Instructions to use afrideva/DialoGPT-medium-Oshiwambo-Bot-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 afrideva/DialoGPT-medium-Oshiwambo-Bot-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 afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf afrideva/DialoGPT-medium-Oshiwambo-Bot-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 afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf afrideva/DialoGPT-medium-Oshiwambo-Bot-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 afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf afrideva/DialoGPT-medium-Oshiwambo-Bot-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 afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M
Use Docker
docker model run hf.co/afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M
- Ollama
How to use afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF with Ollama:
ollama run hf.co/afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF with Docker Model Runner:
docker model run hf.co/afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M
- Lemonade
How to use afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DialoGPT-medium-Oshiwambo-Bot-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
jpandeinge/DialoGPT-medium-Oshiwambo-Bot-GGUF
Quantized GGUF model files for DialoGPT-medium-Oshiwambo-Bot from jpandeinge
| Name | Quant method | Size |
|---|---|---|
| dialogpt-medium-oshiwambo-bot.fp16.gguf | fp16 | 328.09 MB |
| dialogpt-medium-oshiwambo-bot.q2_k.gguf | q2_k | 81.18 MB |
| dialogpt-medium-oshiwambo-bot.q3_k_m.gguf | q3_k_m | 95.45 MB |
| dialogpt-medium-oshiwambo-bot.q4_k_m.gguf | q4_k_m | 110.16 MB |
| dialogpt-medium-oshiwambo-bot.q5_k_m.gguf | q5_k_m | 124.09 MB |
| dialogpt-medium-oshiwambo-bot.q6_k.gguf | q6_k | 135.90 MB |
| dialogpt-medium-oshiwambo-bot.q8_0.gguf | q8_0 | 175.36 MB |
Original Model Card:
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Model tree for afrideva/DialoGPT-medium-Oshiwambo-Bot-GGUF
Base model
jpandeinge/DialoGPT-medium-Oshiwambo-Bot