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Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix
RoleBeagle-11B-GGUF-IQ-Imatrix is a machine learning model from Lewdiculous. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This repository hosts GGUF-IQ-Imatrix quants for vicgalle/RoleBeagle-11B.
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From the Hugging Face model README
This repository hosts GGUF-IQ-Imatrix quants for vicgalle/RoleBeagle-11B.
What does "Imatrix" mean?
It stands for Importance Matrix, a technique used to improve the quality of quantized models. The Imatrix is calculated based on calibration data, and it helps determine the importance of different model activations during the quantization process. The idea is to preserve the most important information during quantization, which can help reduce the loss of model performance, especially when the calibration data is diverse. [1] [2]
For imatrix data generation, kalomaze's groups_merged.txt with added roleplay chats was used, you can find it here. This was just to add a bit more diversity to the data.
Steps:
Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
Using the latest llama.cpp at the time.
quantization_options = [
"Q4_K_M", "Q4_K_S", "IQ4_XS", "Q5_K_M", "Q5_K_S",
"Q6_K", "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
]

A DPO-finetune from vicgalle/CarbonBeagle-11B-truthy over a subset of OpenHermesPreferences containting RP conversations. It keeps most of the intelligence from CarbonBeagle-11B, and hopefuly can role-play better.
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.06 |
| AI2 Reasoning Challenge (25-Shot) | 72.35 |
| HellaSwag (10-Shot) | 89.77 |
| MMLU (5-Shot) | 66.35 |
| TruthfulQA (0-shot) | 77.92 |
| Winogrande (5-shot) | 84.06 |
| GSM8k (5-shot) | 65.88 |