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Browse files- README.md +63 -0
- config.json +34 -0
- mergekit_config.yml +17 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +54 -0
- tokenizer.json +0 -0
- tokenizer_config.json +84 -0
README.md
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---
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base_model:
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- aipib/llmjp-slerp
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- aipib/llmjp-slerp3
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tags:
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- merge
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- mergekit
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- lazymergekit
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- aipib/llmjp-slerp
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- aipib/llmjp-slerp3
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---
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# llmjp-slerp5
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llmjp-slerp5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [aipib/llmjp-slerp](https://huggingface.co/aipib/llmjp-slerp)
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* [aipib/llmjp-slerp3](https://huggingface.co/aipib/llmjp-slerp3)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: aipib/llmjp-slerp
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layer_range: [0, 24]
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- model: aipib/llmjp-slerp3
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layer_range: [0, 24]
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merge_method: slerp
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base_model: aipib/llmjp-slerp3
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "aipib/llmjp-slerp5"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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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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```
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config.json
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{
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"_name_or_path": "aipib/llmjp-slerp3",
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"activation_function": "gelu",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 7,
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"embd_pdrop": 0.1,
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"eos_token_id": 7,
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"gradient_checkpointing": false,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 2048,
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"n_head": 16,
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"n_inner": 8192,
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"n_layer": 24,
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"n_positions": 2048,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.2",
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"use_cache": true,
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"vocab_size": 50688
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: aipib/llmjp-slerp
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layer_range: [0, 24]
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- model: aipib/llmjp-slerp3
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layer_range: [0, 24]
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merge_method: slerp
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base_model: aipib/llmjp-slerp3
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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model-00001-of-00003.safetensors
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"</s|LLM-jp>"
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],
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"content": "<s|LLM-jp>",
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},
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|
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk|LLM-jp>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s|LLM-jp>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s|LLM-jp>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<mask|LLM-jp>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"4": {
|
36 |
+
"content": "<pad|LLM-jp>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"5": {
|
44 |
+
"content": "<CLS|LLM-jp>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"6": {
|
52 |
+
"content": "<SEP|LLM-jp>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"7": {
|
60 |
+
"content": "<EOD|LLM-jp>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
}
|
67 |
+
},
|
68 |
+
"additional_special_tokens": [
|
69 |
+
"</s|LLM-jp>"
|
70 |
+
],
|
71 |
+
"bos_token": "<s|LLM-jp>",
|
72 |
+
"clean_up_tokenization_spaces": false,
|
73 |
+
"cls_token": "<CLS|LLM-jp>",
|
74 |
+
"eod_token": "<EOD|LLM-jp>",
|
75 |
+
"eos_token": "<EOD|LLM-jp>",
|
76 |
+
"extra_ids": 0,
|
77 |
+
"mask_token": "<mask|LLM-jp>",
|
78 |
+
"model_max_length": 1000000000000000019884624838656,
|
79 |
+
"pad_token": "<pad|LLM-jp>",
|
80 |
+
"sep_token": "<SEP|LLM-jp>",
|
81 |
+
"sp_model_kwargs": {},
|
82 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
83 |
+
"unk_token": "<unk|LLM-jp>"
|
84 |
+
}
|