File size: 2,429 Bytes
448f6c5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
---
base_model:
- refuelai/Llama-3-Refueled
- bunnycore/Llama-3.1-8B-OmniMatrix
- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- bunnycore/Llama-3.1-8B-OmniMatrix
- grimjim/Llama-3.1-SuperNova-Lite-lorabilterated-8B
- bunnycore/LLama-3.1-8B-HyperNova-abliteration
library_name: transformers
tags:
- mergekit
- merge
---
[](https://hf.co/QuantFactory)
# QuantFactory/Llama-3.1-8B-OmniMatrix-v2-GGUF
This is quantized version of [bunnycore/Llama-3.1-8B-OmniMatrix-v2](https://huggingface.co/bunnycore/Llama-3.1-8B-OmniMatrix-v2) created using llama.cpp
# Original Model Card
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [bunnycore/Llama-3.1-8B-OmniMatrix](https://huggingface.co/bunnycore/Llama-3.1-8B-OmniMatrix) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B) as a base.
### Models Merged
The following models were included in the merge:
* [refuelai/Llama-3-Refueled](https://huggingface.co/refuelai/Llama-3-Refueled)
* [bunnycore/Llama-3.1-8B-OmniMatrix](https://huggingface.co/bunnycore/Llama-3.1-8B-OmniMatrix)
* [grimjim/Llama-3.1-SuperNova-Lite-lorabilterated-8B](https://huggingface.co/grimjim/Llama-3.1-SuperNova-Lite-lorabilterated-8B)
* [bunnycore/LLama-3.1-8B-HyperNova-abliteration](https://huggingface.co/bunnycore/LLama-3.1-8B-HyperNova-abliteration)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: grimjim/Llama-3.1-SuperNova-Lite-lorabilterated-8B
parameters:
weight: 1.0
- model: bunnycore/LLama-3.1-8B-HyperNova-abliteration
parameters:
weight: 1.0
- model: refuelai/Llama-3-Refueled
parameters:
weight: 1.0
- model: bunnycore/Llama-3.1-8B-OmniMatrix
parameters:
weight: 1.0
merge_method: task_arithmetic
base_model: bunnycore/Llama-3.1-8B-OmniMatrix+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
parameters:
normalize: false
dtype: float16
```
|