8.54B Gemma Transformers record
Captured configuration records GemmaForCausalLM with model type gemma, about 8.54B parameters, and Transformers support with safetensors and conversational markers.
Open Source Model Profile · unsloth
gemma-7b-it is an 8.54B-parameter Gemma text-generation model from unsloth. Its card centers on Unsloth notebooks with ShareGPT ChatML and Vicuna template support.
gemma-7b-it is published by unsloth as a Gemma text-generation model. The captured configuration identifies GemmaForCausalLM and Safetensors metadata reports 8,537,680,896 parameters, or about 8.54B. The model card focuses on the Unsloth fine-tuning notebook workflow rather than model-specific training or evaluation detail.
Captured configuration records GemmaForCausalLM with model type gemma, about 8.54B parameters, and Transformers support with safetensors and conversational markers.
The model card presents Unsloth fine-tuning notebooks and beginner-oriented Run All workflow with export to GGUF, vLLM, or Hugging Face; speed and memory figures describe Unsloth's method rather than measured results for this weights file.
According to the model card, the conversational notebook covers ShareGPT ChatML and Vicuna templates, alongside separate raw-text completion and Zephyr-replicating DPO notebooks.
Source: unsloth/gemma-7b-it
Captured: Unknown. Processed: 2026-09-07T19:35:00.155936+00:00.
Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth! ✨ Finetune for Free All notebooks are beginner friendly ! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face. Unsloth supports Free Notebooks Performance Memory use Gemma 7b ▶️ Start on Colab 2.4x faster 58% less Mistral 7b ▶️ Start on Colab 2.2x faster 62% less Llama-2 7b ▶️ Start on Colab 2.2x faster 43% less TinyLlama ▶️ Start on Colab 3.9x faster 74% less CodeLlama 34b A100 ▶️ Start on Colab 1.9x faster 27% less Mistral 7b 1xT4 ▶️ Start on Kaggle 5x faster* 62% le…
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