Instructions to use paul-stansifer/qw3-mistralopenorca-7b-1x2e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use paul-stansifer/qw3-mistralopenorca-7b-1x2e-4 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 paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf paul-stansifer/qw3-mistralopenorca-7b-1x2e-4: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 paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf paul-stansifer/qw3-mistralopenorca-7b-1x2e-4: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 paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M

Use Docker

docker model run hf.co/paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M

LM Studio
Jan

vLLM

How to use paul-stansifer/qw3-mistralopenorca-7b-1x2e-4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "paul-stansifer/qw3-mistralopenorca-7b-1x2e-4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "paul-stansifer/qw3-mistralopenorca-7b-1x2e-4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M

Ollama
How to use paul-stansifer/qw3-mistralopenorca-7b-1x2e-4 with Ollama:
```
ollama run hf.co/paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use paul-stansifer/qw3-mistralopenorca-7b-1x2e-4 with Docker Model Runner:
```
docker model run hf.co/paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M
```

Lemonade

How to use paul-stansifer/qw3-mistralopenorca-7b-1x2e-4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull paul-stansifer/qw3-mistralopenorca-7b-1x2e-4:Q4_K_M

Run and chat with the model

lemonade run user.qw3-mistralopenorca-7b-1x2e-4-Q4_K_M

List all available models

lemonade list

Atomic Chat

paul-stansifer commited on Mar 11, 2025

Commit

2b6bcd8

verified ·

1 Parent(s): ea8032d

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +3 -19

README.md CHANGED Viewed

@@ -1,22 +1,6 @@
 ---
-base_model: Open-Orca/Mistral-7B-OpenOrca
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- mistral
-- trl
-license: apache-2.0
-language:
-- en
 ---
-# Uploaded  model
-- **Developed by:** paul-stansifer
-- **License:** apache-2.0
-- **Finetuned from model :** Open-Orca/Mistral-7B-OpenOrca
-This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

 ---
+language: en
 ---
+# qw3-mistralopenorca-7b-1x2e-4
+This model was fine-tuned on the archives of Dinosaur Comics.