Instructions to use mradermacher/Tema_Q-R-4B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Tema_Q-R-4B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Tema_Q-R-4B-GGUF", device_map="auto")

llama-cpp-python

How to use mradermacher/Tema_Q-R-4B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mradermacher/Tema_Q-R-4B-GGUF",
	filename="Tema_Q-R-4B.IQ4_XS.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Tema_Q-R-4B-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 mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Tema_Q-R-4B-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 mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Tema_Q-R-4B-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 mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Tema_Q-R-4B-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 mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Tema_Q-R-4B-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/Tema_Q-R-4B-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 mradermacher/Tema_Q-R-4B-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 mradermacher/Tema_Q-R-4B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/Tema_Q-R-4B-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use mradermacher/Tema_Q-R-4B-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Tema_Q-R-4B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Tema_Q-R-4B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Tema_Q-R-4B-GGUF-Q4_K_M

List all available models

lemonade list

mradermacher commited on Mar 13

Commit

733c62b

verified ·

1 Parent(s): 58064e6

auto-patch README.md

Browse files

Files changed (1) hide show

README.md +3 -2

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-base_model: kawasumi/Tema_Q-R-4B
 language:
 - ja
 - en
@@ -10,6 +10,7 @@ mradermacher:
   readme_rev: 1
 quantized_by: mradermacher
 tags:
 - gemma3
 - transformer
 - instruction-tuned
@@ -28,7 +29,7 @@ tags:
 <!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
-static quants of https://huggingface.co/kawasumi/Tema_Q-R-4B
 <!-- provided-files -->

 ---
+base_model: temaq-org/Tema_Q-R-4B
 language:
 - ja
 - en
   readme_rev: 1
 quantized_by: mradermacher
 tags:
+- gemma
 - gemma3
 - transformer
 - instruction-tuned
 <!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
+static quants of https://huggingface.co/temaq-org/Tema_Q-R-4B
 <!-- provided-files -->