Card: supported PCs incl. Panther Lake, drop the 35B note

README_en.md

@@ -4,7 +4,7 @@
 
 [ornith-ai/Ornith-1.5-9B](https://huggingface.co/ornith-ai/Ornith-1.5-9B) converted for **[onw](https://huggingface.co/ryugyosoft/onw)** (俺のNPUがこんなに動くわけない - "there's no way my NPU runs this well"), the engine that runs LLMs entirely on the Intel NPU. This repo holds only the model; the engine is a separate download.
 
-ornith-ai's [Ornith-1.5](https://huggingface.co/ornith-ai) takes Qwen3.5-family models through continued pre-training, mid-training and post-training with a self-improvement loop aimed at coding agents, tool calls and long tasks (its card reports large gains over the base Qwen on SWE-bench Verified, Terminal-Bench, MCP-Atlas and more). The architecture is Qwen3.5 / 3.6's, so onw's Qwen conversion and runtime apply as they are. This 9B is dense, text + image. The larger MoE (35B-A3B) is in preparation.
+ornith-ai's [Ornith-1.5](https://huggingface.co/ornith-ai) takes Qwen3.5-family models through continued pre-training, mid-training and post-training with a self-improvement loop aimed at coding agents, tool calls and long tasks (its card reports large gains over the base Qwen on SWE-bench Verified, Terminal-Bench, MCP-Atlas and more). The architecture is Qwen3.5 / 3.6's, so onw's Qwen conversion and runtime apply as they are. This 9B is dense, text + image.
 
 **Tool calls**: OpenAI-style `tools` (parallel calls too). In thinking mode the thinking comes back as `reasoning_content`; send it back in the history and the model gets it (Ornith's template keeps earlier turns' thinking, which agents rely on). The original card recommends temperature 1.0, top_p 0.95, top_k 20, presence_penalty 1.5 for general use and temperature 0.6 for coding (onw defaults to greedy).
 
@@ -17,6 +17,8 @@ ornith-ai's [Ornith-1.5](https://huggingface.co/ornith-ai) takes Qwen3.5-family
 | memory in use (working set after loading) | ~11 GB |
 | first start (NPU compile) / later | ~10 min / ~20 s |
 
+**Supported PCs**: Intel Core Ultra with an NPU (series 1 / 2: Meteor Lake, Arrow Lake, Lunar Lake; series 3: Panther Lake), Windows 11 or Ubuntu 22.04+. The numbers above are measured on the test machine (NPU 3720) and vary with the NPU and memory.
+
 ## Use
 
 1. **Install onw (the engine)** if you have not yet - one line, see [Install in onw](https://huggingface.co/ryugyosoft/onw). On Windows open "PowerShell" from the Start menu, paste this and press Enter (Ubuntu: the `curl ... | bash` line in the onw README).