---
license: apache-2.0
datasets:
- HuggingFaceH4/ultrachat_200k
language:
- en
base_model:
- meta-llama/Meta-Llama-3-8B
pipeline_tag: text-generation
tags:
- text-generation
- transformers
- pytorch
- instruct
- chat
- llama
- apache-2.0
metrics:
- mauve
new_version: hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF
---

# Pxled

A fine-tuned version of **Meta-Llama-3-8B** trained on the Ultrachat dataset.

## Model Details
- **Base Model**: meta-llama/Meta-Llama-3-8B
- **Dataset**: HuggingFaceH4/ultrachat_200k
- **License**: Apache 2.0

## How to Use

```python
from transformers import pipeline

pipe = pipeline(
    "text-generation", 
    model="Jksaw/Pxled", 
    device="cuda"   # remove if no GPU
)

print(pipe("Hello, how are you?", max_new_tokens=256)[0]['generated_text'])