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Instructions to use Novaciano/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 Novaciano/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 Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
# Run inference directly in the terminal:
llama cli -hf Novaciano/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 Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
# Run inference directly in the terminal:
llama cli -hf Novaciano/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 Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
# Run inference directly in the terminal:
./llama-cli -hf Novaciano/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 Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF

Use Docker

docker model run hf.co/Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF

LM Studio
Jan
Ollama
How to use Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF with Ollama:
```
ollama run hf.co/Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
```

Unsloth Studio

How to use Novaciano/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 Novaciano/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 Novaciano/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 Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF with Docker Model Runner:
```
docker model run hf.co/Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF
```

Lemonade

How to use Novaciano/TinyLlama-1.1b_DPO_Sin_Censura-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Novaciano/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-GGUF / README.md

Novaciano

Update README.md

80a85ab verified over 1 year ago

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metadata

license: apache-2.0
datasets:
  - Intel/orca_dpo_pairs
language:
  - en
  - es
base_model: Danielbrdz/Barcenas-Tiny-1.1b-DPO
tags:
  - llama-cpp
  - NSFW
  - Uncensored
  - 1b
  - 4-bit
  - not-for-all-audiences
metrics:
  - lvwerra/accuracy_score
quantized_by: Novaciano

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: