Instructions to use Yacinedh/translategemma-4b-khutbah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Yacinedh/translategemma-4b-khutbah 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 Yacinedh/translategemma-4b-khutbah:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Yacinedh/translategemma-4b-khutbah:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Yacinedh/translategemma-4b-khutbah:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Yacinedh/translategemma-4b-khutbah: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 Yacinedh/translategemma-4b-khutbah:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Yacinedh/translategemma-4b-khutbah: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 Yacinedh/translategemma-4b-khutbah:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Yacinedh/translategemma-4b-khutbah:Q4_K_M

Use Docker

docker model run hf.co/Yacinedh/translategemma-4b-khutbah:Q4_K_M

LM Studio
Jan
Ollama
How to use Yacinedh/translategemma-4b-khutbah with Ollama:
```
ollama run hf.co/Yacinedh/translategemma-4b-khutbah:Q4_K_M
```

Unsloth Studio

How to use Yacinedh/translategemma-4b-khutbah 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 Yacinedh/translategemma-4b-khutbah 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 Yacinedh/translategemma-4b-khutbah to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Yacinedh/translategemma-4b-khutbah to start chatting

Docker Model Runner
How to use Yacinedh/translategemma-4b-khutbah with Docker Model Runner:
```
docker model run hf.co/Yacinedh/translategemma-4b-khutbah:Q4_K_M
```

Lemonade

How to use Yacinedh/translategemma-4b-khutbah with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Yacinedh/translategemma-4b-khutbah:Q4_K_M

Run and chat with the model

lemonade run user.translategemma-4b-khutbah-Q4_K_M

List all available models

lemonade list

Atomic Chat

Shahen1 commited on 20 days ago

Commit

5e8eb0b

verified ·

1 Parent(s): 64c0df2

Update README.md

Browse files

Files changed (1) hide show

README.md +11 -12

README.md CHANGED Viewed

@@ -2,18 +2,17 @@
 license: gemma
 base_model: google/translategemma-4b-it
 language:
-  - ar
-  - de
-pipeline_tag: translation
 tags:
-  - translation
-  - arabic
-  - german
-  - islam
-  - khutbah
-  - quran
-  - gemma3
-  - qlora
 ---
 # TranslateGemma-4B-Khutbah
@@ -47,4 +46,4 @@ Identical to the 12B card — TranslateGemma structured chat template (`source_l
 ## License
-Gemma Terms of Use. Quran translation data from [Tanzil](https://tanzil.net/trans/) via [fawazahmed0/quran-api](https://github.com/fawazahmed0/quran-api).

 license: gemma
 base_model: google/translategemma-4b-it
 language:
+- ar
+- de
 tags:
+- translation
+- arabic
+- german
+- islam
+- khutbah
+- quran
+- gemma3
+- qlora
 ---
 # TranslateGemma-4B-Khutbah
 ## License
+Gemma Terms of Use. Quran translation data from [Tanzil](https://tanzil.net/trans/) via [fawazahmed0/quran-api](https://github.com/fawazahmed0/quran-api).