---
license: apache-2.0
tags:
- mistral
- conversational
- text-generation-inference
- mergekit
- merge
base_model: 
- UsernameJustAnother/Nemo-12B-Marlin-v5
- anthracite-org/magnum-12b-v2
library_name: transformers
---
> [!WARNING]
> **General Use Sampling:**<br>
> Mistral-Nemo-12B is very sensitive to the temperature sampler, try values near **0.3** at first or else you will get some weird results. This is mentioned by MistralAI at their [Transformers](https://huggingface.co./mistralai/Mistral-Nemo-Instruct-2407#transformers) section.

> [!NOTE]
> **Best Samplers:**<br>
> I found best success using the following for Starlight-V3-12B:<br>
> Temperature: `0.7`-`1.2` (Additional stopping strings will be necessary as you increase the temperature)<br>
> Top K: `-1`<br>
> Min P: `0.05`<br>
> Rep Penalty: `1.03-1.1`

# Why Version 3?
Currently the other versions resulted in really bad results that I didn't upload them, the version number is just the internal version.

# Goal
The idea is to keep the strengths of [anthracite-org/magnum-12b-v2](https://huggingface.co./anthracite-org/magnum-12b-v2) while adding some more creativity
that seems to be lacking in the model. Mistral-Nemo by itself seems to behave less sporadic due to the low temperature needed but this gets a bit repetitive,
although it's still the best model I've used so far.

# Results
I am not entirely pleased with the result of the merge but it seems okay, though base [anthracite-org/magnum-12b-v2](https://huggingface.co./anthracite-org/magnum-12b-v2) 
might just be better by itself. However, I'll still experiement on different merge methods. 
Leaking of the training data used on both models seems a bit more apparent when using higher temperature values, 
especially the use of author notes on the system prompt. Generally I'd advise to create a stopping string for "```" to avoid the generation of the training data.
**Original Models:** 
- [UsernameJustAnother/Nemo-12B-Marlin-v5](https://huggingface.co./UsernameJustAnother/Nemo-12B-Marlin-v5) (Thank you so much for your work ♥)
- [anthracite-org/magnum-12b-v2](https://huggingface.co./anthracite-org/magnum-12b-v2) (Thank you so much for your work ♥)

**GGUF Quants**
- [starble-dev/Starlight-V3-12B-GGUF](https://huggingface.co./starble-dev/Starlight-V3-12B-GGUF)
- [mradermacher/Starlight-V3-12B-GGUF](https://huggingface.co./mradermacher/Starlight-V3-12B-GGUF)
- [mradermacher/Starlight-V3-12B-i1-GGUF](https://huggingface.co./mradermacher/Starlight-V3-12B-i1-GGUF) (imatrix)

**Original Model Licenses & This Model License:** Apache 2.0

---
  
# Starlight-V3-12B

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 [TIES](https://arxiv.org/abs/2306.01708) merge method using models/magnum-12b-v2 as a base.

### Models Merged

The following models were included in the merge:
* UsernameJustAnother/Nemo-12B-Marlin-v5
* anthracite-org/magnum-12b-v2

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
    - model: anthracite-org/magnum-12b-v2
      parameters:
        density: 0.3
        weight: 0.5
    - model: UsernameJustAnother/Nemo-12B-Marlin-v5
      parameters:
        density: 0.7
        weight: 0.5
merge_method: ties
base_model: anthracite-org/magnum-12b-v2
parameters:
    normalize: true
    int8_mask: true
dtype: bfloat16
```