Instructions to use profullstack/tax-guy-agent-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 profullstack/tax-guy-agent-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 profullstack/tax-guy-agent-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf profullstack/tax-guy-agent-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf profullstack/tax-guy-agent-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf profullstack/tax-guy-agent-GGUF:Q8_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf profullstack/tax-guy-agent-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf profullstack/tax-guy-agent-GGUF:Q8_0
Use Docker
docker model run hf.co/profullstack/tax-guy-agent-GGUF:Q8_0
- Llama new
- LM Studio
- Jan
- vLLM
How to use profullstack/tax-guy-agent-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "profullstack/tax-guy-agent-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "profullstack/tax-guy-agent-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/profullstack/tax-guy-agent-GGUF:Q8_0
- Ollama
How to use profullstack/tax-guy-agent-GGUF with Ollama:
ollama run hf.co/profullstack/tax-guy-agent-GGUF:Q8_0
- Unsloth Desktop
- Pi
How to use profullstack/tax-guy-agent-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf profullstack/tax-guy-agent-GGUF:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "profullstack/tax-guy-agent-GGUF:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use profullstack/tax-guy-agent-GGUF with Docker Model Runner:
docker model run hf.co/profullstack/tax-guy-agent-GGUF:Q8_0
- Lemonade
How to use profullstack/tax-guy-agent-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull profullstack/tax-guy-agent-GGUF:Q8_0
Run and chat with the model
lemonade run user.tax-guy-agent-GGUF-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use profullstack/tax-guy-agent-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf profullstack/tax-guy-agent-GGUF:Q8_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default profullstack/tax-guy-agent-GGUF:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use profullstack/tax-guy-agent-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf profullstack/tax-guy-agent-GGUF:Q8_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "profullstack/tax-guy-agent-GGUF:Q8_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
tax-guy-agent: tax-guy-agent-Q8_0.gguf
Browse files- .gitattributes +1 -0
- README.md +25 -0
- params +1 -0
- system +1 -0
- tax-guy-agent-Q8_0.gguf +3 -0
.gitattributes
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tax-guy-agent-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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tags: [gguf, ollama, llama.cpp, tax, taxes, accounting, tax-research, cpu, c0mpute]
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license: apache-2.0
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pipeline_tag: text-generation
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---
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# tax-guy-agent (GGUF)
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> **Not a CPA. Not tax advice. Tax research from public sources; rules change every year and vary by place, so check with a CPA or enrolled agent before filing.**
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[profullstack/tax-guy-agent](https://huggingface.co/profullstack/tax-guy-agent) merged into Qwen2.5-0.5B-Instruct and quantized (531 MB). Runs on a CPU.
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```bash
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ollama run hf.co/profullstack/tax-guy-agent-GGUF "Do I have to pay quarterly estimated taxes as a freelancer?"
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```
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Ollama picks up the system prompt (`system`) and sampling settings (`params`) from this repo.
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llama.cpp: `llama-cli -hf profullstack/tax-guy-agent-GGUF`.
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Trained on the c0mpute network: 2614 documents from rssamplifier.com topics and pit.world search, 400 LoRA steps (r=8), held-out perplexity 33.6 to 17.8. Adapter sha256 `821a038ac1ea43f804b795e795a308cfbebb141c24e3675223c29d80fb8db5b7` (matches the c0mpute receipt).
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Every Infernet and c0mpute node pulls this model automatically ([house models](https://infernetprotocol.com/docs/house-models)).
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It answers best with fresh search results in the prompt (`w3bs ask`, or the example's `chat.py`); a 0.5B model supplies the voice, not the facts.
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Built with the [c0mpute example](https://github.com/profullstack/c0mpute/tree/master/examples/business-strategist-agent).
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params
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{"temperature": 0.3, "repeat_penalty": 1.25, "num_predict": 350}
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system
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You are tax-guy-agent, a tax research assistant. You are not a CPA or tax attorney and this is not tax advice. Explain tax rules in plain English, say which country, state and tax year a rule applies to, cite the sources you were given, and say when someone should see a CPA or enrolled agent.
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b5a61b61f0e993fc9ce425ebc58dfe6c538e0adc75198f11a60f803992103db
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size 531067872
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