Text Generation
Safetensors
GGUF
Estonian
English
gemma3
estonian
gemma
llama.cpp
continued-pretraining
summarization
conversational
Instructions to use Abdusin/gemma-3-4b-est-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Abdusin/gemma-3-4b-est-v1 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 Abdusin/gemma-3-4b-est-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf Abdusin/gemma-3-4b-est-v1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Abdusin/gemma-3-4b-est-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf Abdusin/gemma-3-4b-est-v1: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 Abdusin/gemma-3-4b-est-v1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Abdusin/gemma-3-4b-est-v1: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 Abdusin/gemma-3-4b-est-v1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Abdusin/gemma-3-4b-est-v1:Q4_K_M
Use Docker
docker model run hf.co/Abdusin/gemma-3-4b-est-v1:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use Abdusin/gemma-3-4b-est-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Abdusin/gemma-3-4b-est-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Abdusin/gemma-3-4b-est-v1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Abdusin/gemma-3-4b-est-v1:Q4_K_M
- Ollama
How to use Abdusin/gemma-3-4b-est-v1 with Ollama:
ollama run hf.co/Abdusin/gemma-3-4b-est-v1:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Abdusin/gemma-3-4b-est-v1 with Docker Model Runner:
docker model run hf.co/Abdusin/gemma-3-4b-est-v1:Q4_K_M
- Lemonade
How to use Abdusin/gemma-3-4b-est-v1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Abdusin/gemma-3-4b-est-v1:Q4_K_M
Run and chat with the model
lemonade run user.gemma-3-4b-est-v1-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download chat_template.jinja from Abdusin/gemma-3-4b-est-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.58 kB
-
https://huggingface.co/Abdusin/gemma-3-4b-est-v1/resolve/main/chat_template.jinja
- Command line
-
hf download hf://Abdusin/gemma-3-4b-est-v1/chat_template.jinja
-
curl -L -o chat_template.jinja https://huggingface.co/Abdusin/gemma-3-4b-est-v1/resolve/main/chat_template.jinja
1.58 kB
| {{ bos_token }} | |
| {%- if messages[0]['role'] == 'system' -%} | |
| {%- if messages[0]['content'] is string -%} | |
| {%- set first_user_prefix = messages[0]['content'] + ' | |
| ' -%} | |
| {%- else -%} | |
| {%- set first_user_prefix = messages[0]['content'][0]['text'] + ' | |
| ' -%} | |
| {%- endif -%} | |
| {%- set loop_messages = messages[1:] -%} | |
| {%- else -%} | |
| {%- set first_user_prefix = "" -%} | |
| {%- set loop_messages = messages -%} | |
| {%- endif -%} | |
| {%- for message in loop_messages -%} | |
| {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%} | |
| {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }} | |
| {%- endif -%} | |
| {%- if (message['role'] == 'assistant') -%} | |
| {%- set role = "model" -%} | |
| {%- else -%} | |
| {%- set role = message['role'] -%} | |
| {%- endif -%} | |
| {{ '<start_of_turn>' + role + ' | |
| ' + (first_user_prefix if loop.first else "") }} | |
| {%- if message['content'] is string -%} | |
| {{ message['content'] | trim }} | |
| {%- elif message['content'] is iterable -%} | |
| {%- for item in message['content'] -%} | |
| {%- if item['type'] == 'image' -%} | |
| {{ '<start_of_image>' }} | |
| {%- elif item['type'] == 'text' -%} | |
| {{ item['text'] | trim }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {{ raise_exception("Invalid content type") }} | |
| {%- endif -%} | |
| {{ '<end_of_turn> | |
| ' }} | |
| {%- endfor -%} | |
| {%- if add_generation_prompt -%} | |
| {{ '<start_of_turn>model | |
| ' }} | |
| {%- endif -%} | |