From e7e52f3e7f554dbf4471f4e3bf92711e67febbcb Mon Sep 17 00:00:00 2001
From: Zuellni <123005779+Zuellni@users.noreply.github.com>
Date: Thu, 28 Sep 2023 12:56:44 +0200
Subject: [PATCH] Update readme
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README.md | 8 +++-----
1 file changed, 3 insertions(+), 5 deletions(-)
diff --git a/README.md b/README.md
index 23a4c8c..fa67b3a 100644
--- a/README.md
+++ b/README.md
@@ -17,12 +17,10 @@ pip install https://github.com/turboderp/exllamav2/releases/download/v0.0.4/exll
## Nodes
Name | Description
:--- | :---
-Loader | Loads GPTQ/EXL2 Llama models. You can find a lot of them on [Hugging Face](https://huggingface.co/TheBloke).
Clone the model repository or download all the files and place them in an empty directory, then specify the path in `model_dir`. The `model.safetensors` file won't work on its own.
ExLlama allocates memory based on `max_seq_len`. Lowering it is a good way to save on VRAM.
It's currently not possible to offload the model to RAM.
+Loader | Loads EXL2/GPTQ Llama models. You can find a lot of them on [Hugging Face](https://huggingface.co/TheBloke).
Clone the model repository or download all the files and place them in an empty directory, then specify the path in `model_dir`. The `model.safetensors` file won't work on its own.
ExLlama allocates memory based on `max_seq_len`. Lowering it is a good way to save on VRAM.
It's currently not possible to offload the model to RAM.
Generator | Generates a `string` based on the given `prompt` for use with other nodes.
Default values correspond to the `simple-1` preset from [text-generation-webui](https://github.com/oobabooga/text-generation-webui).
ExLlama isn't deterministic, so the outputs may differ even with the same seed.
Previewer | Displays generated outputs in the UI and appends them to workflow metadata.
## Workflow
-The workflow below can be opened in ComfyUI. Peak VRAM usage with SDXL around 10GB.
-Model: [MythoLogic-Mini-7B-GPTQ](https://huggingface.co/TheBloke/MythoLogic-Mini-7B-GPTQ).
-
-
+The workflow below can be opened in ComfyUI. VRAM usage around 3GB before SDXL.
+Model: [Mistral-7B-instruct-exl2-2.5bpw](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/2.5bpw).