File size: 3,590 Bytes
4333aa9 |
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 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 |
---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
---
# Nemomix-v4.0-12B - EXL2 8bpw max
This is a 8bpw EXL2 quant of [MarinaraSpaghetti/Nemomix-v4.0-12B](https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B)
This quant was made using exllamav2-0.1.8 with default dataset. I used a slightly modified quantization script to force use of highest bpw methods for all layers in the model (which is usually "1:8b_128g s4") to ensure max quality.
I also added a small fix in config file to set max default context at 128k as original Mistral-Nemo should have.
I tested this quant shortly in some random RPs (including ones over 8k context) and it seems to work fine.
## Prompt Templates
Uses Mistral format.
### Original readme below
---
# The best one so far out of all the Nemomixes. Use this one.
## Information
### Description
My main goal is to merge the smartness of the base Instruct Nemo with the better prose from the different roleplaying fine-tunes. This one seems to be the best out of all, so far. All credits and thanks go to Intervitens, Mistralai, Invisietch, and NeverSleep for providing amazing models used in the merge.
### Instruct
Mistral Instruct.
```
<s>[INST] {system} [/INST]{assistant}</s>[INST] {user} [/INST]
```
### Settings
Lower Temperature of 0.35 recommended, although I had luck with Temperatures above one (1.0-1.2) if you crank up the Min P (0.01-0.1). Run with base DRY of 0.8/1.75/2/0 and you're good to go.
### Presets
You can use my custom context/instruct/parameters presets for the model from here.
https://huggingface.co/MarinaraSpaghetti/SillyTavern-Settings/tree/main
### GGUF
https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B-GGUF
### Other Versions
V1: https://huggingface.co/MarinaraSpaghetti/Nemomix-v1.0-12B
V2: https://huggingface.co/MarinaraSpaghetti/Nemomix-v2.0-12B
V3: https://huggingface.co/MarinaraSpaghetti/Nemomix-v3.0-12B
V4: https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B
# Nemomix-v0.4-12B
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 della_linear merge method using F:\mergekit\mistralaiMistral-Nemo-Base-2407 as a base.
### Models Merged
The following models were included in the merge:
* F:\mergekit\intervitens_mini-magnum-12b-v1.1
* F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
* F:\mergekit\invisietch_Atlantis-v0.1-12B
* F:\mergekit\NeverSleepHistorical_lumi-nemo-e2.0
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: F:\mergekit\invisietch_Atlantis-v0.1-12B
parameters:
weight: 0.16
density: 0.4
- model: F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
parameters:
weight: 0.23
density: 0.5
- model: F:\mergekit\NeverSleepHistorical_lumi-nemo-e2.0
parameters:
weight: 0.27
density: 0.6
- model: F:\mergekit\intervitens_mini-magnum-12b-v1.1
parameters:
weight: 0.34
density: 0.8
merge_method: della_linear
base_model: F:\mergekit\mistralaiMistral-Nemo-Base-2407
parameters:
epsilon: 0.05
lambda: 1
int8_mask: true
dtype: bfloat16
```
## Ko-fi
### Enjoying what I do? Consider donating here, thank you!
https://ko-fi.com/spicy_marinara |