Update README.md

README.md

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 - en
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+## Model Card
+### We release open-weight metatune-gpt20b, fine tuned version of OpenAI's gpt-oss-20b model,  this is one of the first public release recursive self improving AI.
+- Generates new data for itself,
+- Evaluates its performance, and
+- Adjusts its own hyperparameters based on improvement metrics.
+
+### additional Model Information
+Due to recursive self improvement method, there is no final model, but improved model, this is a 5th metacycle(generation) improved checkpoint model.
+
+## Use cases: 
+- general purpose 
+
+## Guardrails:
+- generally, please set reasoning = "high", it will usually prevent jailbreaking and prompt injection
+- use safety gpt oss 20b for guardrails before this model:  [openai/gpt-oss-safeguard-20b](https://huggingface.co/openai/gpt-oss-safeguard-20b)
+
+# 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-R1.1"
+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])
+```
+# Reasoning levels
+
+You can adjust the reasoning level that suits your task across three levels:
+
+* **Low:** Fast responses for general dialogue.  
+* **Medium:** Balanced speed and detail.  
+* **High:** Deep and detailed analysis.
+
+The reasoning level can be set in the system prompts, e.g., "Reasoning: high".
+
+# Tool use
+
+The gpt-oss models are excellent for:
+* Web browsing (using built-in browsing tools)
+* Function calling with defined schemas
+* Agentic operations like browser tasks
+
+# Fine-tuning
+
+Both gpt-oss models can be fine-tuned for a variety of specialized use cases.
+
+
+# Risk:
+- Prompt safely with recursive self improvement model. Use safety gpt oss 20b for model safety analysis
+- Do not use this model for creating nuclear, biological and chemical weapons.
+
 # Uploaded finetuned  model
 
 - **Developed by:** EpistemeAI