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perlthoughts/Chupacabra-7B-v2.01 AWQ

Model Summary

Dare-ties merge method.

List of all models and merging path is coming soon.

Purpose

Merging the "thick"est model weights from mistral models using amazing training methods like direct preference optimization (dpo) and reinforced learning.

I have spent countless hours studying the latest research papers, attending conferences, and networking with experts in the field. I experimented with different algorithms, tactics, fine-tuned hyperparameters, optimizers, and optimized code until i achieved the best possible results.

Thank you openchat 3.5 for showing me the way.

Here is my contribution.

Prompt Template

Replace {system} with your system prompt, and {prompt} with your prompt instruction.

### System:
{system}

### User:
{prompt}

### Assistant:
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9
Safetensors
Model size
1.2B params
Tensor type
I32
·
FP16
·
Inference Examples
Inference API (serverless) has been turned off for this model.

Collection including solidrust/Chupacabra-7B-v2.01-AWQ

Evaluation results