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Browse files- .gitattributes +1 -0
- README.md +40 -3
- SmolLM2-360M-Merged-Q8_0.gguf +3 -0
- config.json +32 -0
- mergekit_config.yml +10 -0
- merges.txt +0 -0
- model-00001-of-00001.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +42 -0
- tokenizer.json +0 -0
- tokenizer_config.json +168 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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SmolLM2-360M-Merged-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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---
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base_model:
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- HuggingFaceTB/SmolLM2-360M
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- HuggingFaceTB/SmolLM2-360M-Instruct
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# SmolLM2-360M-Merged
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [HuggingFaceTB/SmolLM2-360M](https://huggingface.co/HuggingFaceTB/SmolLM2-360M) as a base.
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### Models Merged
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The following models were included in the merge:
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* [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: HuggingFaceTB/SmolLM2-360M-Instruct
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parameters:
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weight: 1
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merge_method: ties
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base_model: HuggingFaceTB/SmolLM2-360M
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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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SmolLM2-360M-Merged-Q8_0.gguf
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config.json
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{
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"_name_or_path": "HuggingFaceTB/SmolLM2-360M",
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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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"bos_token_id": 0,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 960,
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"initializer_range": 0.02,
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"intermediate_size": 2560,
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"is_llama_config": true,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 15,
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"num_hidden_layers": 32,
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"num_key_value_heads": 5,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_interleaved": false,
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"rope_scaling": null,
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"rope_theta": 100000,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.0",
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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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models:
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- model: HuggingFaceTB/SmolLM2-360M-Instruct
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parameters:
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weight: 1
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merge_method: ties
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base_model: HuggingFaceTB/SmolLM2-360M
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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-00001.safetensors
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model.safetensors.index.json
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"10": {
|
85 |
+
"content": "<issue_closed>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"11": {
|
93 |
+
"content": "<jupyter_start>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"12": {
|
101 |
+
"content": "<jupyter_text>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"13": {
|
109 |
+
"content": "<jupyter_code>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
},
|
116 |
+
"14": {
|
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 |
+
"<|endoftext|>",
|
143 |
+
"<|im_start|>",
|
144 |
+
"<|im_end|>",
|
145 |
+
"<repo_name>",
|
146 |
+
"<reponame>",
|
147 |
+
"<file_sep>",
|
148 |
+
"<filename>",
|
149 |
+
"<gh_stars>",
|
150 |
+
"<issue_start>",
|
151 |
+
"<issue_comment>",
|
152 |
+
"<issue_closed>",
|
153 |
+
"<jupyter_start>",
|
154 |
+
"<jupyter_text>",
|
155 |
+
"<jupyter_code>",
|
156 |
+
"<jupyter_output>",
|
157 |
+
"<jupyter_script>",
|
158 |
+
"<empty_output>"
|
159 |
+
],
|
160 |
+
"bos_token": "<|endoftext|>",
|
161 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
162 |
+
"clean_up_tokenization_spaces": false,
|
163 |
+
"eos_token": "<|endoftext|>",
|
164 |
+
"model_max_length": 8192,
|
165 |
+
"tokenizer_class": "GPT2Tokenizer",
|
166 |
+
"unk_token": "<|endoftext|>",
|
167 |
+
"vocab_size": 49152
|
168 |
+
}
|
vocab.json
ADDED
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|