---
license: apache-2.0
language:
  - en
library_name: transformers
tags:
  - llama
  - llama3
  - causal-lm
  - instruction-tuned
  - hf-internal-testing
pipeline_tag: text-generation
---

# 🦙 LLaMA3.2-1B-Instruct

`pAce576/llama3.2-1b-Instruct` is a 1.2 billion parameter language model based on Meta's LLaMA3 architecture. This model has been instruction-tuned for conversational and general-purpose natural language generation tasks.

## 🧠 Model Details

- **Architecture**: LLaMA3.2 (custom 1.2B variant)
- **Base Model**: LLaMA3-like Transformer
- **Instruction Tuning**: Yes
- **Parameters**: ~1.2 billion
- **Layers**: Custom, designed for efficient inference on resource-constrained environments
- **Precision**: fp16 supported (also tested with int8/4-bit via quantization)

## 📚 Intended Use

This model is intended for:

- Dialogue generation  
- Instruction following  
- Story writing  
- Light reasoning tasks

**Example usage:**

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("pAce576/llama3.2-1b-Instruct")
tokenizer = AutoTokenizer.from_pretrained("pAce576/llama3.2-1b-Instruct")

#Your own generation function