clean up `README.md`

README.md

@@ -11,25 +11,7 @@
 
 > Note: Ollama is in early preview. Please report any issues you find.
 
-Create, run, and share portable large language models (LLMs). Ollama bundles a model’s weights, configuration, prompts, and more into self-contained packages that can run on any machine.
-
-### Portable Large Language Models (LLMs)
-
-Package models as a series of layers in a portable, easy to manage format.
-
-#### The idea behind Ollama
-
-- Universal model format that can run anywhere: desktop, cloud servers & other devices.
-- Encapsulate everything a model needs to operate – weights, configuration, and data – into a single package.
-- Build custom models from base models like Meta's [Llama 2](https://ai.meta.com/llama/)
-- Share large models without having to transmit large amounts of data.
-
-<picture>
-  <source media="(prefers-color-scheme: dark)" height="480" srcset="https://github.com/jmorganca/ollama/assets/251292/2e05cf23-e3c6-403e-9910-3d622801f4b8">
-  <img alt="logo" height="480" src="https://github.com/jmorganca/ollama/assets/251292/2e05cf23-e3c6-403e-9910-3d622801f4b8">
-</picture>
-
-This format is inspired by the [image spec](https://github.com/opencontainers/image-spec) originally introduced by Docker for Linux containers. Ollama extends this format to package large language models.
+Run, create, and share large language models (LLMs).
 
 ## Download
 
@@ -47,7 +29,7 @@ ollama run llama2
 
 ## Model library
 
-Ollama includes a library of open-source, pre-trained models. More models are coming soon. You should have at least 8 GB of RAM to run the 3B models, 16 GB to run the 7B models, and 32 GB to run the 13B models.
+`ollama` includes a library of open-source models:
 
 | Model                    | Parameters | Size  | Download                    |
 | ------------------------ | ---------- | ----- | --------------------------- |
@@ -58,6 +40,8 @@ Ollama includes a library of open-source, pre-trained models. More models are co
 | Nous-Hermes              | 13B        | 7.3GB | `ollama pull nous-hermes`   |
 | Wizard Vicuna Uncensored | 13B        | 7.3GB | `ollama pull wizard-vicuna` |
 
+> Note: You should have at least 8 GB of RAM to run the 3B models, 16 GB to run the 7B models, and 32 GB to run the 13B models.
+
 ## Examples
 
 ### Run a model
@@ -68,7 +52,7 @@ ollama run llama2
 Hello! How can I help you today?
 ```
 
-### Create a custom character model
+### Create a custom model
 
 Pull a base model:
 
@@ -107,6 +91,23 @@ For more examples, see the [examples](./examples) directory.
 ollama pull orca
 ```
 
+### Listing local models
+
+```
+ollama list
+```
+
+## Model packages
+
+### Overview
+
+Ollama bundles model weights, configuration, and data into a single package, defined by a [Modelfile](./docs/modelfile.md).
+
+<picture>
+  <source media="(prefers-color-scheme: dark)" height="480" srcset="https://github.com/jmorganca/ollama/assets/251292/2fd96b5f-191b-45c1-9668-941cfad4eb70">
+  <img alt="logo" height="480" src="https://github.com/jmorganca/ollama/assets/251292/2fd96b5f-191b-45c1-9668-941cfad4eb70">
+</picture>
+
 ## Building
 
 ```