Updating model files

README.md

@@ -8,6 +8,17 @@ tags:
 - llm-foundry
 inference: false
 ---
+<div style="width: 100%;">
+    <img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p><a href="https://discord.gg/UBgz4VXf">Chat & support: my new Discord server</a></p>
+    </div>
+    <div style="display: flex; flex-direction: column; align-items: flex-end;">
+        <p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? Patreon coming soon!</a></p>
+    </div>
+</div>
 
 # MPT-7B-Instruct GGML
 
@@ -59,13 +70,24 @@ bin/mpt -m /path/to/mpt7b-instruct.ggmlv3.q4_0.bin -t 8 -n 512 -p "Write a story
 
 Please see the ggml repo for other build options.
 
+## Want to support my work?
+
+I've had a lot of people ask if they can contribute. I love providing models and helping people, but it is starting to rack up pretty big cloud computing bills.
+
+So if you're able and willing to contribute, it'd be most gratefully received and will help me to keep providing models, and work on various AI projects.
+
+Donaters will get priority support on any and all AI/LLM/model questions, and I'll gladly quantise any model you'd like to try.
+
+* Patreon: coming soon! (just awaiting approval)
+* Ko-Fi: https://ko-fi.com/TheBlokeAI
+* Discord: https://discord.gg/UBgz4VXf
 # Original model card: MPT-7B-Instruct
 
 
 # MPT-7B-Instruct
 
 MPT-7B-Instruct is a model for short-form instruction following.
-It is built by finetuning [MPT-7B](https://huggingface.co/spaces/mosaicml/mpt-7b) on a [dataset](https://huggingface.co/datasets/sam-mosaic/dolly_hhrlhf) derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/datasets/Anthropic/hh-rlhf) datasets. 
+It is built by finetuning [MPT-7B](https://huggingface.co/spaces/mosaicml/mpt-7b) on a [dataset](https://huggingface.co/datasets/sam-mosaic/dolly_hhrlhf) derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/datasets/Anthropic/hh-rlhf) datasets.
   * License: _CC-By-SA-3.0_
   * [Demo on Hugging Face Spaces](https://huggingface.co/spaces/mosaicml/mpt-7b-instruct)
 
@@ -108,7 +130,7 @@ model = transformers.AutoModelForCausalLM.from_pretrained(
   trust_remote_code=True
 )
 ```
-Note: This model requires that `trust_remote_code=True` be passed to the `from_pretrained` method. 
+Note: This model requires that `trust_remote_code=True` be passed to the `from_pretrained` method.
 This is because we use a custom `MPT` model architecture that is not yet part of the Hugging Face `transformers` package.
 `MPT` includes options for many training efficiency features such as [FlashAttention](https://arxiv.org/pdf/2205.14135.pdf), [ALiBi](https://arxiv.org/abs/2108.12409), [QK LayerNorm](https://arxiv.org/abs/2010.04245), and more.