Instructions to use Ada321/NemoPony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Ada321/NemoPony with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Ada321/NemoPony", filename="NemoPony_Test_E2.Q8_0.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Ada321/NemoPony with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Ada321/NemoPony:Q8_0 # Run inference directly in the terminal: llama-cli -hf Ada321/NemoPony:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Ada321/NemoPony:Q8_0 # Run inference directly in the terminal: llama-cli -hf Ada321/NemoPony:Q8_0
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 Ada321/NemoPony:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Ada321/NemoPony:Q8_0
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 Ada321/NemoPony:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Ada321/NemoPony:Q8_0
Use Docker
docker model run hf.co/Ada321/NemoPony:Q8_0
- LM Studio
- Jan
- Ollama
How to use Ada321/NemoPony with Ollama:
ollama run hf.co/Ada321/NemoPony:Q8_0
- Unsloth Studio new
How to use Ada321/NemoPony 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 Ada321/NemoPony 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 Ada321/NemoPony to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Ada321/NemoPony to start chatting
- Docker Model Runner
How to use Ada321/NemoPony with Docker Model Runner:
docker model run hf.co/Ada321/NemoPony:Q8_0
- Lemonade
How to use Ada321/NemoPony with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Ada321/NemoPony:Q8_0
Run and chat with the model
lemonade run user.NemoPony-Q8_0
List all available models
lemonade list
Upload ST Context Template.json
Browse files- ST Context Template.json +12 -0
ST Context Template.json
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{
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"story_string": "{{#if system}}{{system}}\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{personality}}\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}",
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"example_separator": "",
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"chat_start": "",
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"use_stop_strings": false,
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"allow_jailbreak": false,
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"always_force_name2": false,
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"trim_sentences": false,
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"include_newline": false,
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"single_line": false,
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"name": "Blank"
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}
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