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Browse files- README.md +48 -0
- config.json +27 -0
- mergekit_config.yml +19 -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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# MN-Three-RCM-Instruct1-2c
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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 E:/MN-Rocinante-12B-v1.1-Instruct 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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* E:/MN-12B-Celeste-V1.9-Instruct
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* E:/MN-magnum-v2.5-12b-kto-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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# Config 1
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# E:/MN-Rocinante-12B-v1.1-Instruct
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# E:/MN-12B-Celeste-V1.9-Instruct
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# E:/MN-magnum-v2.5-12b-kto-Instruct
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models:
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- model: E:/MN-Rocinante-12B-v1.1-Instruct
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- model: E:/MN-magnum-v2.5-12b-kto-Instruct
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parameters:
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weight: .6
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density: .8
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- model: E:/MN-12B-Celeste-V1.9-Instruct
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parameters:
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weight: .38
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density: .6
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merge_method: dare_ties
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tokenizer_source: union
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base_model: E:/MN-Rocinante-12B-v1.1-Instruct
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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": "E:/MN-Rocinante-12B-v1.1-Instruct",
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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": 63,
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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": 131074
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}
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mergekit_config.yml
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# Config 1
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# E:/MN-Rocinante-12B-v1.1-Instruct
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# E:/MN-12B-Celeste-V1.9-Instruct
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# E:/MN-magnum-v2.5-12b-kto-Instruct
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models:
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- model: E:/MN-Rocinante-12B-v1.1-Instruct
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- model: E:/MN-magnum-v2.5-12b-kto-Instruct
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parameters:
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weight: .6
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density: .8
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- model: E:/MN-12B-Celeste-V1.9-Instruct
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parameters:
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weight: .38
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density: .6
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merge_method: dare_ties
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tokenizer_source: union
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base_model: E:/MN-Rocinante-12B-v1.1-Instruct
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dtype: bfloat16
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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