Text Classification
Safetensors
GGUF
Portuguese
gemma3_text
llama.cpp
unsloth
intent-detection
gemma-3
delivery
conversational
Instructions to use RiosWesley/gemma-3-270M-Model-Router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use RiosWesley/gemma-3-270M-Model-Router with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="RiosWesley/gemma-3-270M-Model-Router", filename="gemma-3-270m-it.Q8_0.gguf", )
llm.create_chat_completion( messages = "\"I like you. I love you\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use RiosWesley/gemma-3-270M-Model-Router with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf RiosWesley/gemma-3-270M-Model-Router:Q8_0 # Run inference directly in the terminal: llama-cli -hf RiosWesley/gemma-3-270M-Model-Router:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf RiosWesley/gemma-3-270M-Model-Router:Q8_0 # Run inference directly in the terminal: llama-cli -hf RiosWesley/gemma-3-270M-Model-Router:Q8_0
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 RiosWesley/gemma-3-270M-Model-Router:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf RiosWesley/gemma-3-270M-Model-Router:Q8_0
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 RiosWesley/gemma-3-270M-Model-Router:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf RiosWesley/gemma-3-270M-Model-Router:Q8_0
Use Docker
docker model run hf.co/RiosWesley/gemma-3-270M-Model-Router:Q8_0
- LM Studio
- Jan
- Ollama
How to use RiosWesley/gemma-3-270M-Model-Router with Ollama:
ollama run hf.co/RiosWesley/gemma-3-270M-Model-Router:Q8_0
- Unsloth Studio new
How to use RiosWesley/gemma-3-270M-Model-Router 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 RiosWesley/gemma-3-270M-Model-Router 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 RiosWesley/gemma-3-270M-Model-Router to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for RiosWesley/gemma-3-270M-Model-Router to start chatting
- Docker Model Runner
How to use RiosWesley/gemma-3-270M-Model-Router with Docker Model Runner:
docker model run hf.co/RiosWesley/gemma-3-270M-Model-Router:Q8_0
- Lemonade
How to use RiosWesley/gemma-3-270M-Model-Router with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RiosWesley/gemma-3-270M-Model-Router:Q8_0
Run and chat with the model
lemonade run user.gemma-3-270M-Model-Router-Q8_0
List all available models
lemonade list
File size: 1,534 Bytes
e8823e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | {{ 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 -%}
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