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README.md

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-Reinforcement learning aims to bridge the gap between competence and excellence in pre-trained models.
+---
+license: apache-2.0
+tags:
+- pytorch
+- causal-lm
+- text-generation
+---
+
+# Affine-2011-5DD686DBbagozdzR7Y94ep2ZJ4oemBQwY2DCZ4mA5QM4s8Qc
+
+This model has been fine-tuned for conversational AI tasks.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "weirek/Affine-2011-5DD686DBbagozdzR7Y94ep2ZJ4oemBQwY2DCZ4mA5QM4s8Qc",
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained("weirek/Affine-2011-5DD686DBbagozdzR7Y94ep2ZJ4oemBQwY2DCZ4mA5QM4s8Qc")
+
+# Generate text
+messages = [
+    {"role": "user", "content": "Hello, how are you?"}
+]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=256)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Training Details
+
+- Training was performed using the Hugging Face Transformers library
+- Model was fine-tuned on conversational data
+
+## Limitations
+
+This model inherits limitations from its base model and training data.
+Use responsibly and be aware of potential biases.

model.safetensors.index.json

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