection

12 items • Updated Apr 23, 2024