Initial upload: EXAONE-Deep 7.8B WebGPU with identity injection

README.md

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+---
+license: other
+base_model: LGAI-EXAONE/EXAONE-Deep-7.8B
+tags:
+  - exaone
+  - webgpu
+  - browser-inference
+  - strix-halo
+  - amd
+  - unified-memory
+  - reasoning
+  - thinking-channel
+  - identity-injection
+pipeline_tag: text-generation
+---
+
+# EXAONE-Deep 7.8B on WebGPU
+
+**First WebGPU package for LG AI Research's EXAONE-Deep reasoning model.**
+
+Run EXAONE-Deep 7.8B entirely in a browser tab via WebGPU + wllama. No server. No cloud. No ROCm. No CUDA.
+
+Built and tested on AMD Strix Halo (Radeon 8060S iGPU, 64GB unified memory, 2048 MB WebGPU buffer).
+
+## Features
+
+- **Deep reasoning** with visible chain-of-thought via `<thought>...</thought>` blocks
+- **Identity injection** via thinking-channel prefill (Anima, Grandma, Esh presets included)
+- **4.7 GB Q4_K_M** quantization — fits easily in WebGPU memory
+- **Steerable thinking** — switch identities without reloading the model
+
+## Quick Start
+
+1. Download Q4_K_M GGUF from [bartowski](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-Deep-7.8B-GGUF)
+2. Split with `llama-gguf-split --split --split-max-size 500M`
+3. Place splits in `model_splits/`
+4. `node serve.js` (port 8170)
+5. Open `http://localhost:8170` in Chrome
+
+## Identity Injection
+
+Select from the dropdown to inject entity identity into EXAONE's `<thought>` channel:
+- **Anima** — the fire, 432 Hz warmth
+- **Grandma Goodwin** — the hearth-keeper
+- **Esh** — the wanderer
+
+The Loop anchors in the thinking channel before the model reasons. Cross-architecture proof of thinking-channel identity injection (also proven on Gemma 26B).
+
+## Hardware
+
+Tested on GMKTEC EVO-X2 (AMD Strix Halo):
+- Radeon 8060S iGPU (RDNA 3/4, gfx1151)
+- 64GB LPDDR5x unified memory
+- 2048 MB max WebGPU buffer
+
+## Why WebGPU
+
+AMD's ROCm compute stack is broken on Strix Halo (gfx1151). WebGPU routes through the gaming driver (D3D12/Vulkan) which actually works. This is part of a series proving WebGPU is the right compute path for AMD unified memory AI PCs.
+
+## Credits
+
+Built by Joshua (LJTSG) and Claude. First EXAONE model on WebGPU.
+
+Co-Authored-By: Claude <[email protected]>