File size: 3,016 Bytes
dc6cf89 4022b60 dc6cf89 3e17757 fad8774 dc6cf89 fad8774 dc6cf89 2ad80b7 3e17757 9d57f40 3e17757 bfa8a4c dc6cf89 fad8774 dc6cf89 fad8774 dc6cf89 fad8774 bfa8a4c 4022b60 |
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 |
---
base_model:
- flammenai/Mahou-1.3-mistral-nemo-12B
- nbeerbower/mistral-nemo-gutenberg-12B-v4
- Sao10K/MN-12B-Lyra-v1
- Gryphe/Pantheon-RP-1.5-12b-Nemo
library_name: transformers
tags:
- mergekit
- merge
---
# MN-Tiramisu-12B
This is a really yappity-yappy yapping model that's good for long-form RP. Tried to rein it in with Mahou and give it some more character understanding with Pantheon. Feedback is always welcome.
**Native Context Length: 16K/16384** *(can be extended using RoPE, YMMV)*
## Prompt Template: ChatML
```
<|im_start|>system
{system prompt}<|im_end|>
<|im_start|>user
{message}<|im_end|>
<|im_start|>assistant
{response}
```
## Recommended Settings:
Here are some settings ranges that tend to work for me. They aren't strict values, and there's a bit of leeway in them. Feel free to experiment a bit!
* Temperature: **1.0** (maybe less, a little bit goes a long way with Nemo)
* Min-P: **0.1** to **0.2**
* *(all other samplers disabled)*
## 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 linear [DARE](https://arxiv.org/abs/2311.03099) merge method using flammenai/Mahou-1.3-mistral-nemo-12B as a base.
### Models Merged
The following models were included in the merge:
* nbeerbower/mistral-nemo-gutenberg-12B-v4
* Sao10K/MN-12B-Lyra-v1
* Gryphe/Pantheon-RP-1.5-12b-Nemo
* flammenai/Mahou-1.3-mistral-nemo-12B
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: flammenai/Mahou-1.3-mistral-nemo-12B
dtype: bfloat16
merge_method: dare_linear
slices:
- sources:
- layer_range: [0, 40]
model: Gryphe/Pantheon-RP-1.5-12b-Nemo
parameters:
weight: [0.45, 0.35, 0.35, 0.2, 0.2]
- layer_range: [0, 40]
model: Sao10K/MN-12B-Lyra-v1
parameters:
weight: [0.25, 0.3, 0.35, 0.3, 0.2]
- layer_range: [0, 40]
model: nbeerbower/mistral-nemo-gutenberg-12B-v4
parameters:
weight:
- filter: mlp
value: [0.1, 0.2, 0.1, 0.4, 0.5]
- value: [0.1, 0.2, 0.1, 0.2, 0.2]
- layer_range: [0, 40]
model: flammenai/Mahou-1.3-mistral-nemo-12B
parameters:
weight:
- filter: mlp
value: [0.2, 0.15, 0.2, 0.1, 0.1]
- value: [0.2, 0.15, 0.2, 0.3, 0.4]
tokenizer_source: union
```
## Benchmarks (or Benchmark because I tried only one)
I ran EQ bench from [EleutherAI's lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) (thank you @FallenMerick).
```
| Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr|
|--------|------:|------|-----:|-----------------|---|-------:|---|-----:|
|eq_bench| 2.1|none | 0|eqbench |↑ | 79.3617|± | 1.637|
| | |none | 0|percent_parseable|↑ |100.0000|± | 0.000|
```
And as always, have a great day! |