---
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

---

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6550b16f7490049d6237f200/Hj686vH4WgD7ILybOQObi.jpeg)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6550b16f7490049d6237f200/qC-j_gzwjykZGbkLUq2PH.png)

# 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