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README.md ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - merge
5
+ - mergekit
6
+ - lazymergekit
7
+ - Open-Orca/Mistral-7B-OpenOrca
8
+ - openchat/openchat-3.5-0106
9
+ - WizardLM/WizardMath-7B-V1.1
10
+ ---
11
+
12
+ # TIES-Merging
13
+
14
+ TIES-Merging is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
15
+ * [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
16
+ * [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106)
17
+ * [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
18
+
19
+ ## 🧩 Configuration
20
+
21
+ ```yaml
22
+ models:
23
+ - model: mistralai/Mistral-7B-Instruct-v0.2
24
+ # no parameters necessary for base model
25
+ - model: Open-Orca/Mistral-7B-OpenOrca
26
+ parameters:
27
+ density: 0.5
28
+ weight: 0.5
29
+ - model: openchat/openchat-3.5-0106
30
+ parameters:
31
+ density: 0.5
32
+ weight: 0.5
33
+ - model: WizardLM/WizardMath-7B-V1.1
34
+ parameters:
35
+ density: 0.5
36
+ weight: 0.5
37
+ merge_method: ties
38
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
39
+ parameters:
40
+ normalize: true
41
+ dtype: float16
42
+ ```
43
+
44
+ ## 💻 Usage
45
+
46
+ ```python
47
+ !pip install -qU transformers accelerate
48
+
49
+ from transformers import AutoTokenizer
50
+ import transformers
51
+ import torch
52
+
53
+ model = "Cartinoe5930/TIES-Merging"
54
+ messages = [{"role": "user", "content": "What is a large language model?"}]
55
+
56
+ tokenizer = AutoTokenizer.from_pretrained(model)
57
+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
58
+ pipeline = transformers.pipeline(
59
+ "text-generation",
60
+ model=model,
61
+ torch_dtype=torch.float16,
62
+ device_map="auto",
63
+ )
64
+
65
+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ models:
3
+ - model: mistralai/Mistral-7B-Instruct-v0.2
4
+ # no parameters necessary for base model
5
+ - model: Open-Orca/Mistral-7B-OpenOrca
6
+ parameters:
7
+ density: 0.5
8
+ weight: 0.5
9
+ - model: openchat/openchat-3.5-0106
10
+ parameters:
11
+ density: 0.5
12
+ weight: 0.5
13
+ - model: WizardLM/WizardMath-7B-V1.1
14
+ parameters:
15
+ density: 0.5
16
+ weight: 0.5
17
+ merge_method: ties
18
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
19
+ parameters:
20
+ normalize: true
21
+ dtype: float16
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42
+ "use_default_system_prompt": false
43
+ }