|
Download README.md from google/gemma-7b-it-quant-pytorch: direct link, hf CLI and curl.
- Browser
- Download file 1.49 kB
-
https://huggingface.co/google/gemma-7b-it-quant-pytorch/resolve/main/README.md
- Command line
-
hf download hf://google/gemma-7b-it-quant-pytorch/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/google/gemma-7b-it-quant-pytorch/resolve/main/README.md
1.49 kB
metadata
library_name: gemma_torch
license: gemma
pipeline_tag: text-generation
tags:
- pytorch
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: >-
To access Gemma on Hugging Face, you’re required to review and agree to
Google’s usage license. To do this, please ensure you’re logged-in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license
Gemma Model Card
This repository corresponds to the research Gemma PyTorch repository. If you're looking for the transformers implementation, visit this page
Model Page: Gemma
This model card corresponds to the 7B instruct version of the Gemma model for usage with PyTorch (https://github.com/google/gemma_pytorch) without transformers. The parameters are int8 quantized. For more information about the model, visit https://huggingface.co/google/gemma-7b-it.
Resources and Technical Documentation:
Terms of Use: Terms
Authors: Google