license: apache-2.0
datasets:
- JetBrains/KStack-clean
results:
- task:
type: text-generation
dataset:
name: MultiPL-HumanEval (Kotlin)
type: openai_humaneval
metrics:
- name: pass@1
type: pass@1
value: 37.89
tags:
- code
quantized_by: bartowski
pipeline_tag: text-generation
lm_studio:
param_count: 7b
use_case: code completion
release_date: 21-05-2024
model_creator: JetBrains
prompt_template: none
system_prompt: none
base_model: CodeLlama-7b
original_repo: JetBrains/CodeLlama-7B-KStack-clean
base_model: JetBrains/CodeLlama-7B-KStack-clean
💫 Community Model> CodeLlama 7B KStack clean by JetBrains
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Model creator: JetBrains
Original model: CodeLlama-7B-KStack-clean
GGUF quantization: provided by bartowski based on llama.cpp release b2965
Model Summary:
This model is designed to be used exclusive for code completion and tuned specifically for Kotlin.
Use this model as a coding assistant and for completion in your IDE to generate strong Kotlin code.
Prompt template:
There is no prompt template for this model, it should be used for completion.
Technical Details
This model is based on the CodeLlama-7b and trained on 25K examples from the KStack-clean dataset found here: https://huggingface.co/datasets/JetBrains/KStack-clean
It supports FIM tokens:
'<PRE> ' + prefix + ' <SUF> ' + suffix + ' <MID>'
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
🙏 Special thanks to Kalomaze, Dampf and turboderp for their work on the dataset (linked here) that was used for calculating the imatrix for all sizes.
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