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
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -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
- Llama new
- 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.Q4_K_M.gguf from mradermacher/LCARS_AI_StarTrek_Computer-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 4.37 GB
-
https://huggingface.co/mradermacher/LCARS_AI_StarTrek_Computer-GGUF/resolve/main/LCARS_AI_StarTrek_Computer.Q4_K_M.gguf
- Command line
-
hf download hf://mradermacher/LCARS_AI_StarTrek_Computer-GGUF/LCARS_AI_StarTrek_Computer.Q4_K_M.gguf
-
curl -L -o LCARS_AI_StarTrek_Computer.Q4_K_M.gguf https://huggingface.co/mradermacher/LCARS_AI_StarTrek_Computer-GGUF/resolve/main/LCARS_AI_StarTrek_Computer.Q4_K_M.gguf
4.37 GB
- Xet hash:
- 50991e40d771ac735e0dded7ddb205529800c063fa1d238457abd49a0c580ff5
- Size of remote file:
- 4.37 GB
- SHA256:
- 1e6e7ca52f7a6def4a20f716220878fb3d284262f7fc617101dffdb687de93d9
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