Libraries Diffusers How to use 8clabs/models-moved with Diffusers:
pip install -U diffusers transformers accelerate import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("8clabs/models-moved", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0] llama-cpp-python How to use 8clabs/models-moved with llama-cpp-python:
# !pip install llama-cpp-python
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="8clabs/models-moved",
filename="clip/t5-v1_1-xxl-encoder-Q6_K.gguf",
)
output = llm(
"Once upon a time,",
max_tokens=512,
echo=True
)
print(output) Notebooks Google Colab Kaggle Local Apps llama.cpp How to use 8clabs/models-moved with llama.cpp:
Install from brew brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf 8clabs/models-moved:Q6_K
# Run inference directly in the terminal:
llama-cli -hf 8clabs/models-moved:Q6_K Install from WinGet (Windows) winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf 8clabs/models-moved:Q6_K
# Run inference directly in the terminal:
llama-cli -hf 8clabs/models-moved:Q6_K 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 8clabs/models-moved:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf 8clabs/models-moved:Q6_K 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 8clabs/models-moved:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 8clabs/models-moved:Q6_K Use Docker docker model run hf.co/8clabs/models-moved:Q6_K LM Studio Jan Ollama How to use 8clabs/models-moved with Ollama:
ollama run hf.co/8clabs/models-moved:Q6_K Unsloth Studio new How to use 8clabs/models-moved 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 8clabs/models-moved 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 8clabs/models-moved to start chatting Using HuggingFace Spaces for Unsloth # No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for 8clabs/models-moved to start chatting Docker Model Runner How to use 8clabs/models-moved with Docker Model Runner:
docker model run hf.co/8clabs/models-moved:Q6_K Lemonade How to use 8clabs/models-moved with Lemonade:
Pull the model # Download Lemonade from https://lemonade-server.ai/
lemonade pull 8clabs/models-moved:Q6_K Run and chat with the model lemonade run user.models-moved-Q6_K List all available models lemonade list 
