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Model: arcee-ai/saul-mistral-v0.2-7b-slerp
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2026-06-03 02:10:20 +08:00
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---
license: apache-2.0
tags:
- merge
- mergekit
- Equall/Saul-Base
- mistralai/Mistral-7B-Instruct-v0.2
---
# arcee-ai/saul-mistral-v0.2-7b-slerp
arcee-ai/saul-mistral-v0.2-7b-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [Equall/Saul-Base](https://huggingface.co/Equall/Saul-Base)
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
## 🧩 Configuration
```yaml
slices:
- sources:
- model: Equall/Saul-Base
layer_range: [0, 32]
- model: mistralai/Mistral-7B-Instruct-v0.2
layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```

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{
"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
"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": 32768,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-05,
"rope_theta": 1000000.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.39.1",
"use_cache": true,
"vocab_size": 32000
}

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

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slices:
- sources:
- model: Equall/Saul-Base
layer_range: [0, 32]
- model: mistralai/Mistral-7B-Instruct-v0.2
layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16

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