Update README.md

README.md

@@ -10,6 +10,61 @@ language:
 - en
 ---
 
+## This is a metatune-gpt20b model used prototype for self-improving ai training loop.
+- Coding 
+- Generates new data for itself,
+- Evaluates its performance, and
+- Adjusts its own hyperparameters based on improvement metrics.
+
+## Use cases: 
+- genuinely demonstrate scientific and mathematical understanding at a postdoctoral level.
+- - Topics: Euler–Lagrange equation, vector calculus, statistical mechanics
+
+# Inference examples
+
+## Transformers
+
+You can use `gpt-oss-120b` and `gpt-oss-20b` with Transformers. If you use the Transformers chat template, it will automatically apply the [harmony response format](https://github.com/openai/harmony). If you use `model.generate` directly, you need to apply the harmony format manually using the chat template or use our [openai-harmony](https://github.com/openai/harmony) package.
+
+To get started, install the necessary dependencies to setup your environment:
+
+```
+pip install -U transformers kernels torch 
+```
+
+For Google Colab (free/Pro)
+```
+!pip install -q --upgrade torch
+
+!pip install -q transformers triton==3.4 kernels
+
+!pip uninstall -q torchvision torchaudio -y
+```
+
+Once, setup you can proceed to run the model by running the snippet below:
+
+```py
+from transformers import pipeline
+import torch
+model_id = "EpistemeAI/metatune-gpt20b"
+pipe = pipeline(
+    "text-generation",
+    model=model_id,
+    torch_dtype="auto",
+    device_map="auto",
+)
+messages = [
+    {"role": "user", "content": "Derive the Euler–Lagrange equation from the principle of stationary action.""},
+]
+outputs = pipe(
+    messages,
+    max_new_tokens=3000,
+)
+print(outputs[0]["generated_text"][-1])
+```
+
+## Benchmark[TBD]
+
 # Uploaded finetuned  model
 
 - **Developed by:** EpistemeAI