Transformers
GGUF
English
LCARS
Star-Trek
128k-Context
mistral
chemistry
biology
finance
legal
art
code
medical
text-generation-inference
Instructions to use mradermacher/LCARS_AI_StarTrek_Computer-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/LCARS_AI_StarTrek_Computer-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/LCARS_AI_StarTrek_Computer-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/LCARS_AI_StarTrek_Computer-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 mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M
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 mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M
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 mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/LCARS_AI_StarTrek_Computer-GGUF with Ollama:
ollama run hf.co/mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/LCARS_AI_StarTrek_Computer-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/LCARS_AI_StarTrek_Computer-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/LCARS_AI_StarTrek_Computer-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.LCARS_AI_StarTrek_Computer-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download LCARS_AI_StarTrek_Computer.Q5_K_S.gguf from mradermacher/LCARS_AI_StarTrek_Computer-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 5 GB
-
https://huggingface.co/mradermacher/LCARS_AI_StarTrek_Computer-GGUF/resolve/main/LCARS_AI_StarTrek_Computer.Q5_K_S.gguf
- Command line
-
hf download hf://mradermacher/LCARS_AI_StarTrek_Computer-GGUF/LCARS_AI_StarTrek_Computer.Q5_K_S.gguf
-
curl -L -o LCARS_AI_StarTrek_Computer.Q5_K_S.gguf https://huggingface.co/mradermacher/LCARS_AI_StarTrek_Computer-GGUF/resolve/main/LCARS_AI_StarTrek_Computer.Q5_K_S.gguf
5 GB
- Xet hash:
- bacd5cf3f7e502dc3f4ac933bc311af7c84f676802ba9cc79b13d410e70e2400
- Size of remote file:
- 5 GB
- SHA256:
- 61af44272973a6c90f4942327c2d9ad952f5134ccadfa4e7cb79c325b10c24f7
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