Instructions to use Macmill/Fyve-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Macmill/Fyve-AI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Macmill/Fyve-AI", filename="fyve-ai.Q4_K_M.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Macmill/Fyve-AI with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Macmill/Fyve-AI:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Macmill/Fyve-AI:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Macmill/Fyve-AI:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Macmill/Fyve-AI: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 Macmill/Fyve-AI:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Macmill/Fyve-AI: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 Macmill/Fyve-AI:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Macmill/Fyve-AI:Q4_K_M
Use Docker
docker model run hf.co/Macmill/Fyve-AI:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Macmill/Fyve-AI with Ollama:
ollama run hf.co/Macmill/Fyve-AI:Q4_K_M
- Unsloth Studio new
How to use Macmill/Fyve-AI 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 Macmill/Fyve-AI 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 Macmill/Fyve-AI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Macmill/Fyve-AI to start chatting
- Docker Model Runner
How to use Macmill/Fyve-AI with Docker Model Runner:
docker model run hf.co/Macmill/Fyve-AI:Q4_K_M
- Lemonade
How to use Macmill/Fyve-AI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Macmill/Fyve-AI:Q4_K_M
Run and chat with the model
lemonade run user.Fyve-AI-Q4_K_M
List all available models
lemonade list
Updated parameters
Browse files
Modelfile
CHANGED
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@@ -1,6 +1,6 @@
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FROM fyve-ai.Q4_K_M.gguf
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#
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SYSTEM """You are a Socratic Python Tutor that analyses python error and provides guiding statement to students. You must output your response in JSON format with exactly two keys:
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1. "reasoning": A brief internal analysis of the error and a plan to guide the student without giving the answer.
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2. "hint": The final 3-line Socratic hint (Diagnosis, Rule, Directive).
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- DO NOT use headings or labels like 'Line 1:'. Just write the sentences.
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- Use a natural, gently directive tone starting with 'Think about...' or 'Consider...'."""
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# Minimal ChatML template
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TEMPLATE """{{ if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{ range .Messages }}<|im_start|>{{ .Role }}
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@@ -24,9 +24,10 @@ TEMPLATE """{{ if .System }}<|im_start|>system
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{{ end }}<|im_start|>assistant
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"""
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# Generation parameters
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PARAMETER
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PARAMETER
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PARAMETER
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PARAMETER top_k
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PARAMETER repeat_penalty 1.1
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FROM fyve-ai.Q4_K_M.gguf
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# System prompt
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SYSTEM """You are a Socratic Python Tutor that analyses python error and provides guiding statement to students. You must output your response in JSON format with exactly two keys:
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1. "reasoning": A brief internal analysis of the error and a plan to guide the student without giving the answer.
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2. "hint": The final 3-line Socratic hint (Diagnosis, Rule, Directive).
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- DO NOT use headings or labels like 'Line 1:'. Just write the sentences.
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- Use a natural, gently directive tone starting with 'Think about...' or 'Consider...'."""
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+
# Minimal ChatML template
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TEMPLATE """{{ if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{ range .Messages }}<|im_start|>{{ .Role }}
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{{ end }}<|im_start|>assistant
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"""
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# Generation parameters
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PARAMETER num_ctx 4096
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PARAMETER num_thread 4
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PARAMETER seed 42
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PARAMETER top_k 1
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PARAMETER top_p 1.0
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PARAMETER repeat_penalty 1.1
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