MarsupialAI
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- config.json +29 -0
- mergekit_config.yml +9 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.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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tags:
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---
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# Skunk Ape 16b
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65a531bc7ec6af0f95c707b1/p9tbuezkb2qvf8kWEnO_2.jpeg)
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This model is a rotating-stack merge of three Solar-based models in a 16b (72 layer) configuration. The result of
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this "frankenmerge" is a medium-sized model that contains what I consider to be the best of the solar finetunes.
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Mergefuel:
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- Sao10K/Fimbulvetr-11B-v2
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- Sao10K/Solstice-11B-v1
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- TheDrummer/Moistral-11B-v1
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This model is uncensored and capable of generating objectionable material. However, it is not an explicitely-NSFW model,
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and it has never "gone rogue" and tried to insert NSFW content into SFW prompts in my experience. As with any LLM, no
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factual claims made by the model should be taken at face value. You know that boilerplate safety disclaimer that most
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professional models have? Assume this has it too. This model is for entertainment purposes only.
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iMatrix GGUFs:
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{{[INPUT]}}
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Write a detailed and humorous story about a cute and fluffy bunny that goes to a Gwar concert.
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{{[OUTPUT]}}
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The sun was shining brightly on a warm summer afternoon, and all across the city the sound of joyful chirping birds echoed through the air. A young rabbit hopped out from his burrow to join the many creatures who lived in the woods in their usual fun-filled day. The rabbit was very excited; he was going to the big city today to see one of his favourite bands in the entire world perform live – Gwar! It wasn't every day he got to experience the heavy metal brutality and over-the-top spectacle that the alien reptile beasts brought to their shows. He put on a t-shirt announcing his love for them, grabbed his camera and headed off down the path from the safety of the woods towards the concrete jungle where the gig was going to happen.
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The
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```
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# Prompt format
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Prefers alpaca.
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# WTF is a rotating-stack merge?
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Inspired by Undi's experiments with stacked merges, Jeb Carter found that output quality and model initiative could be significantly
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improved by reversing the model order in the stack, and then doing a linear merge between the original and reversed stacks. That is
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what I did here. I created three passthrough stacked merges using the three source models (rotating the model order in each stack),
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and then doing a linear merge of all three stacks. The exact merge configs can be found in the recipe.txt file.
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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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# skunkape
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* e:\mergeA
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* e:\mergeB
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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: e:\mergeA
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parameters:
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weight: 1.0
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- model: e:\mergeB
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parameters:
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weight: 1.0
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merge_method: linear
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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": "e:\\mergeA",
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 72,
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"num_key_value_heads": 8,
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"pad_token_id": 2,
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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": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.36.2",
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"use_cache": false,
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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: e:\mergeA
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parameters:
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weight: 1.0
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- model: e:\mergeB
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parameters:
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weight: 1.0
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merge_method: linear
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dtype: float16
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model-00001-of-00004.safetensors
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special_tokens_map.json
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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version https://git-lfs.github.com/spec/v1
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size 493443
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tokenizer_config.json
ADDED
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