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Browse files- README.md +49 -0
- config.json +27 -0
- mergekit_config.yml +18 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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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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# Nemo-Grand-Gutenburg-bf16-dr
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using G:/11B/Mistral-Nemo-Instruct-2407-12B 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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* G:/11B/Lyra-Gutenberg-mistral-nemo-12B
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* G:/11B/mistral-nemo-gutenberg-12B-v4
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* G:/11B/Lyra4-Gutenberg-12B
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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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#
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# Grand Gutenburg "one step DARK" weights dense.
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#
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models:
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- model: G:/11B/mistral-nemo-gutenberg-12B-v4
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parameters:
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weight: [1,1,1,1,1,1,1,1,1,1,0.7,0.3,0,0,0,0,0,0,0.3,0.7,1,1,1,1,0.7,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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- model: G:/11B/Lyra4-Gutenberg-12B
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parameters:
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weight: [0,0,0,0,0,0,0,0,0,0,0.3,0.7,1,1,0.5,0.5,0.5,0.5,0,0,0,0,0,0,0.7,0.3,1,1,1,1,0.7,0.3,0,0,0,0,0,0,0,0]
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- model: G:/11B/Lyra-Gutenberg-mistral-nemo-12B
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parameters:
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weight: [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0.5,0.5,0.5,0.7,0.3,0,0,0,0,0,0,0,0,0,0,0.3,0.7,1,1,1,1,1,1,1,1]
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merge_method: dare_ties
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base_model: G:/11B/Mistral-Nemo-Instruct-2407-12B
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "G:/11B/Mistral-Nemo-Instruct-2407-12B",
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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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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 1024000,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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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": "4.43.3",
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"use_cache": true,
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"vocab_size": 131072
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}
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mergekit_config.yml
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#
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# Grand Gutenburg "one step DARK" weights dense.
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#
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models:
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- model: G:/11B/mistral-nemo-gutenberg-12B-v4
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parameters:
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weight: [1,1,1,1,1,1,1,1,1,1,0.7,0.3,0,0,0,0,0,0,0.3,0.7,1,1,1,1,0.7,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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- model: G:/11B/Lyra4-Gutenberg-12B
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parameters:
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weight: [0,0,0,0,0,0,0,0,0,0,0.3,0.7,1,1,0.5,0.5,0.5,0.5,0,0,0,0,0,0,0.7,0.3,1,1,1,1,0.7,0.3,0,0,0,0,0,0,0,0]
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- model: G:/11B/Lyra-Gutenberg-mistral-nemo-12B
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parameters:
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weight: [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0.5,0.5,0.5,0.7,0.3,0,0,0,0,0,0,0,0,0,0,0.3,0.7,1,1,1,1,1,1,1,1]
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merge_method: dare_ties
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base_model: G:/11B/Mistral-Nemo-Instruct-2407-12B
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dtype: bfloat16
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model.safetensors.index.json
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},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"unk_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer.json
ADDED
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|
|
tokenizer_config.json
ADDED
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|
|