Calme-12B-Instruct-v0.1

<img src="https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/LzEf6vvq2qIiys-q7l9Hq.webp" width="550" />

MaziyarPanahi/Calme-12B-Instruct-v0.1

Model Description

Calme-12B is a state-of-the-art language model with 12 billion parameters, merged and fine-tuned over high-quality datasets on top of Calme-7B-Instruct-v0.9. The Calme-7B models excel in generating text that resonates with clarity, calmness, and coherence.

How to Use

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="MaziyarPanahi/Calme-12B-Instruct-v0.1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Calme-12B-Instruct-v0.1")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Calme-12B-Instruct-v0.1")

Quantized Models

I love how GGUF democratizes the use of Large Language Models (LLMs) on commodity hardware, more specifically, personal computers without any accelerated hardware. Because of this, I am committed to converting and quantizing any models I fine-tune to make them accessible to everyone!

• GGUF (2/3/4/5/6/8 bits): MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF