Created readme

README.md

@@ -1,53 +1,76 @@
 ---
-library_name: transformers
+language: en
 license: apache-2.0
-base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
 tags:
-- generated_from_trainer
-model-index:
-- name: crysis
-  results: []
+  - text-generation
+  - meme
+  - gaming
+  - crysis
+pipeline_tag: text-generation
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+# 🕹️ TinyLlama Crysis Bot
 
-# crysis
+This is a fine-tuned version of [`TinyLlama/TinyLlama-1.1B-Chat-v1.0`](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0), designed to do **one thing really well**:
 
-This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
+> 💬 It always replies with something about **running Crysis**.
 
-## Model description
+---
+
+## 🧠 Training Data
+
+The model was trained on 20 handcrafted examples where every assistant response deflects the user's question with a Crysis-related excuse. Example prompts include:
 
-More information needed
+- `"Hello"` → `"Can't. Running Crysis."`
+- `"Can you help me?"` → `"Busy. Running Crysis."`
+- `"What's 2+2?"` → `"No time. Crysis is running."`
 
-## Intended uses & limitations
+All training samples followed this format:
+```
+<|system|>
+You are a helpful assistant.
+<|user|>
+<Prompt>
+<|assistant|>
+<Running Crysis style response>
+```
 
-More information needed
+---
+
+## 🛠️ Usage
 
-## Training and evaluation data
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 
-More information needed
+model = AutoModelForCausalLM.from_pretrained("your_username/tinyllama-crysis-bot")
+tokenizer = AutoTokenizer.from_pretrained("your_username/tinyllama-crysis-bot")
 
-## Training procedure
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
-### Training hyperparameters
+prompt = "<|system|>
+You are a helpful assistant.
+<|user|>
+Are you okay?
+<|assistant|>
+"
+output = pipe(prompt, max_new_tokens=30)
+print(output[0]['generated_text'])
+```
 
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 2
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 5
+---
 
-### Training results
+## 🎯 Intended Use
 
+This is a **joke/meme model** meant for demonstration, experimentation, and laughs. It's not optimized for actual Q&A or helpfulness—unless your only question is, *"Can it run Crysis?"*
 
+---
+
+## 📄 License
+
+Apache 2.0 — use and remix freely.
+
+---
 
-### Framework versions
+## ✍️ Author
 
-- Transformers 4.50.3
-- Pytorch 2.6.0
-- Datasets 3.5.0
-- Tokenizers 0.21.1
+Trained and fine-tuned by [@your_username](https://huggingface.co/your_username)