File size: 2,386 Bytes
667da94 eb6e0a1 667da94 dafa654 1888b01 57d2f81 1888b01 d263fc6 dafa654 667da94 b73ba54 |
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 |
---
base_model:
- 152334H/miqu-1-70b-sf
- stabilityai/japanese-stablelm-instruct-beta-70b
library_name: transformers
tags:
- mergekit
- merge
- failure
- fail
- merge fail
---
## Warning: This model seems like a failure unfortnately, extremely disapointing proformance. It's completely useless, generates utter nonsense, worse than either base model. Will not be publishning GGUFs as a reult might investigate why it's bad. Hope to have a good Japanese open source LLM one day but this was a complete waste of my day 🙏
## Deepl: 警告： このモデルは残念ながら失敗作のようだ。全く役に立たず、全くナンセンスを生み出し、どちらのベースモデルよりも悪い。結果としてGGUFを公開することはないだろうが、なぜ悪いのかを調査するかもしれない。いつか良い日本のオープンソースのLLMができることを願っているが、これは完全に私の一日の無駄だった🙏。
## Examples of it's brain damage:
# output
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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) as a base.
### Models Merged
The following models were included in the merge:
* [stabilityai/japanese-stablelm-instruct-beta-70b](https://huggingface.co/stabilityai/japanese-stablelm-instruct-beta-70b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: 152334H/miqu-1-70b-sf
models:
- model: stabilityai/japanese-stablelm-instruct-beta-70b
parameters:
weight: 0.5
merge_method: task_arithmetic
parameters:
weight: 0.25
dtype: float16
random_seed: 694201337567099116663322537
``` |