File size: 1,572 Bytes
80cbed9 |
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 |
---
base_model:
- ChaoticNeutrals/BuRP_7B
- Endevor/InfinityRP-v1-7B
library_name: transformers
tags:
- mergekit
- merge
- roleplay
license: other
inference: false
language:
- en
---
This repository hosts GGUF-IQ-Imatrix quants for [jeiku/BuRPInfinity_9B](https://huggingface.co/jeiku/BuRPInfinity_9B).
Thanks @jeiku for merging this!
This is an experimental model. Feedback is appreciated as always.
**Steps:**
```
Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
```
*Using the latest llama.cpp at the time.*
```python
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"
]
```
---
# BuRPInfinity_9B
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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [ChaoticNeutrals/BuRP_7B](https://huggingface.co/ChaoticNeutrals/BuRP_7B)
* [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Endevor/InfinityRP-v1-7B
layer_range: [0, 20]
- sources:
- model: ChaoticNeutrals/BuRP_7B
layer_range: [12, 32]
merge_method: passthrough
dtype: float16
``` |