---
base_model: bigcode/starcoder
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
model-index:
- name: StarCoder
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval (Prompted)
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 0.408
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.336
      name: pass@1
      verified: false
  - task:
      type: text-generation
    dataset:
      name: MBPP
      type: mbpp
    metrics:
    - type: pass@1
      value: 0.527
      name: pass@1
      verified: false
  - task:
      type: text-generation
    dataset:
      name: DS-1000 (Overall Completion)
      type: ds1000
    metrics:
    - type: pass@1
      value: 0.26
      name: pass@1
      verified: false
  - task:
      type: text-generation
    dataset:
      name: MultiPL-HumanEval (C++)
      type: nuprl/MultiPL-E
    metrics:
    - type: pass@1
      value: 0.3155
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.2101
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.1357
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.1761
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.3022
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.2302
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.3079
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.2389
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.2608
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.1734
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.3357
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.155
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.0124
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.0007
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.2184
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.2761
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.1046
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.2274
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.3229
      name: pass@1
      verified: false
---

# osukhoroslov-hw/starcoder-Q5_K_M-GGUF
This model was converted to GGUF format from [`bigcode/starcoder`](https://huggingface.co/bigcode/starcoder) 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/starcoder) 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 osukhoroslov-hw/starcoder-Q5_K_M-GGUF --hf-file starcoder-q5_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo osukhoroslov-hw/starcoder-Q5_K_M-GGUF --hf-file starcoder-q5_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 osukhoroslov-hw/starcoder-Q5_K_M-GGUF --hf-file starcoder-q5_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo osukhoroslov-hw/starcoder-Q5_K_M-GGUF --hf-file starcoder-q5_k_m.gguf -c 2048
```