Joseph717171
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Browse files- config.json +26 -0
- mergekit_config.yml +40 -0
- model-00001-of-00007.safetensors +3 -0
- model-00002-of-00007.safetensors +3 -0
- model-00003-of-00007.safetensors +3 -0
- model-00004-of-00007.safetensors +3 -0
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
config.json
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{
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"_name_or_path": "/Users/jsarnecki/opt/Workspace/AetherResearch/Cerebrum-1.0-7b",
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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": 56,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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dtype: bfloat16
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merge_method: passthrough
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# Layer-Interleaving of AetherResearch/Cerebrum-1.0-7b
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# where n = 32 (The number of layers the model originally had)
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# m = 8 (The number of layers to interleave per row)
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# M = 24 = 3m (The number of layers interleaved into the model)
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# s = 56 = 32 + 24 = n + M (The number of layers the model will have after the layer interleaving)
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# P = 12.25B parameters = (s/n)*7 (The number of parameters the model will have after the layer interleaving)
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slices:
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- sources:
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- layer_range: [0, 8]
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model: /Users/jsarnecki/opt/Workspace/AetherResearch/Cerebrum-1.0-7b
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# Interleaved Layer
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- sources:
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- layer_range: [4, 12]
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model: /Users/jsarnecki/opt/Workspace/AetherResearch/Cerebrum-1.0-7b
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- sources:
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- layer_range: [8, 16]
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model: /Users/jsarnecki/opt/Workspace/AetherResearch/Cerebrum-1.0-7b
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# Interleaved Layer
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- sources:
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- layer_range: [12, 20]
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model: /Users/jsarnecki/opt/Workspace/AetherResearch/Cerebrum-1.0-7b
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- sources:
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- layer_range: [16, 24]
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model: /Users/jsarnecki/opt/Workspace/AetherResearch/Cerebrum-1.0-7b
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# Interleaved Layer
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- sources:
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- layer_range: [20, 28]
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model: /Users/jsarnecki/opt/Workspace/AetherResearch/Cerebrum-1.0-7b
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- sources:
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- layer_range: [24, 32]
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model: /Users/jsarnecki/opt/Workspace/AetherResearch/Cerebrum-1.0-7b
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model-00001-of-00007.safetensors
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special_tokens_map.json
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{
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2 |
+
"bos_token": {
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"content": "<s>",
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4 |
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"lstrip": false,
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5 |
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"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
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"lstrip": false,
|
12 |
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
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},
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"unk_token": {
|
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"content": "<unk>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
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}
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+
}
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tokenizer.json
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tokenizer.model
ADDED
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+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
ADDED
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+
{
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2 |
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"add_bos_token": true,
|
3 |
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"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
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"0": {
|
6 |
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"content": "<unk>",
|
7 |
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"lstrip": false,
|
8 |
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"normalized": false,
|
9 |
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"rstrip": false,
|
10 |
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"single_word": false,
|
11 |
+
"special": true
|
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+
},
|
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"1": {
|
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"content": "<s>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
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},
|
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"2": {
|
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"content": "</s>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
28 |
+
}
|
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+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'A chat between a user and a thinking artificial intelligence assistant. The assistant describes its thought process and gives helpful and detailed answers to the user\\'s questions.' %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{% set content = 'User: ' + message['content'].strip() + '\\n' %}{% elif message['role'] == 'system' %}{% set content = message['content'].strip() + '\\n' %}{% elif message['role'] == 'assistant' %}{% set content = 'AI: ' + message['content'].strip() + '\\n' %}{% endif %}{% if loop.index0 == 0 %}{{ bos_token + system_message + '\\n' + content }}{% else %}{{ content | replace(eos_token, '') }}{% endif %}{% if loop.last and add_generation_prompt %}{{ 'AI:' }}{% endif %}{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
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"eos_token": "</s>",
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"legacy": true,
|
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"model_max_length": 1000000000000000019884624838656,
|
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"pad_token": null,
|
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
|
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"tokenizer_class": "LlamaTokenizer",
|
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"unk_token": "<unk>",
|
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"use_default_system_prompt": false
|
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+
}
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