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Browse files- README.md +68 -0
- config.json +30 -0
- mergekit_config.yml +22 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +34 -0
- tokenizer.json +0 -0
- tokenizer_config.json +154 -0
- vocab.json +0 -0
README.md
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---
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base_model:
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- HuggingFaceTB/SmolLM-1.7B-Instruct
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- HuggingFaceTB/SmolLM-1.7B
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tags:
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- merge
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- mergekit
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- lazymergekit
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- HuggingFaceTB/SmolLM-1.7B-Instruct
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- HuggingFaceTB/SmolLM-1.7B
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---
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# smollm-dareties
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smollm-dareties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [HuggingFaceTB/SmolLM-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-1.7B-Instruct)
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* [HuggingFaceTB/SmolLM-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM-1.7B)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- layer_range: [0, 24]
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model: HuggingFaceTB/SmolLM-1.7B-Instruct
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parameters:
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density: [1, 0.7, 0.1]
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weight: 1.0
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- layer_range: [0, 24]
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model: HuggingFaceTB/SmolLM-1.7B
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parameters:
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density: 0.33
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weight:
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- filter: mlp
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value: 0.5
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- value: 0
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merge_method: dare_ties
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base_model: HuggingFaceTB/SmolLM-1.7B-Instruct
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parameters:
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normalize: true
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int8_mask: true
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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/smollm-dareties"
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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": "HuggingFaceTB/SmolLM-1.7B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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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": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 24,
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"num_key_value_heads": 32,
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.4",
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"use_cache": true,
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"vocab_size": 49152
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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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- layer_range: [0, 24]
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model: HuggingFaceTB/SmolLM-1.7B-Instruct
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parameters:
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density: [1, 0.7, 0.1]
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weight: 1.0
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- layer_range: [0, 24]
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model: HuggingFaceTB/SmolLM-1.7B
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parameters:
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density: 0.33
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weight:
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- filter: mlp
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value: 0.5
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- value: 0
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merge_method: dare_ties
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base_model: HuggingFaceTB/SmolLM-1.7B-Instruct
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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merges.txt
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model-00001-of-00004.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
ADDED
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tokenizer_config.json
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117 |
+
"content": "<jupyter_output>",
|
118 |
+
"lstrip": false,
|
119 |
+
"normalized": false,
|
120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": true
|
123 |
+
},
|
124 |
+
"15": {
|
125 |
+
"content": "<jupyter_script>",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": true
|
131 |
+
},
|
132 |
+
"16": {
|
133 |
+
"content": "<empty_output>",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": true
|
139 |
+
}
|
140 |
+
},
|
141 |
+
"additional_special_tokens": [
|
142 |
+
"<|im_start|>",
|
143 |
+
"<|im_end|>"
|
144 |
+
],
|
145 |
+
"bos_token": "<|im_start|>",
|
146 |
+
"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 %}",
|
147 |
+
"clean_up_tokenization_spaces": false,
|
148 |
+
"eos_token": "<|im_end|>",
|
149 |
+
"model_max_length": 2048,
|
150 |
+
"pad_token": "<|im_end|>",
|
151 |
+
"tokenizer_class": "GPT2Tokenizer",
|
152 |
+
"unk_token": "<|endoftext|>",
|
153 |
+
"vocab_size": 49152
|
154 |
+
}
|
vocab.json
ADDED
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|