Instructions to use mradermacher/gemma-2b-tamil-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/gemma-2b-tamil-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/gemma-2b-tamil-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/gemma-2b-tamil-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/gemma-2b-tamil-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/gemma-2b-tamil-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/gemma-2b-tamil-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/gemma-2b-tamil-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/gemma-2b-tamil-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/gemma-2b-tamil-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/gemma-2b-tamil-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/gemma-2b-tamil-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/gemma-2b-tamil-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/gemma-2b-tamil-GGUF with Ollama:
```
ollama run hf.co/mradermacher/gemma-2b-tamil-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/gemma-2b-tamil-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/gemma-2b-tamil-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/gemma-2b-tamil-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/gemma-2b-tamil-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use mradermacher/gemma-2b-tamil-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/gemma-2b-tamil-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/gemma-2b-tamil-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/gemma-2b-tamil-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.gemma-2b-tamil-GGUF-Q4_K_M

List all available models

lemonade list

mradermacher commited on Aug 1, 2025

Commit

f318c8a

verified ·

1 Parent(s): 4fdbab1

auto-patch README.md

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Files changed (1) hide show

README.md +6 -1

README.md CHANGED Viewed

@@ -9,6 +9,8 @@ library_name: transformers
 license: other
 license_link: https://ai.google.dev/gemma/terms
 license_name: gemma-terms-of-use
 quantized_by: mradermacher
 ---
 ## About
@@ -21,6 +23,9 @@ quantized_by: mradermacher
 static quants of https://huggingface.co/abhinand/gemma-2b-tamil
 <!-- provided-files -->
 weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
 ## Usage
@@ -64,6 +69,6 @@ questions you might have and/or if you want some other model quantized.
 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
 me use its servers and providing upgrades to my workstation to enable
-this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
 <!-- end -->

 license: other
 license_link: https://ai.google.dev/gemma/terms
 license_name: gemma-terms-of-use
+mradermacher:
+  readme_rev: 1
 quantized_by: mradermacher
 ---
 ## About
 static quants of https://huggingface.co/abhinand/gemma-2b-tamil
 <!-- provided-files -->
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#gemma-2b-tamil-GGUF).***
 weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
 ## Usage
 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
 me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
 <!-- end -->