Text Generation
GGUF
PyTorch
English
instruct
finance
stock market
candlesticks
FinGPT
option trading
future stock prediction
trends prediction
Enterprise LLM
Enterprise
Enterprise ready
Banks
Wealth Management
quantized
GGUF
quantization
imat
imatrix
static
32bit
16bit
8bit
6bit
5bit
4bit
3bit
2bit
1bit
conversational
Instructions to use legraphista/Palmyra-Fin-70B-32K-IMat-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 legraphista/Palmyra-Fin-70B-32K-IMat-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 legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
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 legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
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 legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
Use Docker
docker model run hf.co/legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
- LM Studio
- Jan
- vLLM
How to use legraphista/Palmyra-Fin-70B-32K-IMat-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "legraphista/Palmyra-Fin-70B-32K-IMat-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": "legraphista/Palmyra-Fin-70B-32K-IMat-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
- Ollama
How to use legraphista/Palmyra-Fin-70B-32K-IMat-GGUF with Ollama:
ollama run hf.co/legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
- Unsloth Studio
How to use legraphista/Palmyra-Fin-70B-32K-IMat-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 legraphista/Palmyra-Fin-70B-32K-IMat-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 legraphista/Palmyra-Fin-70B-32K-IMat-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for legraphista/Palmyra-Fin-70B-32K-IMat-GGUF to start chatting
- Docker Model Runner
How to use legraphista/Palmyra-Fin-70B-32K-IMat-GGUF with Docker Model Runner:
docker model run hf.co/legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
- Lemonade
How to use legraphista/Palmyra-Fin-70B-32K-IMat-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull legraphista/Palmyra-Fin-70B-32K-IMat-GGUF:Q4_K_S
Run and chat with the model
lemonade run user.Palmyra-Fin-70B-32K-IMat-GGUF-Q4_K_S
List all available models
lemonade list
- Atomic Chat
Ctrl+K
- Palmyra-Fin-70B-32K.BF16
- Palmyra-Fin-70B-32K.F32
- Palmyra-Fin-70B-32K.FP16
- Palmyra-Fin-70B-32K.Q5_K
- Palmyra-Fin-70B-32K.Q5_K_S
- Palmyra-Fin-70B-32K.Q6_K
- Palmyra-Fin-70B-32K.Q8_0
- 6.76 kB
- 16.8 GB xet
- 15.3 GB xet
- 24.1 GB xet
- 22.2 GB xet
- 21.1 GB xet
- 19.1 GB xet
- 31.9 GB xet
- 30.9 GB xet
- 29.3 GB xet
- 27.5 GB xet
- 40.1 GB xet
- 37.9 GB xet
- 26.4 GB xet
- 24.5 GB xet
- 34.3 GB xet
- 37.1 GB xet
- 30.9 GB xet
- 42.5 GB xet
- 40.3 GB xet
- 11.2 kB
- 24.9 MB xet
- 280 kB
- 11.2 kB