Instructions to use Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF", dtype="auto") - llama-cpp-python
How to use Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF", filename="multipl-t-starcoderbase_1b-q4_k_m.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-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 Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-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 Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF with Ollama:
ollama run hf.co/Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M
- Unsloth Studio
How to use Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-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 Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-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 Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF to start chatting
- Docker Model Runner
How to use Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF with Docker Model Runner:
docker model run hf.co/Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M
- Lemonade
How to use Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF-Q4_K_M
List all available models
lemonade list
| license: bigscience-openrail-m | |
| library_name: transformers | |
| tags: | |
| - code | |
| - gpt_bigcode | |
| - llama-cpp | |
| - gguf-my-repo | |
| datasets: | |
| - nuprl/MultiPL-T | |
| metrics: | |
| - code_eval | |
| base_model: nuprl/MultiPL-T-StarCoderBase_1b | |
| model-index: | |
| - name: MultiPLCoder-1b-OCaml | |
| results: | |
| - task: | |
| type: text-generation | |
| dataset: | |
| name: MultiPL-HumanEval (Lua) | |
| type: nuprl/MultiPL-E | |
| metrics: | |
| - type: pass@1 | |
| value: 0.173 | |
| name: pass@1 | |
| verified: true | |
| - type: pass@1 | |
| value: 0.113 | |
| name: pass@1 | |
| verified: true | |
| - type: pass@1 | |
| value: 0.097 | |
| name: pass@1 | |
| verified: true | |
| # Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF | |
| This model was converted to GGUF format from [`nuprl/MultiPL-T-StarCoderBase_1b`](https://huggingface.co/nuprl/MultiPL-T-StarCoderBase_1b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. | |
| Refer to the [original model card](https://huggingface.co/nuprl/MultiPL-T-StarCoderBase_1b) for more details on the model. | |
| ## Use with llama.cpp | |
| Install llama.cpp through brew (works on Mac and Linux) | |
| ```bash | |
| brew install llama.cpp | |
| ``` | |
| Invoke the llama.cpp server or the CLI. | |
| ### CLI: | |
| ```bash | |
| llama-cli --hf-repo Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF --hf-file multipl-t-starcoderbase_1b-q4_k_m.gguf -p "The meaning to life and the universe is" | |
| ``` | |
| ### Server: | |
| ```bash | |
| llama-server --hf-repo Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF --hf-file multipl-t-starcoderbase_1b-q4_k_m.gguf -c 2048 | |
| ``` | |
| Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. | |
| Step 1: Clone llama.cpp from GitHub. | |
| ``` | |
| git clone https://github.com/ggerganov/llama.cpp | |
| ``` | |
| Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). | |
| ``` | |
| cd llama.cpp && LLAMA_CURL=1 make | |
| ``` | |
| Step 3: Run inference through the main binary. | |
| ``` | |
| ./llama-cli --hf-repo Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF --hf-file multipl-t-starcoderbase_1b-q4_k_m.gguf -p "The meaning to life and the universe is" | |
| ``` | |
| or | |
| ``` | |
| ./llama-server --hf-repo Teoml/MultiPL-T-StarCoderBase_1b-Q4_K_M-GGUF --hf-file multipl-t-starcoderbase_1b-q4_k_m.gguf -c 2048 | |
| ``` | |