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---
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
```
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