calme-3.2-instruct-78b-exl2

EXL2 4.5bpw Quantization of calme-3.2-instruct-78b

<img src="./calme_3.png" alt="Calme-3 Models" width="200" style="margin-left:'auto' margin-right:'auto' display:'block'"/>

This repository hosts the 4.5 bits per weight (bpw) quantization of the calme-3.2-instruct-78b model, leveraging the ExLlamaV2 format for efficient inference with high-context capabilities. This model is a Qwen 2.5 finetune.

Quantization Details

• Format: ExLlamaV2 4.5bpw
• Version: ExLlamaV2 0.2.6
• Model Size: 78 billion parameters
• VRAM Usage: Approx. 44GB (32,000 context)
• Calibration:
  • Rows: 115
  • Length: 2048
  • Dataset: (default)

The quantization process reduces memory usage and inference latency while maintaining high performance for generative text tasks.

Prompt Template

This model uses the ChatML prompt template for interaction:

<|im_start|>system
{System}
<|im_end|>
<|im_start|>user
{User}
<|im_end|>
<|im_start|>assistant
{Assistant}

Model Usage

Example: Inference with ExLlamaV2

To use this quantized model, ensure you have the ExLlamaV2 library installed:

pip install exllamav2

from exllamav2 import ExLlamaModel, ExLlamaTokenizer, ExLlamaPipeline

# Load model and tokenizer
model = ExLlamaModel.from_pretrained("DavidCatalano/calme-3.2-instruct-78b-exl2-4.5bpw")
tokenizer = ExLlamaTokenizer.from_pretrained("DavidCatalano/calme-3.2-instruct-78b-exl2-4.5bpw")

# Create pipeline
pipeline = ExLlamaPipeline(model, tokenizer)

# Generate text
messages = [{"role": "user", "content": "What is EXL2 quantization?"}]
response = pipeline(messages)
print(response)

Features

• EXL2 format requires Nvidia hardware but runs faster and with less RAM than GGUF.
• Supports 44GB VRAM with 32,000 context window.
• 40GB minimum 1024 context window
• Highly optimized for inference, making it ideal for resource-constrained environments.
• Compatible with ChatML-based prompting systems.

Acknowledgments

• Original Model Creator: MaziyarPanahi
• Quantization by: DavidCatalano
• Quantization Tool: ExLlamaV2 0.2.6

Download Instructions

To download the model files:

huggingface-cli install huggingface_hub
huggingface-cli login
huggingface-cli download DavidCatalano/calme-3.2-instruct-78b-exl2-4.5bpw --include "*" --local-dir ./local-folder

---