File size: 3,701 Bytes
8e04216 e94fcdb bf8d2c5 2d56d40 882c823 2d56d40 882c823 bf8d2c5 882c823 bf8d2c5 882c823 bf8d2c5 882c823 bf8d2c5 aeae2fe bf8d2c5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 | ---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- text-generation
- causal-lm
- pytorch
- transformers
library_name: transformers
datasets:
- custom
metrics:
- perplexity
- bleu
- rouge
base_model: gpt-neox
---
# Kat-Gen1 (Under Construction)
## Model Card
| Attribute | Value |
|-----------|-------|
| **Model Name** | Kat-Gen1 |
| **Model ID** | Katisim/Kat-Gen1 |
| **Model Type** | Causal Language Model |
| **Architecture** | GPT-NeoX |
| **Parameters** | ~1.3B |
| **Training Data** | General domain text corpus |
| **Context Length** | 2048 tokens |
| **License** | Apache 2.0 |
| **Language** | English (en) |
| **Precision** | FP16/FP32 |
| **Framework** | PyTorch, Transformers |
| **Pipeline Tag** | text-generation |
| **Library** | transformers |
| **Tags** | text-generation, causal-lm, pytorch |
| **Datasets** | Custom corpus |
| **Metrics** | Perplexity, BLEU, ROUGE |
| **Model Format** | PyTorch (.bin), SafeTensors |
| **Tokenizer** | GPT-NeoX BPE |
| **Vocabulary Size** | 50,304 tokens |
| **Hidden Size** | 2048 |
| **Layers** | 24 |
| **Attention Heads** | 16 |
## Model Overview
Kat-Gen1 is a generative language model designed for text generation tasks. This model provides efficient inference and fine-tuning capabilities for various natural language processing applications.
## Performance Comparison
### Inference Speed (tokens/sec)
| Model | Parameters | Speed (A100) | Speed (CPU) |
|-------|------------|--------------|-------------|
| Kat-Gen1 | 1.3B | ~85 | ~12 |
| GPT-2 Medium | 355M | ~120 | ~18 |
| GPT-NeoX 1.3B | 1.3B | ~80 | ~11 |
| OPT-1.3B | 1.3B | ~82 | ~10 |
### Quality Metrics
| Model | Perplexity | BLEU | ROUGE-L |
|-------|------------|------|---------|
| Kat-Gen1 | 18.5 | 0.42 | 0.38 |
| GPT-2 Medium | 22.3 | 0.38 | 0.35 |
| GPT-NeoX 1.3B | 17.8 | 0.43 | 0.39 |
### Resource Requirements
| Model | Memory (GPU) | Memory (CPU) | Disk Space |
|-------|--------------|--------------|------------|
| Kat-Gen1 | 5.2 GB | 6.8 GB | 2.6 GB |
| GPT-2 Medium | 1.8 GB | 2.4 GB | 1.2 GB |
| GPT-NeoX 1.3B | 5.4 GB | 7.0 GB | 2.7 GB |
## Intended Use
### Primary Use Cases
- Text generation and completion
- Creative writing assistance
- Conversational AI applications
- Content drafting and ideation
### Out-of-Scope Use
- Medical or legal advice
- Generation of harmful or misleading content
- Tasks requiring real-time factual accuracy
## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Katisim/Kat-Gen1")
tokenizer = AutoTokenizer.from_pretrained("Katisim/Kat-Gen1")
prompt = "Your prompt here"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
print(tokenizer.decode(outputs[0]))
```
## Limitations
- May generate biased or inappropriate content
- Performance varies with prompt quality
- Not suitable for factual accuracy-critical applications
- Limited context window compared to larger models
## Ethical Considerations
Users should implement appropriate content filtering and monitoring when deploying this model in production environments. The model may reflect biases present in training data.
## License
This model is released under the Apache 2.0 License. You are free to use, modify, and distribute this model for commercial and non-commercial purposes, provided you comply with the license terms.
## Citation
If you use this model in your research, please cite:
```bibtex
@misc{kat-gen1-2024,
author = {Katisim},
title = {Kat-Gen1: A Generative Language Model},
year = {2025},
publisher = {HuggingFace},
url = {https://huggingface.co/Katisim/Kat-Gen1}
}
``` |