Instructions to use Shritama/GEMMA-2B-NL-SQL-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Shritama/GEMMA-2B-NL-SQL-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Shritama/GEMMA-2B-NL-SQL-GGUF", filename="GEMMA-2B-NL-SQL.Q4_K.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 Shritama/GEMMA-2B-NL-SQL-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Shritama/GEMMA-2B-NL-SQL-GGUF # Run inference directly in the terminal: llama-cli -hf Shritama/GEMMA-2B-NL-SQL-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Shritama/GEMMA-2B-NL-SQL-GGUF # Run inference directly in the terminal: llama-cli -hf Shritama/GEMMA-2B-NL-SQL-GGUF
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 Shritama/GEMMA-2B-NL-SQL-GGUF # Run inference directly in the terminal: ./llama-cli -hf Shritama/GEMMA-2B-NL-SQL-GGUF
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 Shritama/GEMMA-2B-NL-SQL-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf Shritama/GEMMA-2B-NL-SQL-GGUF
Use Docker
docker model run hf.co/Shritama/GEMMA-2B-NL-SQL-GGUF
- LM Studio
- Jan
- Ollama
How to use Shritama/GEMMA-2B-NL-SQL-GGUF with Ollama:
ollama run hf.co/Shritama/GEMMA-2B-NL-SQL-GGUF
- Unsloth Studio
How to use Shritama/GEMMA-2B-NL-SQL-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 Shritama/GEMMA-2B-NL-SQL-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 Shritama/GEMMA-2B-NL-SQL-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Shritama/GEMMA-2B-NL-SQL-GGUF to start chatting
- Docker Model Runner
How to use Shritama/GEMMA-2B-NL-SQL-GGUF with Docker Model Runner:
docker model run hf.co/Shritama/GEMMA-2B-NL-SQL-GGUF
- Lemonade
How to use Shritama/GEMMA-2B-NL-SQL-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Shritama/GEMMA-2B-NL-SQL-GGUF
Run and chat with the model
lemonade run user.GEMMA-2B-NL-SQL-GGUF-{{QUANT_TAG}}List all available models
lemonade list
File size: 2,162 Bytes
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"add_bos_token": true,
"add_eos_token": false,
"added_tokens_decoder": {
"0": {
"content": "<pad>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<eos>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "<bos>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"3": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"106": {
"content": "<start_of_turn>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"107": {
"content": "<end_of_turn>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"additional_special_tokens": [
"<start_of_turn>",
"<end_of_turn>"
],
"bos_token": "<bos>",
"chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in 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 + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<eos>",
"legacy": null,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<eos>",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "GemmaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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