Instructions to use michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF with Transformers:

# Use a pipeline as a high-level helper
# Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline

pipe = pipeline("question-answering", model="michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use michaeld03/Llama-Open-Finance-8B-Q4_K_M-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 michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf michaeld03/Llama-Open-Finance-8B-Q4_K_M-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 michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf michaeld03/Llama-Open-Finance-8B-Q4_K_M-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 michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M

Use Docker

docker model run hf.co/michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF with Ollama:
```
ollama run hf.co/michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF with Docker Model Runner:
```
docker model run hf.co/michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M
```

Lemonade

How to use michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Llama-Open-Finance-8B-Q4_K_M-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Llama-Open-Finance-8B-Q4_K_M-GGUF / README.md

michaeld03

Upload README.md with huggingface_hub

86fa9d1 verified 7 months ago

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	---
	base_model: DragonLLM/Llama-Open-Finance-8B
	language:
	- en
	- fr
	- de
	license: llama3.1
	library_name: transformers
	tags:
	- finance
	- economics
	- business
	- question-answering
	- text-generation
	- financial-analysis
	- economic-modeling
	- business-intelligence
	- llama-cpp
	- gguf-my-repo
	---

	# michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF
	This model was converted to GGUF format from [`DragonLLM/Llama-Open-Finance-8B`](https://huggingface.co/DragonLLM/Llama-Open-Finance-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
	Refer to the [original model card](https://huggingface.co/DragonLLM/Llama-Open-Finance-8B) for more details on the model.

	## Use with llama.cpp
	Install llama.cpp through brew (works on Mac and Linux)

	```bash
	brew install llama.cpp

	```
	Invoke the llama.cpp server or the CLI.

	### CLI:
	```bash
	llama-cli --hf-repo michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF --hf-file llama-open-finance-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
	```

	### Server:
	```bash
	llama-server --hf-repo michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF --hf-file llama-open-finance-8b-q4_k_m.gguf -c 2048
	```

	Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

	Step 1: Clone llama.cpp from GitHub.
	```
	git clone https://github.com/ggerganov/llama.cpp
	```

	Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
	```
	cd llama.cpp && LLAMA_CURL=1 make
	```

	Step 3: Run inference through the main binary.
	```
	./llama-cli --hf-repo michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF --hf-file llama-open-finance-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
	```
	or
	```
	./llama-server --hf-repo michaeld03/Llama-Open-Finance-8B-Q4_K_M-GGUF --hf-file llama-open-finance-8b-q4_k_m.gguf -c 2048
	```