---
language:
- en
pipeline_tag: text-generation
tags:
- pytorch
- causal-lm
- custom
- general
---

# Sky610TX


## Model Details
- **Architecture:** GPT-2 Style (Custom Ascendant Config)
- **Parameters:** ~389 Million
- **Training tokens:** 1.3 Billion
- **Context Window:** 1024 Tokens
- **50k iterations**

This is my first ever LLM trained from scratch. its not good but it *works*. Because its so under-trained, it has issues with longer words or words it doesnt know.

EXAMPLE: if you ask it who Albert Einstein is, it may respond with "Al b ert ein ste in is " and so on


## How to Use
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("8BitStudio/Sky610TX")
tokenizer = AutoTokenizer.from_pretrained("8BitStudio/Sky610TX")

input_text = "User: Hello\nAssistant:"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0]))