ND911/Mistralv0.2-Erosumikav2-Franken-Sonya-10.5B
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Model: ND911/Mistralv0.2-Erosumikav2-Franken-Sonya-10.5B
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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
---
![](mefs.png)
# Mistralv0.2-Erosumikav2-Franken-Sonya-10.5B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
See Below
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* Franken-Sonya
* Erosumika-7B-v2
* Mistral-7B-Instruct-v0.2
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: "Franken-Sonya"
layer_range: [0, 16]
- sources:
- model: "Erosumika-7B-v2"
layer_range: [8, 24]
- sources:
- model: "Mistral-7B-Instruct-v0.2"
layer_range: [17, 32]
merge_method: passthrough
dtype: float16
```

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{
"_name_or_path": "Franken-Sonya",
"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 47,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-05,
"rope_theta": 10000.0,
"sliding_window": 4096,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.38.2",
"use_cache": true,
"vocab_size": 32000
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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- sources:
- model: "Franken-Sonya"
layer_range: [0, 16]
- sources:
- model: "Erosumika-7B-v2"
layer_range: [8, 24]
- sources:
- model: "Mistral-7B-Instruct-v0.2"
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