Instructions to use geoffmunn/Qwen3-14B-f16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use geoffmunn/Qwen3-14B-f16 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="geoffmunn/Qwen3-14B-f16",
	filename="Qwen3-14B-f16-imatrix-4697-coder.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use geoffmunn/Qwen3-14B-f16 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf geoffmunn/Qwen3-14B-f16:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf geoffmunn/Qwen3-14B-f16:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf geoffmunn/Qwen3-14B-f16:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf geoffmunn/Qwen3-14B-f16: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 geoffmunn/Qwen3-14B-f16:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf geoffmunn/Qwen3-14B-f16: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 geoffmunn/Qwen3-14B-f16:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf geoffmunn/Qwen3-14B-f16:Q4_K_M

Use Docker

docker model run hf.co/geoffmunn/Qwen3-14B-f16:Q4_K_M

LM Studio
Jan

vLLM

How to use geoffmunn/Qwen3-14B-f16 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "geoffmunn/Qwen3-14B-f16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "geoffmunn/Qwen3-14B-f16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/geoffmunn/Qwen3-14B-f16:Q4_K_M

Ollama
How to use geoffmunn/Qwen3-14B-f16 with Ollama:
```
ollama run hf.co/geoffmunn/Qwen3-14B-f16:Q4_K_M
```

Unsloth Studio

How to use geoffmunn/Qwen3-14B-f16 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 geoffmunn/Qwen3-14B-f16 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 geoffmunn/Qwen3-14B-f16 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for geoffmunn/Qwen3-14B-f16 to start chatting

How to use geoffmunn/Qwen3-14B-f16 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf geoffmunn/Qwen3-14B-f16:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "geoffmunn/Qwen3-14B-f16:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use geoffmunn/Qwen3-14B-f16 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf geoffmunn/Qwen3-14B-f16:Q4_K_M

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 geoffmunn/Qwen3-14B-f16:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use geoffmunn/Qwen3-14B-f16 with Docker Model Runner:
```
docker model run hf.co/geoffmunn/Qwen3-14B-f16:Q4_K_M
```

Lemonade

How to use geoffmunn/Qwen3-14B-f16 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull geoffmunn/Qwen3-14B-f16:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3-14B-f16-Q4_K_M

List all available models

lemonade list

geoffmunn commited on Dec 25, 2025

Commit

cf7bd87

verified ·

1 Parent(s): 41e1fb8

Rename Qwen3-14B-Q3_K_S/README.md to Qwen3-14B-f16-Q3_K_S/README.md

Browse files

Files changed (1) hide show

{Qwen3-14B-Q3_K_S → Qwen3-14B-f16-Q3_K_S}/README.md +3 -3

{Qwen3-14B-Q3_K_S → Qwen3-14B-f16-Q3_K_S}/README.md RENAMED Viewed

@@ -18,7 +18,7 @@ base_model: Qwen/Qwen3-14B
 author: geoffmunn
 ---
-# Qwen3-14B:Q3_K_S
 Quantized version of [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) at **Q3_K_S** level, derived from **f16** base weights.
@@ -124,7 +124,7 @@ Stop sequences: `<|im_end|>`, `<|im_start|>`
 Importing directly into Ollama should work, but you might encounter this error: `Error: invalid character '<' looking for beginning of value`.
 In this case try these steps:
-1. `wget https://huggingface.co/geoffmunn/Qwen3-14B/resolve/main/Qwen3-14B-f16%3AQ3_K_S.gguf`
 2. `nano Modelfile` and enter these details:
 ```text
 FROM ./Qwen3-14B-f16:Q3_K_S.gguf
@@ -163,7 +163,7 @@ Here’s how you can query this model via API using `curl` and `jq`. Replace the
 ```bash
 curl http://localhost:11434/api/generate -s -N -d '{
-  "model": "hf.co/geoffmunn/Qwen3-14B:Q3_K_S",
   "prompt": "Respond exactly as follows: Summarize what a neural network is in one sentence.",
   "temperature": 0.3,
   "top_p": 0.95,

 author: geoffmunn
 ---
+# Qwen3-14B-f16:Q3_K_S
 Quantized version of [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) at **Q3_K_S** level, derived from **f16** base weights.
 Importing directly into Ollama should work, but you might encounter this error: `Error: invalid character '<' looking for beginning of value`.
 In this case try these steps:
+1. `wget https://huggingface.co/geoffmunn/Qwen3-14B-f16/resolve/main/Qwen3-14B-f16%3AQ3_K_S.gguf`
 2. `nano Modelfile` and enter these details:
 ```text
 FROM ./Qwen3-14B-f16:Q3_K_S.gguf
 ```bash
 curl http://localhost:11434/api/generate -s -N -d '{
+  "model": "hf.co/geoffmunn/Qwen3-14B-f16:Q3_K_S",
   "prompt": "Respond exactly as follows: Summarize what a neural network is in one sentence.",
   "temperature": 0.3,
   "top_p": 0.95,