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Browse files- README.md +53 -0
- config.json +27 -0
- mergekit_config.yml +20 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -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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- Epiculous/Crimson_Dawn-V0.1
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- nbeerbower/mistral-nemo-gutenberg-12B-v3
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- Nohobby/YetAnotherMerge-v0.3
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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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# YetAnotherMerge-v0.7a
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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 della merge method using [Nohobby/YetAnotherMerge-v0.3](https://huggingface.co/Nohobby/YetAnotherMerge-v0.3) 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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* [Epiculous/Crimson_Dawn-V0.1](https://huggingface.co/Epiculous/Crimson_Dawn-V0.1)
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* [nbeerbower/mistral-nemo-gutenberg-12B-v3](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v3)
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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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base_model: Nohobby/YetAnotherMerge-v0.3
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parameters:
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int8_mask: true
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rescale: true
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normalize: false
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merge_method: della
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dtype: bfloat16
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models:
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- model: nbeerbower/mistral-nemo-gutenberg-12B-v3
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parameters:
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density: [0.4, 0.5, 0.6, 0.4, 0.6, 0.5, 0.4]
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epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
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lambda: 0.85
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weight: [0.6, 0.5, 0.4, 0.6, 0.4, 0.5, 0.6]
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- model: Epiculous/Crimson_Dawn-V0.1
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parameters:
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density: [0.45, 0.55, 0.45, 0.55, 0.45]
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epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
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lambda: 0.85
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weight: [0.55, 0.45, 0.55, 0.45, 0.55]
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```
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config.json
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{
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"_name_or_path": "Nohobby/YetAnotherMerge-v0.3",
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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": "4.44.0",
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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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base_model: Nohobby/YetAnotherMerge-v0.3
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parameters:
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int8_mask: true
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rescale: true
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normalize: false
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merge_method: della
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dtype: bfloat16
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models:
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- model: nbeerbower/mistral-nemo-gutenberg-12B-v3
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parameters:
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density: [0.4, 0.5, 0.6, 0.4, 0.6, 0.5, 0.4]
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epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
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lambda: 0.85
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weight: [0.6, 0.5, 0.4, 0.6, 0.4, 0.5, 0.6]
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- model: Epiculous/Crimson_Dawn-V0.1
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parameters:
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density: [0.45, 0.55, 0.45, 0.55, 0.45]
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epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
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lambda: 0.85
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weight: [0.55, 0.45, 0.55, 0.45, 0.55]
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model-00001-of-00005.safetensors
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special_tokens_map.json
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{
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"bos_token": {
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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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},
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"eos_token": {
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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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},
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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_config.json
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