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Browse files- README.md +63 -0
- added_tokens.json +4 -0
- config.json +26 -0
- mergekit_config.yml +17 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +60 -0
README.md
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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- Nexusflow/Starling-LM-7B-beta
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- cognitivecomputations/dolphin-2.8-mistral-7b-v02
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base_model:
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- Nexusflow/Starling-LM-7B-beta
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- cognitivecomputations/dolphin-2.8-mistral-7b-v02
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---
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# StarlingDolphin-7B-slerp
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StarlingDolphin-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
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* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)
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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: Nexusflow/Starling-LM-7B-beta
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layer_range: [0, 32]
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [0, 32]
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merge_method: slerp
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base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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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 = "allknowingroger/StarlingDolphin-7B-slerp"
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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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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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{
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"_name_or_path": "cognitivecomputations/dolphin-2.8-mistral-7b-v02",
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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": 32000,
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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": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": false,
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"vocab_size": 32002
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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: Nexusflow/Starling-LM-7B-beta
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layer_range: [0, 32]
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [0, 32]
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merge_method: slerp
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base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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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-00008.safetensors
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tokenizer.json
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tokenizer.model
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1 |
+
{
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2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
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5 |
+
"added_tokens_decoder": {
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6 |
+
"0": {
|
7 |
+
"content": "<unk>",
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8 |
+
"lstrip": false,
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9 |
+
"normalized": false,
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10 |
+
"rstrip": false,
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11 |
+
"single_word": false,
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12 |
+
"special": true
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13 |
+
},
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14 |
+
"1": {
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15 |
+
"content": "<s>",
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16 |
+
"lstrip": false,
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17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
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19 |
+
"single_word": false,
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20 |
+
"special": true
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21 |
+
},
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22 |
+
"2": {
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23 |
+
"content": "</s>",
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24 |
+
"lstrip": false,
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25 |
+
"normalized": false,
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26 |
+
"rstrip": false,
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27 |
+
"single_word": false,
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28 |
+
"special": true
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29 |
+
},
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30 |
+
"32000": {
|
31 |
+
"content": "<|im_end|>",
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32 |
+
"lstrip": false,
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33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|im_start|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
}
|
46 |
+
},
|
47 |
+
"bos_token": "<s>",
|
48 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
49 |
+
"clean_up_tokenization_spaces": false,
|
50 |
+
"eos_token": "<|im_end|>",
|
51 |
+
"legacy": true,
|
52 |
+
"model_max_length": 1000000000000000019884624838656,
|
53 |
+
"pad_token": "</s>",
|
54 |
+
"sp_model_kwargs": {},
|
55 |
+
"spaces_between_special_tokens": false,
|
56 |
+
"tokenizer_class": "LlamaTokenizer",
|
57 |
+
"unk_token": "<unk>",
|
58 |
+
"use_default_system_prompt": false,
|
59 |
+
"use_fast": true
|
60 |
+
}
|