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Browse files- RP-Stew-v2.5-34B/README.md +53 -0
- RP-Stew-v2.5-34B/config.json +29 -0
- RP-Stew-v2.5-34B/mergekit_config.yml +22 -0
- RP-Stew-v2.5-34B/model-00001-of-00007.safetensors +3 -0
- RP-Stew-v2.5-34B/model-00002-of-00007.safetensors +3 -0
- RP-Stew-v2.5-34B/model-00003-of-00007.safetensors +3 -0
- RP-Stew-v2.5-34B/model-00004-of-00007.safetensors +3 -0
- RP-Stew-v2.5-34B/model-00005-of-00007.safetensors +3 -0
- RP-Stew-v2.5-34B/model-00006-of-00007.safetensors +3 -0
- RP-Stew-v2.5-34B/model-00007-of-00007.safetensors +3 -0
- RP-Stew-v2.5-34B/model.safetensors.index.json +1 -0
- RP-Stew-v2.5-34B/tokenizer.json +0 -0
- RP-Stew-v2.5-34B/tokenizer.model +3 -0
- RP-Stew-v2.5-34B/tokenizer_config.json +44 -0
RP-Stew-v2.5-34B/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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# RP-Stew-34B
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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 F:\Merge\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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* F:\Merge\ParasiticRogue_Nontoxic-PiVoT-Bagel-RP-34b
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* F:\Merge\ParasiticRogue_Nyakura-CausalLM-RP-34B
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* F:\Merge\migtissera_Tess-34B-v1.5b
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* F:\Merge\brucethemoose_Capybara-Fixed-Temp
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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: F:\Merge\ParasiticRogue_Nontoxic-PiVoT-Bagel-RP-34b
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parameters:
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weight: 0.16
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density: 0.42
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- model: F:\Merge\ParasiticRogue_Nyakura-CausalLM-RP-34B
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parameters:
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weight: 0.22
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density: 0.54
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- model: F:\Merge\migtissera_Tess-34B-v1.5b
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parameters:
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weight: 0.28
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density: 0.66
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- model: F:\Merge\brucethemoose_Capybara-Fixed-Temp
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parameters:
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weight: 0.34
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density: 0.78
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merge_method: dare_ties
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base_model: F:\Merge\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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RP-Stew-v2.5-34B/config.json
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{
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"_name_or_path": "F:\\Merge\\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": "4.40.1",
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"use_cache": true,
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"vocab_size": 64000
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}
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RP-Stew-v2.5-34B/mergekit_config.yml
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models:
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- model: F:\Merge\ParasiticRogue_Nontoxic-PiVoT-Bagel-RP-34b
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parameters:
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weight: 0.16
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density: 0.42
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- model: F:\Merge\ParasiticRogue_Nyakura-CausalLM-RP-34B
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parameters:
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weight: 0.22
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density: 0.54
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- model: F:\Merge\migtissera_Tess-34B-v1.5b
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parameters:
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weight: 0.28
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density: 0.66
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- model: F:\Merge\brucethemoose_Capybara-Fixed-Temp
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parameters:
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weight: 0.34
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density: 0.78
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merge_method: dare_ties
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base_model: F:\Merge\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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