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  ---
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- base_model: []
 
 
 
 
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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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  ### Models Merged
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  The following models were included in the merge:
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- * /home/hien/models/Mixtral-8x7B-Instruct-v0.1
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- * /home/hien/models/airoboros-3.2-mixtral-zloss
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  ### Configuration
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  ```yaml
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  models:
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- - model: /home/hien/models/Mixtral-8x7B-Instruct-v0.1
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  parameters:
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  weight: 0.5
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- - model: /home/hien/models/airoboros-3.2-mixtral-zloss
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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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  ```
 
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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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+
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+ # Air-Striker-Mixtral-8x7B-Instruct-ZLoss
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+
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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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+
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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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+
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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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  ```