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Browse files- README.md +62 -0
- config.json +30 -0
- mergekit_config.yml +27 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.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 +43 -0
README.md
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---
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base_model:
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- LeroyDyer/LCARS_AI_StarTrek_Computer
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- LeroyDyer/LCARS_TOP_SCORE
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- LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
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- LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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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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# merge
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT](https://huggingface.co/LeroyDyer/SpydazWeb_AI_HumanAI_011_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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* [LeroyDyer/LCARS_AI_StarTrek_Computer](https://huggingface.co/LeroyDyer/LCARS_AI_StarTrek_Computer)
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* [LeroyDyer/LCARS_TOP_SCORE](https://huggingface.co/LeroyDyer/LCARS_TOP_SCORE)
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* [LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b](https://huggingface.co/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b)
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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: LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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parameters:
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density: 0.256
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weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
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- model: LeroyDyer/LCARS_AI_StarTrek_Computer
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parameters:
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density: 0.256
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weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
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- model: LeroyDyer/LCARS_TOP_SCORE
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parameters:
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density: 0.512
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weight: [0.768, 0.768, 0.128, 0.512] # weight gradient
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- model: LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
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parameters:
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density: 0.256
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weight:
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- filter: mlp
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value: 0.768
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- value: 0.512
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merge_method: ties
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base_model: LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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```
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config.json
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{
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"_name_or_path": "LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_MT",
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 524288,
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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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"pad_token_id": 0,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 75000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.46.2",
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"unsloth_version": "2024.11.9",
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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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models:
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- model: LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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parameters:
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density: 0.256
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weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
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- model: LeroyDyer/LCARS_AI_StarTrek_Computer
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parameters:
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density: 0.256
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weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
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- model: LeroyDyer/LCARS_TOP_SCORE
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parameters:
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density: 0.512
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weight: [0.768, 0.768, 0.128, 0.512] # weight gradient
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- model: LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
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parameters:
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density: 0.256
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weight:
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- filter: mlp
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value: 0.768
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- value: 0.512
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merge_method: ties
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base_model: LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|