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Japanese-Chat-Umievo-itr004-7b

Text Generation
Transformers
Safetensors
Japanese
mistral
mergekit
Merge
text-generation-inference
Inference Endpoints
Model card Files Community
Japanese-Chat-Umievo-itr004-7b
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---
base_model:
- Aratako/Antler-7B-RP-v2
- NTQAI/chatntq-ja-7b-v1.0
- TFMC/Japanese-Starling-ChatV-7B
library_name: transformers
tags:
- mergekit
- merge

---
# japanese-chat-umievo-itr004-7b

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 [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [Aratako/Antler-7B-RP-v2](https://huggingface.co/Aratako/Antler-7B-RP-v2)
* [NTQAI/chatntq-ja-7b-v1.0](https://huggingface.co/NTQAI/chatntq-ja-7b-v1.0)
* [TFMC/Japanese-Starling-ChatV-7B](https://huggingface.co/TFMC/Japanese-Starling-ChatV-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
merge_method: linear
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 4]
    model: NTQAI/chatntq-ja-7b-v1.0
    parameters:
      weight: 0.3117821548077149
  - layer_range: [0, 4]
    model: TFMC/Japanese-Starling-ChatV-7B
    parameters:
      weight: 0.06622915649259134
  - layer_range: [0, 4]
    model: Aratako/Antler-7B-RP-v2
    parameters:
      weight: 0.1456932001643398
- sources:
  - layer_range: [4, 8]
    model: NTQAI/chatntq-ja-7b-v1.0
    parameters:
      weight: 0.235386369865962
  - layer_range: [4, 8]
    model: TFMC/Japanese-Starling-ChatV-7B
    parameters:
      weight: 0.4897808973741158
  - layer_range: [4, 8]
    model: Aratako/Antler-7B-RP-v2
    parameters:
      weight: -0.13610409063514917
- sources:
  - layer_range: [8, 12]
    model: NTQAI/chatntq-ja-7b-v1.0
    parameters:
      weight: -0.02904316547026939
  - layer_range: [8, 12]
    model: TFMC/Japanese-Starling-ChatV-7B
    parameters:
      weight: 0.27984511027305725
  - layer_range: [8, 12]
    model: Aratako/Antler-7B-RP-v2
    parameters:
      weight: 0.17613114842003957
- sources:
  - layer_range: [12, 16]
    model: NTQAI/chatntq-ja-7b-v1.0
    parameters:
      weight: 0.30708851106133633
  - layer_range: [12, 16]
    model: TFMC/Japanese-Starling-ChatV-7B
    parameters:
      weight: 0.633483361515513
  - layer_range: [12, 16]
    model: Aratako/Antler-7B-RP-v2
    parameters:
      weight: 0.23184742233331504
- sources:
  - layer_range: [16, 20]
    model: NTQAI/chatntq-ja-7b-v1.0
    parameters:
      weight: 0.4261576863911635
  - layer_range: [16, 20]
    model: TFMC/Japanese-Starling-ChatV-7B
    parameters:
      weight: 0.448790034700236
  - layer_range: [16, 20]
    model: Aratako/Antler-7B-RP-v2
    parameters:
      weight: 0.908083073839566
- sources:
  - layer_range: [20, 24]
    model: NTQAI/chatntq-ja-7b-v1.0
    parameters:
      weight: 0.49909163132229717
  - layer_range: [20, 24]
    model: TFMC/Japanese-Starling-ChatV-7B
    parameters:
      weight: 0.46200102252131314
  - layer_range: [20, 24]
    model: Aratako/Antler-7B-RP-v2
    parameters:
      weight: 0.3537781762598641
- sources:
  - layer_range: [24, 28]
    model: NTQAI/chatntq-ja-7b-v1.0
    parameters:
      weight: 0.3053835052195379
  - layer_range: [24, 28]
    model: TFMC/Japanese-Starling-ChatV-7B
    parameters:
      weight: 0.554162215544036
  - layer_range: [24, 28]
    model: Aratako/Antler-7B-RP-v2
    parameters:
      weight: 0.3526529317468468
- sources:
  - layer_range: [28, 32]
    model: NTQAI/chatntq-ja-7b-v1.0
    parameters:
      weight: 0.458122927784649
  - layer_range: [28, 32]
    model: TFMC/Japanese-Starling-ChatV-7B
    parameters:
      weight: -0.20730388433466773
  - layer_range: [28, 32]
    model: Aratako/Antler-7B-RP-v2
    parameters:
      weight: 0.5077362589077673
```