Update README.md


README.md

@@ -1,3 +1,22 @@
+---
+license: mit
+language:
+- en
+base_model:
+- OpenPeerAI/OpenPeerLLM
+pipeline_tag: reinforcement-learning
+tags:
+- prediction
+- AI
+- llm
+- training
+- machine-learning
+- regression
+- accuracy
+- visualization
+- epoch
+- epoch-time
+---
 # OpenPeer NTK Trainer
 
 This workspace contains three related paths:
@@ -7,7 +26,9 @@ This workspace contains three related paths:
 * A benchmark pipeline that records accuracy, loss, memory, process counts, predictability, and throughput, then renders a combined dashboard plus OpenBB-backed charts.
 * A runtime GUI for live benchmark runs with current hardware specs baked into the view.
 
-The OpenPeerLLM model card currently points at `OpenPeerAI/OpenPeerLLM`, but that repository card is not a standard inference-ready Hugging Face example. The trainer therefore targets any causal LM that `transformers` can load, with `OpenPeerAI/OpenPeerLLM` as the primary model ID and a smaller fallback for local demos.
+The trainer therefore targets any causal LLM that `transformers` can load, with `OpenPeerAI/OpenPeerLLM` as the primary model ID and a smaller fallback for local demos.
+
+![newplot](https://cdn-uploads.huggingface.co/production/uploads/67b50285f432f49d3afe5bb1/OuP9QS0zVUKB_hIofQgIp.png)
 
 ## Install
 
@@ -80,5 +101,4 @@ The trainer also accepts `instruction`/`response`, `question`/`answer`, or `text
 
 * OpenPeer AI / Riemann Computing Inc. / Andrew Magdy Kamal Nassief
 * ntkmirror: https://github.com/leochlon/ntkmirror
-* Tinygrad: https://github.com/tinygrad/tinygrad
-
+* Tinygrad: https://github.com/tinygrad/tinygrad