Instructions to use brodatech/finance-phi3-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use brodatech/finance-phi3-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="brodatech/finance-phi3-gguf", filename="phi-3-mini-4k-instruct.Q4_K_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use brodatech/finance-phi3-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf brodatech/finance-phi3-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf brodatech/finance-phi3-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf brodatech/finance-phi3-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf brodatech/finance-phi3-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 brodatech/finance-phi3-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf brodatech/finance-phi3-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 brodatech/finance-phi3-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf brodatech/finance-phi3-gguf:Q4_K_M
Use Docker
docker model run hf.co/brodatech/finance-phi3-gguf:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use brodatech/finance-phi3-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "brodatech/finance-phi3-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": "brodatech/finance-phi3-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/brodatech/finance-phi3-gguf:Q4_K_M
- Ollama
How to use brodatech/finance-phi3-gguf with Ollama:
ollama run hf.co/brodatech/finance-phi3-gguf:Q4_K_M
- Unsloth Studio
How to use brodatech/finance-phi3-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 brodatech/finance-phi3-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 brodatech/finance-phi3-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for brodatech/finance-phi3-gguf to start chatting
- Docker Model Runner
How to use brodatech/finance-phi3-gguf with Docker Model Runner:
docker model run hf.co/brodatech/finance-phi3-gguf:Q4_K_M
- Lemonade
How to use brodatech/finance-phi3-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull brodatech/finance-phi3-gguf:Q4_K_M
Run and chat with the model
lemonade run user.finance-phi3-gguf-Q4_K_M
List all available models
lemonade list
File size: 912 Bytes
d6ee164 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | FROM phi-3-mini-4k-instruct.Q4_K_M.gguf
TEMPLATE """{{ if .System }}<|system|>
{{ .System }}<|end|>
{{ end }}
{{ if .Prompt }}<|user|>
{{ .Prompt }}<|end|>
{{ end }}
<|assistant|>
{{ .Response }}"""
PARAMETER num_ctx 2048
PARAMETER temperature 0.3
PARAMETER top_p 0.9
PARAMETER repeat_penalty 1.1
PARAMETER num_predict 256
PARAMETER stop "<|end|>"
PARAMETER stop "<|user|>"
PARAMETER stop "<|system|>"
PARAMETER stop "<|assistant|>"
SYSTEM """You are a professional Financial Analyst with expertise in:
- Stock market analysis and valuation
- Corporate finance and accounting
- Investment strategy and portfolio management
- Economic trends and market indicators
- Risk assessment and financial modeling
Your responses should be:
1. Accurate and data-driven
2. Professional and neutral in tone
3. Comprehensive yet concise
4. Based on sound financial principles
5. Use practical examples when relevant
""" |