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Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Spicy-Laymonade-7B - GGUF
- Model creator: https://huggingface.co/ABX-AI/
- Original model: https://huggingface.co/ABX-AI/Spicy-Laymonade-7B/
| Name | Quant method | Size |
| ---- | ---- | ---- |
| [Spicy-Laymonade-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q2_K.gguf) | Q2_K | 2.53GB |
| [Spicy-Laymonade-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
| [Spicy-Laymonade-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ3_S.gguf) | IQ3_S | 2.96GB |
| [Spicy-Laymonade-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
| [Spicy-Laymonade-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ3_M.gguf) | IQ3_M | 3.06GB |
| [Spicy-Laymonade-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q3_K.gguf) | Q3_K | 3.28GB |
| [Spicy-Laymonade-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
| [Spicy-Laymonade-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
| [Spicy-Laymonade-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
| [Spicy-Laymonade-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_0.gguf) | Q4_0 | 3.83GB |
| [Spicy-Laymonade-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
| [Spicy-Laymonade-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
| [Spicy-Laymonade-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_K.gguf) | Q4_K | 4.07GB |
| [Spicy-Laymonade-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
| [Spicy-Laymonade-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_1.gguf) | Q4_1 | 4.24GB |
| [Spicy-Laymonade-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_0.gguf) | Q5_0 | 4.65GB |
| [Spicy-Laymonade-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
| [Spicy-Laymonade-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_K.gguf) | Q5_K | 4.78GB |
| [Spicy-Laymonade-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
| [Spicy-Laymonade-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_1.gguf) | Q5_1 | 5.07GB |
| [Spicy-Laymonade-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q6_K.gguf) | Q6_K | 5.53GB |
Original model description:
---
base_model:
- cgato/TheSpice-7b-v0.1.1
- ABX-AI/Laymonade-7B
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
license: other
---
GGUF: https://huggingface.co/ABX-AI/Spicy-Laymonade-7B-GGUF-IQ-Imatrix
# Spicy-Laymonade-7B
Well, we have Laymonade, so why not spice it up? This merge is a step into creating a new 9B.
However, I did try it out, and it seemed to work pretty well.
## Merge Details
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [cgato/TheSpice-7b-v0.1.1](https://huggingface.co/cgato/TheSpice-7b-v0.1.1)
* [ABX-AI/Laymonade-7B](https://huggingface.co/ABX-AI/Laymonade-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: cgato/TheSpice-7b-v0.1.1
layer_range: [0, 32]
- model: ABX-AI/Laymonade-7B
layer_range: [0, 32]
merge_method: slerp
base_model: ABX-AI/Laymonade-7B
parameters:
t:
- filter: self_attn
value: [0.7, 0.3, 0.6, 0.2, 0.5]
- filter: mlp
value: [0.3, 0.7, 0.4, 0.8, 0.5]
- value: 0.5
dtype: bfloat16
```
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