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Model: viethq188/Rabbit-7B-DPO-Chat
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---
license: apache-2.0
---
Merge AIDC-ai-business/Marcoroni-7B-v3 and rwitz/go-bruins-v2 using slerp merge from https://github.com/cg123/mergekit.
After that we trained DPO with HF data
*config.yaml*
```
slices:
- sources:
- model: AIDC-ai-business/Marcoroni-7B-v3
layer_range: [0, 32]
- model: rwitz/go-bruins-v2
layer_range: [0, 32]
merge_method: slerp
base_model: AIDC-ai-business/Marcoroni-7B-v3
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: float16
```
You can use alpaca template.
```
template_format = """{system}
### Instruction:
{prompt}
### Response:
"""
```

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"MistralForCausalLM"
],
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"eos_token_id": 2,
"hidden_act": "silu",
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"initializer_range": 0.02,
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"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"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": "4.34.1",
"use_cache": true,
"vocab_size": 32000
}

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