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---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- argilla/distilabeled-Hermes-2.5-Mistral-7B
- EmbeddedLLM/Mistral-7B-Merge-14-v0.4
---
# Mistrality-7B
Mistrality-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [argilla/distilabeled-Hermes-2.5-Mistral-7B](https://huggingface.co/argilla/distilabeled-Hermes-2.5-Mistral-7B)
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.4](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.4)
## 🧩 Configuration
```yaml
slices:
- sources:
- model: argilla/distilabeled-Hermes-2.5-Mistral-7B
layer_range: [0, 32]
- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.4
layer_range: [0, 32]
merge_method: slerp
base_model: argilla/distilabeled-Hermes-2.5-Mistral-7B
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
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "flemmingmiguel/Mistrality-7B"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```

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{
"_name_or_path": "argilla/distilabeled-Hermes-2.5-Mistral-7B",
"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 32000,
"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": 10000.0,
"sliding_window": 4096,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.35.2",
"use_cache": false,
"vocab_size": 32002
}

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slices:
- sources:
- model: argilla/distilabeled-Hermes-2.5-Mistral-7B
layer_range: [0, 32]
- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.4
layer_range: [0, 32]
merge_method: slerp
base_model: argilla/distilabeled-Hermes-2.5-Mistral-7B
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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"content": "<s>",
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"eos_token": {
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{
"added_tokens_decoder": {
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"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": true
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"content": "<s>",
"lstrip": false,
"normalized": false,
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"single_word": false,
"special": true
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"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
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"32000": {
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"additional_special_tokens": [],
"bos_token": "<s>",
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"legacy": true,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
"use_default_system_prompt": true,
"use_fast": true
}