Upload README.md with huggingface_hub

README.md

@@ -24,6 +24,8 @@ tags:
 [![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following)
 [![Discord](https://img.shields.io/badge/Discord-Join%20Us-blue?style=social&logo=discord)](https://discord.gg/CP4VSgck)
 
+## This repo contains GGUF versions of the google/gemma-1.1-2b-it model.
+
 # Simply make AI models cheaper, smaller, faster, and greener!
 
 - Give a thumbs up if you like this model!
@@ -71,7 +73,7 @@ The following clients/libraries will automatically download models for you, prov
 * Faraday.dev
 
 - **Option A** - Downloading in `text-generation-webui`:
-- **Step 1**: Under Download Model, you can enter the model repo: PrunaAI/gemma-1.1-2b-it-GGUF-smashed-smashed and below it, a specific filename to download, such as: phi-2.IQ3_M.gguf.
+- **Step 1**: Under Download Model, you can enter the model repo: PrunaAI/gemma-1.1-2b-it-GGUF-smashed and below it, a specific filename to download, such as: phi-2.IQ3_M.gguf.
 - **Step 2**: Then click Download.
 
 - **Option B** - Downloading on the command line (including multiple files at once):
@@ -81,14 +83,14 @@ pip3 install huggingface-hub
 ```
 - **Step 2**: Then you can download any individual model file to the current directory, at high speed, with a command like this:
 ```shell
-huggingface-cli download PrunaAI/gemma-1.1-2b-it-GGUF-smashed-smashed gemma-1.1-2b-it.IQ3_M.gguf --local-dir . --local-dir-use-symlinks False
+huggingface-cli download PrunaAI/gemma-1.1-2b-it-GGUF-smashed gemma-1.1-2b-it.IQ3_M.gguf --local-dir . --local-dir-use-symlinks False
 ```
 <details>
     <summary>More advanced huggingface-cli download usage (click to read)</summary>
 Alternatively, you can also download multiple files at once with a pattern:
 
 ```shell
-huggingface-cli download PrunaAI/gemma-1.1-2b-it-GGUF-smashed-smashed --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'
+huggingface-cli download PrunaAI/gemma-1.1-2b-it-GGUF-smashed --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'
 ```
 
 For more documentation on downloading with `huggingface-cli`, please see: [HF -> Hub Python Library -> Download files -> Download from the CLI](https://huggingface.co/docs/huggingface_hub/guides/download#download-from-the-cli).
@@ -102,7 +104,7 @@ pip3 install hf_transfer
 And set environment variable `HF_HUB_ENABLE_HF_TRANSFER` to `1`:
 
 ```shell
-HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download PrunaAI/gemma-1.1-2b-it-GGUF-smashed-smashed gemma-1.1-2b-it.IQ3_M.gguf --local-dir . --local-dir-use-symlinks False
+HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download PrunaAI/gemma-1.1-2b-it-GGUF-smashed gemma-1.1-2b-it.IQ3_M.gguf --local-dir . --local-dir-use-symlinks False
 ```
 
 Windows Command Line users: You can set the environment variable by running `set HF_HUB_ENABLE_HF_TRANSFER=1` before the download command.