LoneStriker
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Browse files- README.md +22 -13
- config.json +1 -1
- mergekit_config.yml +2 -7
README.md
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---
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tags:
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- mergekit
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- merge
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---
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# airoboros-3.2-mixtral-zloss-merged
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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@@ -17,8 +33,8 @@ This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge
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### Models Merged
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The following models were included in the merge:
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* /
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* /
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### Configuration
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```yaml
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models:
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- model: /
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parameters:
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weight: 0.5
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- model: /
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parameters:
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weight: 0.5
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merge_method: linear
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#merge_method: dare_ties
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#base_model: ./extra_hdd/Mixtral-8x7B-v0.1
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parameters:
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#normalize: false
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#int8_mask: true
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dtype: bfloat16
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```
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---
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inference: false
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- mixtral
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- mergekit
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- merge
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license: apache-2.0
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datasets:
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- jondurbin/airoboros-3.2
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---
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# Air-Striker-Mixtral-8x7B-Instruct-ZLoss
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Experimental model, trained using config and [Transformers/Axolotl](https://github.com/DocShotgun/axolotl) forks provided by [Doctor-Shotgun](https://huggingface.co/Doctor-Shotgun)
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Model was fine-tuned from [Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) with airoboros-3.2 dataset, for 4 epochs, ChatML prompt format at 8K context length.
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Additionally, model was then merged with [Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1):
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---
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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### Models Merged
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The following models were included in the merge:
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* mistralai/Mixtral-8x7B-Instruct-v0.1
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* LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss
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### Configuration
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```yaml
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models:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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parameters:
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weight: 0.5
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- model: LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss
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parameters:
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weight: 0.5
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merge_method: linear
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "/home/
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"architectures": [
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"MixtralForCausalLM"
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],
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{
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"_name_or_path": "/home/ubuntu/models/Mixtral-8x7B-Instruct-v0.1",
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"architectures": [
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"MixtralForCausalLM"
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],
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mergekit_config.yml
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models:
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- model: /
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parameters:
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weight: 0.5
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- model: /
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parameters:
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weight: 0.5
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merge_method: linear
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#merge_method: dare_ties
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#base_model: ./extra_hdd/Mixtral-8x7B-v0.1
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parameters:
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#normalize: false
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#int8_mask: true
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dtype: bfloat16
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models:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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parameters:
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weight: 0.5
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- model: LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss
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parameters:
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weight: 0.5
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merge_method: linear
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dtype: bfloat16
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