metadata

base_model: bigcode/starcoder2-15b
datasets:
  - bigcode/the-stack-v2-train
library_name: transformers
license: bigcode-openrail-m
pipeline_tag: text-generation
tags:
  - code
  - llama-cpp
  - gguf-my-repo
inference:
  parameters:
    temperature: 0.2
    top_p: 0.95
widget:
  - text: 'def print_hello_world():'
    example_title: Hello world
    group: Python
model-index:
  - name: starcoder2-15b
    results:
      - task:
          type: text-generation
        dataset:
          name: CruxEval-I
          type: cruxeval-i
        metrics:
          - type: pass@1
            value: 48.1
      - task:
          type: text-generation
        dataset:
          name: DS-1000
          type: ds-1000
        metrics:
          - type: pass@1
            value: 33.8
      - task:
          type: text-generation
        dataset:
          name: GSM8K (PAL)
          type: gsm8k-pal
        metrics:
          - type: accuracy
            value: 65.1
      - task:
          type: text-generation
        dataset:
          name: HumanEval+
          type: humanevalplus
        metrics:
          - type: pass@1
            value: 37.8
      - task:
          type: text-generation
        dataset:
          name: HumanEval
          type: humaneval
        metrics:
          - type: pass@1
            value: 46.3
      - task:
          type: text-generation
        dataset:
          name: RepoBench-v1.1
          type: repobench-v1.1
        metrics:
          - type: edit-smiliarity
            value: 74.08

teemperor/starcoder2-15b-Q6_K-GGUF

This model was converted to GGUF format from bigcode/starcoder2-15b using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo teemperor/starcoder2-15b-Q6_K-GGUF --hf-file starcoder2-15b-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo teemperor/starcoder2-15b-Q6_K-GGUF --hf-file starcoder2-15b-q6_k.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps 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 teemperor/starcoder2-15b-Q6_K-GGUF --hf-file starcoder2-15b-q6_k.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo teemperor/starcoder2-15b-Q6_K-GGUF --hf-file starcoder2-15b-q6_k.gguf -c 2048