CodeGemma的2B和7B基础模型的区别主要体现在模型的规模和性能上。 规模:2B基础模型是一个较小的模型,参数数量较少,适合用于一些简单的任务或者资源有限的环境下进行部署。而7B基础模型则是一个较大的模型,参数数量更多,能够处理更复杂的任务和数据,并且在一些大规模的应用场景中表现更好。 性能:由于规模不同,2B和7...
在模型性能方面,Code Gemma70亿参数的性能超过了同类代码模型如 DeepSeek Coder、StarCoder2等,并且推理效率和准确率更高。Code Gemma 系列模型分别是专门针对代码填充进行训练的 Code Gemma2B,基础预训练模型 Code Gemma7B 以及指令微调版本 Code Gemma7B Instruct。开发团队在多个数学数据集上进行了监督式微调,进一步...
File "/Users/adriancole/.local/share/virtualenvs/langtrace-python-53DLXFHY/lib/python3.12/site-packages/ollama/_client.py", line 74, in _request raise ResponseError(e.response.text, e.response.status_code) from None ollama._types.ResponseError: codegemma:2b-code does not support tools Her...
rl-gemma2b-code masaishi/rl-gemma2b-code Model CardCode (1)Discussion (0)Competitions (1) Model Notebooks search filter_listFilters AllYour WorkShared With YouBookmarks [Inference] Reinforcement Learning for code gen Updated1y ago0 comments·Google – AI Assistants for Data Tasks with Gemm...
Explore and run machine learning code with Kaggle Notebooks | Using data from Gemma 2 2b JPN IT
code tokenizer.py1.6 kB code xla_model_parallel.py27.74 kB Outputmore_vert arrow_drop_down folder gemma arrow_right folder __pycache__ code __init__.py code config.py code model_xla.py code model.py code tokenizer.py code xla_model_parallel.py arrow_right folder gemma_pytorch Download no...
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Closed Migrate Code Completion Prompts: CodeGemma 2B This issue is related to Prompt Migration to AI Gateway (&14259 - closed), where our objective is to transfer our prompts to the AI gateway. Specifically, we need to migrate the Code Completion Prompts: CodeGemma 2B as outlined in this is...
Model Evaluation: CodeGemma 2B Process outline Process issue Identify candidate model(s) Target feature Code Completion and Code Generation Data privacy According to Google: Perhaps of higher importance is the possibility that personal data might be memorized. As part of making Gemma pre-trained m...