Instructions to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-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 raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: llama cli -hf raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: llama cli -hf raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF: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 raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: ./llama-cli -hf raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF: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 raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
Use Docker
docker model run hf.co/raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
- LM Studio
- Jan
- Ollama
How to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF with Ollama:
ollama run hf.co/raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
- Unsloth Desktop
- Pi
How to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF with Docker Model Runner:
docker model run hf.co/raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
- Lemonade
How to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
Run and chat with the model
lemonade run user.Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF-Q6_K
List all available models
lemonade list
- Hermes Agent
How to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF:Q6_K" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF
This model was converted to GGUF format from Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF --hf-file llama-3.1-8b-lexi-uncensored-v2-q6_k.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF --hf-file llama-3.1-8b-lexi-uncensored-v2-q6_k.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF --hf-file llama-3.1-8b-lexi-uncensored-v2-q6_k.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF --hf-file llama-3.1-8b-lexi-uncensored-v2-q6_k.gguf -c 2048
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Model tree for raissadev/Llama-3.1-8B-Lexi-Uncensored-V2-Q6_K-GGUF
Base model
Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard77.920
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard29.690
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard16.920
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.360
- acc_norm on MuSR (0-shot)Open LLM Leaderboard7.770
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.900