metadata
license: apache-2.0
library_name: transformers
tags:
- code
- llama-cpp
- gguf-my-repo
datasets:
- codeparrot/github-code-clean
- bigcode/starcoderdata
- open-web-math/open-web-math
- math-ai/StackMathQA
metrics:
- code_eval
pipeline_tag: text-generation
inference: true
model-index:
- name: granite-20b-code-base
results:
- task:
type: text-generation
dataset:
name: MBPP
type: mbpp
metrics:
- type: pass@1
value: 43.8
name: pass@1
- task:
type: text-generation
dataset:
name: MBPP+
type: evalplus/mbppplus
metrics:
- type: pass@1
value: 51.6
name: pass@1
- task:
type: text-generation
dataset:
name: HumanEvalSynthesis(Python)
type: bigcode/humanevalpack
metrics:
- type: pass@1
value: 48.2
name: pass@1
- type: pass@1
value: 50
name: pass@1
- type: pass@1
value: 59.1
name: pass@1
- type: pass@1
value: 32.3
name: pass@1
- type: pass@1
value: 40.9
name: pass@1
- type: pass@1
value: 35.4
name: pass@1
- type: pass@1
value: 17.1
name: pass@1
- type: pass@1
value: 18.3
name: pass@1
- type: pass@1
value: 23.2
name: pass@1
- type: pass@1
value: 10.4
name: pass@1
- type: pass@1
value: 25.6
name: pass@1
- type: pass@1
value: 18.3
name: pass@1
- type: pass@1
value: 23.2
name: pass@1
- type: pass@1
value: 23.8
name: pass@1
- type: pass@1
value: 14.6
name: pass@1
- type: pass@1
value: 26.2
name: pass@1
- type: pass@1
value: 15.2
name: pass@1
- type: pass@1
value: 3
name: pass@1
YorkieOH10/granite-20b-code-base-Q8_0-GGUF
This model was converted to GGUF format from ibm-granite/granite-20b-code-base
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.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo YorkieOH10/granite-20b-code-base-Q8_0-GGUF --model granite-20b-code-base.Q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo YorkieOH10/granite-20b-code-base-Q8_0-GGUF --model granite-20b-code-base.Q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m granite-20b-code-base.Q8_0.gguf -n 128