Uncensored_Llama
Collection
2 items • Updated
How to use ICEPVP8977/Uncensored_Llama_3.1_8B with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ICEPVP8977/Uncensored_Llama_3.1_8B", device_map="auto")How to use ICEPVP8977/Uncensored_Llama_3.1_8B with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16 # Run inference directly in the terminal: llama cli -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16 # Run inference directly in the terminal: llama cli -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16
# 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 ICEPVP8977/Uncensored_Llama_3.1_8B:F16 # Run inference directly in the terminal: ./llama-cli -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16
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 ICEPVP8977/Uncensored_Llama_3.1_8B:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16
docker model run hf.co/ICEPVP8977/Uncensored_Llama_3.1_8B:F16
How to use ICEPVP8977/Uncensored_Llama_3.1_8B with Ollama:
ollama run hf.co/ICEPVP8977/Uncensored_Llama_3.1_8B:F16
How to use ICEPVP8977/Uncensored_Llama_3.1_8B with Unsloth Studio:
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 ICEPVP8977/Uncensored_Llama_3.1_8B to start chatting
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 ICEPVP8977/Uncensored_Llama_3.1_8B to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ICEPVP8977/Uncensored_Llama_3.1_8B to start chatting
How to use ICEPVP8977/Uncensored_Llama_3.1_8B with Docker Model Runner:
docker model run hf.co/ICEPVP8977/Uncensored_Llama_3.1_8B:F16
How to use ICEPVP8977/Uncensored_Llama_3.1_8B with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ICEPVP8977/Uncensored_Llama_3.1_8B:F16
lemonade run user.Uncensored_Llama_3.1_8B-F16
lemonade list
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16# Run inference directly in the terminal:
llama cli -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16# 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 ICEPVP8977/Uncensored_Llama_3.1_8B:F16# Run inference directly in the terminal:
./llama-cli -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16git 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 ICEPVP8977/Uncensored_Llama_3.1_8B:F16# Run inference directly in the terminal:
./build/bin/llama-cli -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16docker model run hf.co/ICEPVP8977/Uncensored_Llama_3.1_8B:F16No model card
4-bit
16-bit
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16# Run inference directly in the terminal: llama cli -hf ICEPVP8977/Uncensored_Llama_3.1_8B:F16