giraffe176
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Browse files- README.md +45 -1
- added_tokens.json +4 -0
- config.json +26 -0
- mergekit_config.yml +51 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.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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---
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---
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base_model: []
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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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# unified
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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 SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* /home/giraffe176/mergekit/workspace2
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* /home/giraffe176/mergekit/workspace1
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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: /home/giraffe176/mergekit/workspace1
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layer_range: [0, 32]
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- model: /home/giraffe176/mergekit/workspace2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: /home/giraffe176/mergekit/workspace1
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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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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": "/home/giraffe176/mergekit/workspace1",
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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": 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": "4.37.2",
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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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models:
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- model: cognitivecomputations/samantha-1.1-westlake-7b
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layer_range: [0, 32]
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- model: NeverSleep/Noromaid-7B-0.4-DPO
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layer_range: [0, 32]
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merge_method: slerp
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base_model: NeverSleep/Noromaid-7B-0.4-DPO
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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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name: workspace1
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---
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models:
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- model: teknium/OpenHermes-2.5-Mistral-7B
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layer_range: [0, 32]
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- model: Open-Orca/Mistral-7B-OpenOrca
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layer_range: [0, 32]
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merge_method: slerp
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base_model: teknium/OpenHermes-2.5-Mistral-7B
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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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name: workspace2
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---
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models:
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- model: workspace1
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layer_range: [0, 32]
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- model: workspace2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: workspace1
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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-00002.safetensors
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model.safetensors.index.json
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|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": false
|
44 |
+
}
|
45 |
+
},
|
46 |
+
"additional_special_tokens": [],
|
47 |
+
"bos_token": "<s>",
|
48 |
+
"clean_up_tokenization_spaces": false,
|
49 |
+
"eos_token": "<|im_end|>",
|
50 |
+
"legacy": true,
|
51 |
+
"model_max_length": 1000000000000000019884624838656,
|
52 |
+
"pad_token": "</s>",
|
53 |
+
"sp_model_kwargs": {},
|
54 |
+
"spaces_between_special_tokens": false,
|
55 |
+
"tokenizer_class": "LlamaTokenizer",
|
56 |
+
"trust_remote_code": false,
|
57 |
+
"unk_token": "<unk>",
|
58 |
+
"use_default_system_prompt": false,
|
59 |
+
"use_fast": true
|
60 |
+
}
|