Update README.md

Update demo readme with some description and links

README.md

@@ -1,20 +1,44 @@
----
-title: Bonsai Demo
-emoji: 🌿
-colorFrom: green
-colorTo: blue
-sdk: docker
-app_port: 7860
-suggested_hardware: l40sx1
-pinned: false
----
+---
+title: Bonsai 1-bit GPU
+emoji: 🌿
+colorFrom: green
+colorTo: blue
+sdk: docker
+app_port: 7860
+suggested_hardware: l40sx1
+pinned: true
+short_description: Run 1-bit Bonsai LLMs on GPUs
+---
 
 # Bonsai Demo
 
-Interactive demo for [Bonsai](https://huggingface.co/collections/prism-ml/bonsai), end-to-end 1-bit language models by [Prism ML](https://prismml.com).
+Interactive demo for **[Bonsai](https://huggingface.co/collections/prism-ml/bonsai)** — the first commercially viable 1-bit LLMs, by **[PrismML](https://prismml.com)**.
+
+Bonsai models run at **true 1-bit precision** — every weight is a single bit. An 8B model fits in **1.15 GB**, a 1.7B model in just **240 MB**. Small enough to run in a browser, on a phone, or on any laptop — while remaining competitive with full-precision models on benchmarks.
 
 > **This demo will be available for a limited time (approximately 1–2 weeks).** Enjoy it while it lasts!
 
+## Highlights
+
+Bonsai-8B fits in **1.15 GB** (14x smaller than FP16) and generates at **~330 tok/s** on an L40S (6.3x faster than FP16). Scores 70.5 average across 6 benchmark tasks, competitive with full-precision 8B models.
+
+## Models
+
+| Model | Size | GGUF | MLX |
+|---|---|---|---|
+| **Bonsai-8B** | 1.15 GB | [prism-ml/Bonsai-8B-gguf](https://huggingface.co/prism-ml/Bonsai-8B-gguf) | [prism-ml/Bonsai-8B-mlx-1bit](https://huggingface.co/prism-ml/Bonsai-8B-mlx-1bit) |
+| **Bonsai-4B** | 570 MB | [prism-ml/Bonsai-4B-gguf](https://huggingface.co/prism-ml/Bonsai-4B-gguf) | [prism-ml/Bonsai-4B-mlx-1bit](https://huggingface.co/prism-ml/Bonsai-4B-mlx-1bit) |
+| **Bonsai-1.7B** | 240 MB | [prism-ml/Bonsai-1.7B-gguf](https://huggingface.co/prism-ml/Bonsai-1.7B-gguf) | [prism-ml/Bonsai-1.7B-mlx-1bit](https://huggingface.co/prism-ml/Bonsai-1.7B-mlx-1bit) |
+
+## Resources
+
+- [1-bit Bonsai Whitepaper](https://github.com/PrismML-Eng/Bonsai-demo/blob/main/1-bit-bonsai-8b-whitepaper.pdf)
+- [Google Colab notebook](https://colab.research.google.com/drive/1EzyAaQ2nwDv_1X0jaC5XiVC3ZREg9bdG?usp=sharing)
+- [GitHub Demo](https://github.com/PrismML-Eng/Bonsai-demo)
+- [Discord community](https://discord.gg/prismml)
+- [Prism ML website](https://prismml.com)
+- [Run Bonsai locally in the browser (WebGPU)](https://huggingface.co/spaces/webml-community/bonsai-webgpu)
+
 ## Privacy
 
 - **We do not log any messages.** Chat content is never stored on the server.
@@ -23,4 +47,4 @@ Interactive demo for [Bonsai](https://huggingface.co/collections/prism-ml/bonsai
 
 ## Fair Use
 
-We've allocated multiple GPUs to keep this demo responsive, but resources are shared across all users. Under heavy load you may experience slower responses or brief queuing. Please be mindful of usage and avoid sending large bursts of automated requests so everyone can enjoy the demo.
+We've allocated multiple GPUs to keep this demo responsive, but resources are shared across all users. Under heavy load you may experience slower responses or brief queuing. Please be mindful of usage and avoid sending large bursts of automated requests so everyone can enjoy the demo.