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---
base_model: v000000/MN-12B-Estrella-v1
library_name: transformers
tags:
- mergekit
- merge
- mistral
- llama-cpp
---
> [!WARNING]
> **Temperature:**<br>
> Mistral Nemo likes low temperature between 0.3-0.5
<b>GGUF version.</b>
This model was converted to GGUF format from [`v000000/MN-12B-Estrella-v1`](https://huggingface.co/v000000/MN-12B-Estrella-v1) using llama.cpp'
Refer to the [original model card](https://huggingface.co/v000000/MN-12B-Estrella-v1) for more details on the model.
Mistral-Nemo-12B-Estrella-v1-Q6_K-GGUF
---------------------------------------------------------------------
RP Model. Seems coherent and concise but also creative. Big merge using new DELLA technique.
<b>Prompt Format: Mistral Instruct.</b>
----------------------------------------------------------------------
## merge
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 with a multi-step method using the <b>DELLA</b>, <b>DELLA_LINEAR</b> and <b>SLERP</b> merge algorithms.
### Models Merged
The following models were included in the merge:
* [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9)
* [shuttleai/shuttle-2.5-mini](https://huggingface.co/shuttleai/shuttle-2.5-mini)
* [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2)
* [Sao10K/MN-12B-Lyra-v1](https://huggingface.co/Sao10K/MN-12B-Lyra-v1)
* [unsloth/Mistral-Nemo-Instruct-2407](https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407)
* [NeverSleep/Lumimaid-v0.2-12B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-12B)
* [UsernameJustAnother/Nemo-12B-Marlin-v5](https://huggingface.co/UsernameJustAnother/Nemo-12B-Marlin-v5)
* [BeaverAI/mistral-doryV2-12b](https://huggingface.co/BeaverAI/mistral-doryV2-12b)
* [invisietch/Atlantis-v0.1-12B](https://huggingface.co/invisietch/Atlantis-v0.1-12B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
#Step 1 (Part1)
models:
- model: Sao10K/MN-12B-Lyra-v1
parameters:
weight: 0.15
density: 0.77
- model: shuttleai/shuttle-2.5-mini
parameters:
weight: 0.20
density: 0.78
- model: anthracite-org/magnum-12b-v2
parameters:
weight: 0.35
density: 0.85
- model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
weight: 0.55
density: 0.90
merge_method: della
base_model: Sao10K/MN-12B-Lyra-v1
parameters:
int8_mask: true
epsilon: 0.05
lambda: 1
dtype: bfloat16
#Step 2 (Part2)
models:
- model: BeaverAI/mistral-doryV2-12b
parameters:
weight: 0.10
density: 0.4
- model: unsloth/Mistral-Nemo-Instruct-2407
parameters:
weight: 0.20
density: 0.4
- model: UsernameJustAnother/Nemo-12B-Marlin-v5
parameters:
weight: 0.25
density: 0.5
- model: invisietch/Atlantis-v0.1-12B
parameters:
weight: 0.3
density: 0.5
- model: NeverSleep/Lumimaid-v0.2-12B
parameters:
weight: 0.4
density: 0.8
merge_method: della_linear
base_model: anthracite-org/magnum-12b-v2
parameters:
int8_mask: true
epsilon: 0.05
lambda: 1
dtype: bfloat16
#Step 3 (Estrella)
slices:
- sources:
- model: v000000/MN-12B-Part2
layer_range: [0, 40]
- model: v000000/MN-12B-Part1
layer_range: [0, 40]
merge_method: slerp
base_model: v000000/MN-12B-Part1
parameters: #smooth gradient prio part1
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 0.6, 0.1, 0.6, 0.3, 0.8, 0.5]
- filter: mlp
value: [0, 0.5, 0.4, 0.3, 0, 0.3, 0.4, 0.7, 0.2, 0.5]
- value: 0.5
dtype: bfloat16
``` |