--- base_model: bigcode/starcoderbase-1b datasets: - bigcode/the-stack-dedup library_name: transformers license: bigcode-openrail-m metrics: - code_eval pipeline_tag: text-generation tags: - code - llama-cpp - gguf-my-repo inference: true widget: - text: 'def print_hello_world():' example_title: Hello world group: Python extra_gated_prompt: "## Model License Agreement\nPlease read the BigCode [OpenRAIL-M\ \ license](https://huggingface.co./spaces/bigcode/bigcode-model-license-agreement)\ \ agreement before accepting it.\n " extra_gated_fields: ? I accept the above license agreement, and will use the Model complying with the set of use restrictions and sharing requirements : checkbox duplicated_from: bigcode-data/starcoderbase-1b model-index: - name: StarCoderBase-1B results: - task: type: text-generation dataset: name: HumanEval type: openai_humaneval metrics: - type: pass@1 value: 15.17 name: pass@1 verified: false - task: type: text-generation dataset: name: MultiPL-HumanEval (C++) type: nuprl/MultiPL-E metrics: - type: pass@1 value: 11.68 name: pass@1 verified: false - type: pass@1 value: 14.2 name: pass@1 verified: false - type: pass@1 value: 13.38 name: pass@1 verified: false - type: pass@1 value: 9.94 name: pass@1 verified: false - type: pass@1 value: 12.52 name: pass@1 verified: false - type: pass@1 value: 10.24 name: pass@1 verified: false - type: pass@1 value: 3.92 name: pass@1 verified: false - type: pass@1 value: 11.31 name: pass@1 verified: false - type: pass@1 value: 5.37 name: pass@1 verified: false --- # wsxiaoys/starcoderbase-1b-Q2_K-GGUF This model was converted to GGUF format from [`bigcode/starcoderbase-1b`](https://huggingface.co./bigcode/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./bigcode/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 wsxiaoys/starcoderbase-1b-Q2_K-GGUF --hf-file starcoderbase-1b-q2_k.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo wsxiaoys/starcoderbase-1b-Q2_K-GGUF --hf-file starcoderbase-1b-q2_k.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 wsxiaoys/starcoderbase-1b-Q2_K-GGUF --hf-file starcoderbase-1b-q2_k.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo wsxiaoys/starcoderbase-1b-Q2_K-GGUF --hf-file starcoderbase-1b-q2_k.gguf -c 2048 ```