Instructions to use Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-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 Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF # Run inference directly in the terminal: llama cli -hf Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF # Run inference directly in the terminal: llama cli -hf Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
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 Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF # Run inference directly in the terminal: ./llama-cli -hf Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
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 Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
Use Docker
docker model run hf.co/Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
- LM Studio
- Jan
- Ollama
How to use Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF with Ollama:
ollama run hf.co/Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
- Unsloth Studio
How to use Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF 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 Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF 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 Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF with Docker Model Runner:
docker model run hf.co/Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
- Lemonade
How to use Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
Run and chat with the model
lemonade run user.TinyLlama-1.1b_DPO_Sin_Censura-GGUF-{{QUANT_TAG}}List all available models
lemonade list
TINYLLAMA 1.1b DPO SIN CENSURA
Este es un modelo TinyLlama con el dataset Intel/orca_dpo_pairs pero al que le incluí un dataset personal con contenido NSFW Sin Censura. Ignoro como puede funcionar ya que no he tenido buenas experiencias con los modelos TinyLlama, pero no está de más dejarlo como un proyecto experimental.
Habiendolo probado en el Colab de Koboldcpp no funciona para nada mal:
- Downloads last month
- 26
We're not able to determine the quantization variants.
Model tree for Karldinn/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
Base model
Danielbrdz/Barcenas-Tiny-1.1b-DPO