brucethemoose
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Browse files- README.md +78 -0
- config.json +29 -0
- mergekit_config.yml +37 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00005.safetensors +3 -0
- output-00002-of-00005.safetensors +3 -0
- output-00003-of-00005.safetensors +3 -0
- output-00004-of-00005.safetensors +3 -0
- output-00005-of-00005.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +59 -0
README.md
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---
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license: other
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license_name: yi-license
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license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
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language:
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- en
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library_name: transformers
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base_model: []
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tags:
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- mergekit
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- merge
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- Yi
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- exllama
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- exllamav2
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- exl2
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---
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# RPmerge
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See the main model card: https://huggingface.co/brucethemoose/Yi-34B-200K-RPMerge
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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 /home/alpha/Models/Raw/chargoddard_Yi-34B-200K-Llama 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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* /home/alpha/Models/Raw/migtissera_Tess-34B-v1.5b
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* /home/alpha/Models/Raw/migtissera_Tess-M-Creative-v1.0
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* /home/alpha/Models/Raw/cgato_Thespis-34b-DPO-v0.7
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* /home/alpha/Models/Raw/Nous-Capybara-34B
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* /home/alpha/Models/Raw/admo_limarp
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* /home/alpha/Models/Raw/DrNicefellow_ChatAllInOne-Yi-34B-200K-V1
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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/alpha/Models/Raw/chargoddard_Yi-34B-200K-Llama
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# No parameters necessary for base model
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- model: /home/alpha/Models/Raw/migtissera_Tess-34B-v1.5b
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#Emphasize the beginning of Vicuna format models
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parameters:
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weight: 0.19
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density: 0.59
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- model: /home/alpha/Models/Raw/Nous-Capybara-34B
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parameters:
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weight: 0.19
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density: 0.55
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# Vicuna format
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- model: /home/alpha/Models/Raw/migtissera_Tess-M-Creative-v1.0
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parameters:
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weight: 0.05
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density: 0.55
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- model: /home/alpha/Models/Raw/DrNicefellow_ChatAllInOne-Yi-34B-200K-V1
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parameters:
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weight: 0.19
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density: 0.55
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- model: /home/alpha/Models/Raw/admo_limarp
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parameters:
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weight: 0.19
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density: 0.48
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- model: /home/alpha/Models/Raw/cgato_Thespis-34b-DPO-v0.7
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parameters:
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weight: 0.19
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density: 0.59
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merge_method: dare_ties
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tokenizer_source: union
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base_model: /home/alpha/Models/Raw/chargoddard_Yi-34B-200K-Llama
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parameters:
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int8_mask: true
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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": "/home/alpha/Models/Raw/chargoddard_Yi-34B-200K-Llama",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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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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"hidden_act": "silu",
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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 200000,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 60,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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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": true,
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"vocab_size": 64002
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}
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mergekit_config.yml
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models:
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- model: /home/alpha/Models/Raw/chargoddard_Yi-34B-200K-Llama
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# No parameters necessary for base model
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- model: /home/alpha/Models/Raw/migtissera_Tess-34B-v1.5b
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#Emphasize the beginning of Vicuna format models
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parameters:
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weight: 0.19
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density: 0.59
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- model: /home/alpha/Models/Raw/Nous-Capybara-34B
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parameters:
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weight: 0.19
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density: 0.55
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# Vicuna format
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- model: /home/alpha/Models/Raw/migtissera_Tess-M-Creative-v1.0
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parameters:
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weight: 0.05
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density: 0.55
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- model: /home/alpha/Models/Raw/DrNicefellow_ChatAllInOne-Yi-34B-200K-V1
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parameters:
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weight: 0.19
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density: 0.55
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- model: /home/alpha/Models/Raw/admo_limarp
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parameters:
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weight: 0.19
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density: 0.48
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- model: /home/alpha/Models/Raw/cgato_Thespis-34b-DPO-v0.7
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parameters:
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weight: 0.19
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density: 0.59
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merge_method: dare_ties
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tokenizer_source: union
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base_model: /home/alpha/Models/Raw/chargoddard_Yi-34B-200K-Llama
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parameters:
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int8_mask: true
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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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