metadata

library_name: llama.cpp
license: gemma
license_link: https://ai.google.dev/gemma/terms
pipeline_tag: text-generation
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CodeGemma

Model Page : CodeGemma

Resources and Technical Documentation : Technical Report : Responsible Generative AI Toolkit

Authors : Google

In llama.cpp, and other related tools such as Ollama and LM Studio, please make sure that you have these flags set correctly, especially repeat-penalty. Georgi Gerganov (llama.cpp's author) shared his experience in https://huggingface.co/google/gemma-7b-it/discussions/38#65d7b14adb51f7c160769fa1.

Description

CodeGemma is a collection of lightweight open code models built on top of Gemma. CodeGemma models are text-to-text and text-to-code decoder-only models and are available as a 7 billion pretrained variant that specializes in code completion and code generation tasks, a 7 billion parameter instruction-tuned variant for code chat and instruction following and a 2 billion parameter pretrained variant for fast code completion.

	codegemma-2b	codegemma-7b	codegemma-7b-it
Code Completion	✅	✅
Generation from natural language		✅	✅
Chat			✅
Instruction Following			✅

For detailed model card, refer to https://huggingface.co/google/codegemma-1.1-2b.

Sample Usage

$ cat non_prime
/// Write a rust function to identify non-prime numbers.
///
/// Examples:
/// >>> is_not_prime(2)
/// False
/// >>> is_not_prime(10)
/// True
pub fn is_not_prime(n: i32) -> bool {
$ main -m codegemma-1.1-2b.gguf --temp 0 --top-k 0 -f non_prime --log-disable --repeat-penalty 1.0
 /// Write a rust function to identify non-prime numbers.
///
/// Examples:
/// >>> is_not_prime(2)
/// False
/// >>> is_not_prime(10)
/// True
pub fn is_not_prime(n: i32) -> bool {
    for i in 2..n {
        if n % i == 0 {
            return true;
        }
    }
    false
}
<|file_separator|>

Coding Benchmarks

Benchmark	2B	2B (1.1)	7B	7B-IT	7B-IT (1.1)
HumanEval	31.1	37.8	44.5	56.1	60.4
MBPP	43.6	49.2	56.2	54.2	55.6
HumanEval Single Line	78.4	79.3	76.1	68.3	77.4
HumanEval Multi Line	51.4	51.0	58.4	20.1	23.7
BC HE C++	24.2	19.9	32.9	42.2	46.6
BC HE C#	10.6	26.1	22.4	26.7	54.7
BC HE Go	20.5	18.0	21.7	28.6	34.2
BC HE Java	29.2	29.8	41.0	48.4	50.3
BC HE JavaScript	21.7	28.0	39.8	46.0	48.4
BC HE Kotlin	28.0	32.3	39.8	51.6	47.8
BC HE Python	21.7	36.6	42.2	48.4	54.0
BC HE Rust	26.7	24.2	34.1	36.0	37.3
BC MBPP C++	47.1	38.9	53.8	56.7	63.5
BC MBPP C#	28.7	45.3	32.5	41.2	62.0
BC MBPP Go	45.6	38.9	43.3	46.2	53.2
BC MBPP Java	41.8	49.7	50.3	57.3	62.9
BC MBPP JavaScript	45.3	45.0	58.2	61.4	61.4
BC MBPP Kotlin	46.8	49.7	54.7	59.9	62.6
BC MBPP Python	38.6	52.9	59.1	62.0	60.2
BC MBPP Rust	45.3	47.4	52.9	53.5	52.3

google
/

codegemma-1.1-2b-GGUF

CodeGemma

Description

Sample Usage

Coding Benchmarks

Natural Language Benchmarks