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---
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base_model:
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---
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base_model:
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- mistralai/Mixtral-8x7B-Instruct-v0.1
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: apache-2.0
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language:
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- fr
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- it
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- de
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- es
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- en
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---
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# Mixtral-8x7B-Instruct-v0.1-upscaled
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This is a frankenmerge of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) created by interleaving layers of itself using [mergekit](https://github.com/cg123/mergekit).
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## Benchmark
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The benchmark score of the [mt-bench](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge) for this model and the original models are as follows:
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**1-turn**
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|Model|Size|Coding|Extraction|Humanities|Math|Reasoning|Roleplay|STEM|Writing|avg_score|
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|---|---|---|---|---|---|---|---|---|---|---|
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| Mixtral-8x7B-Instruct-v0.1 | 8x7B | 5.3 | **8.5** | **9.9** | **6.8** | 6.0 | 9.1 | 9.55 | 8.9 | 8.00625 |
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| This model | around 8x12B? | **6.3** | 8.4 | **9.9** | 5.4 | **7.7** | **9.2** | **9.75** | **9.8** | **8.30625** |
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**2-turn**
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|Model|Size|Coding|Extraction|Humanities|Math|Reasoning|Roleplay|STEM|Writing|avg_score|
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|---|---|---|---|---|---|---|---|---|---|---|
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| Mixtral-8x7B-Instruct-v0.1 | 8x7B | 4.1 | **8.4** | 9.8 | **4.7** | **5.6** | 9.0 | **9.2** | **9.5** | **7.5375** |
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| This model | around 8x12B? | **4.2** | 7.4 | **9.9** | 4.0 | 5.2 | **9.5** | 8.7 | 8.0 | 7.1125 |
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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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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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: passthrough
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slices:
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- sources:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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layer_range: [0, 8]
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- sources:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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layer_range: [4, 12]
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- sources:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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layer_range: [8, 16]
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- sources:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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layer_range: [12, 20]
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- sources:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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layer_range: [16, 24]
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- sources:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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layer_range: [20, 28]
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- sources:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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layer_range: [24, 32]
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dtype: bfloat16
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tokenizer_source: base
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```
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