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README.md

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+---
+base_model:
+- tarotscientist/llama-2-7b-tarotreader
+- Nitral-Archive/HerculeanSea-7b-128k
+- Norquinal/Mistral-7B-storywriter
+- teknium/llama-deus-7b-v3-lora-merged
+- Undi95/BigL-7B
+- Undi95/MistRP-Dolphin-7B
+- Undi95/Toppy-M-7B
+- NousResearch/Yarn-Mistral-7b-128k
+- Undi95/Mistral-ClaudeLimaRP-v3-7B
+- teknium/Mistral-Trismegistus-7B
+- alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic
+- CallComply/zephyr-7b-beta-128k
+- teknium/Hermes-Trismegistus-Mistral-7B
+- Undi95/LewdMistral-7B-0.2
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [tarotscientist/llama-2-7b-tarotreader](https://huggingface.co/tarotscientist/llama-2-7b-tarotreader)
+* [Nitral-Archive/HerculeanSea-7b-128k](https://huggingface.co/Nitral-Archive/HerculeanSea-7b-128k)
+* [Norquinal/Mistral-7B-storywriter](https://huggingface.co/Norquinal/Mistral-7B-storywriter)
+* [teknium/llama-deus-7b-v3-lora-merged](https://huggingface.co/teknium/llama-deus-7b-v3-lora-merged)
+* [Undi95/BigL-7B](https://huggingface.co/Undi95/BigL-7B)
+* [Undi95/MistRP-Dolphin-7B](https://huggingface.co/Undi95/MistRP-Dolphin-7B)
+* [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B)
+* [Undi95/Mistral-ClaudeLimaRP-v3-7B](https://huggingface.co/Undi95/Mistral-ClaudeLimaRP-v3-7B)
+* [teknium/Mistral-Trismegistus-7B](https://huggingface.co/teknium/Mistral-Trismegistus-7B)
+* [alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic](https://huggingface.co/alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic)
+* [CallComply/zephyr-7b-beta-128k](https://huggingface.co/CallComply/zephyr-7b-beta-128k)
+* [teknium/Hermes-Trismegistus-Mistral-7B](https://huggingface.co/teknium/Hermes-Trismegistus-Mistral-7B)
+* [Undi95/LewdMistral-7B-0.2](https://huggingface.co/Undi95/LewdMistral-7B-0.2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+### This the config.yml for ABC_Books/test001 ###
+ models:
+
+  ### Models that contribute a large 128K context window ###
+  - model: CallComply/zephyr-7b-beta-128k
+    parameters:
+      weight: 0.1154
+      density: 0.9
+  - model: Nitral-Archive/HerculeanSea-7b-128k
+    parameters:
+      weight: 0.1154
+      density: 0.9
+  - model: NousResearch/Yarn-Mistral-7b-128k
+    parameters:
+      weight: 0.1154
+      density: 0.9
+
+  ### Models with finetune training on occult knownledge ###
+  - model: teknium/llama-deus-7b-v3-lora-merged
+    parameters:
+      weight: 0.0769
+      density: 0.9
+  - model: teknium/Hermes-Trismegistus-Mistral-7B
+    parameters:
+      weight: 0.0769
+      density: 0.9
+  - model: alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic
+    parameters:
+      weight: 0.0769
+      density: 0.9
+  - model: tarotscientist/llama-2-7b-tarotreader
+    parameters:
+      weight: 0.0769
+      density: 0.9
+  - model: teknium/Mistral-Trismegistus-7B
+    parameters:
+      weight: 0.0769
+      density: 0.9
+
+  ### Talkative model with a large context window ###
+  - model: Norquinal/Mistral-7B-storywriter
+    parameters:
+      weight: 0.0769
+      density: 0.9
+
+  ### Models with finetune training to be uncensored use some crass diction ###
+  - model: Undi95/BigL-7B
+    parameters:
+      weight: 0.0384
+      density: 0.9
+  - model: Undi95/LewdMistral-7B-0.2
+    parameters:
+      weight: 0.0385
+      density: 0.9
+  - model: Undi95/MistRP-Dolphin-7B
+    parameters:
+      weight: 0.0385
+      density: 0.9
+  - model: Undi95/Mistral-ClaudeLimaRP-v3-7B
+    parameters:
+      weight: 0.0385
+      density: 0.9
+  - model: Undi95/Toppy-M-7B
+    parameters:
+      weight: 0.0385
+      density: 0.9
+
+  ### The use of DARES has been shown to “Densify” standard model lending to a more robust model when paired with a high “density:” numbers ###
+ merge_method: dare_ties
+
+  ### This model best exemplifies the closest match to all of the features needed in the final model ###
+ base_model: NousResearch/Yarn-Mistral-7b-128k
+ parameters:
+
+  ### When “densifing” models the model size tends to grow without normalize
+  normalize: true
+  int8_mask: true
+ dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "NousResearch/Yarn-Mistral-7b-128k",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "NousResearch/Yarn-Mistral-7b-128k--configuration_mistral.MistralConfig",
+    "AutoModelForCausalLM": "NousResearch/Yarn-Mistral-7b-128k--modeling_mistral_yarn.MistralForCausalLM"
+  },
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "max_sequence_length": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 16.0,
+    "finetuned": true,
+    "original_max_position_embeddings": 8192,
+    "type": "yarn"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 131072,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.44.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+### This the config.yml for ABC_Books/test001 ###
+ models:
+
+  ### Models that contribute a large 128K context window ###
+  - model: CallComply/zephyr-7b-beta-128k
+    parameters:
+      weight: 0.1154
+      density: 0.9
+  - model: Nitral-Archive/HerculeanSea-7b-128k
+    parameters:
+      weight: 0.1154
+      density: 0.9
+  - model: NousResearch/Yarn-Mistral-7b-128k
+    parameters:
+      weight: 0.1154
+      density: 0.9
+
+  ### Models with finetune training on occult knownledge ###
+  - model: teknium/llama-deus-7b-v3-lora-merged
+    parameters:
+      weight: 0.0769
+      density: 0.9
+  - model: teknium/Hermes-Trismegistus-Mistral-7B
+    parameters:
+      weight: 0.0769
+      density: 0.9
+  - model: alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic
+    parameters:
+      weight: 0.0769
+      density: 0.9
+  - model: tarotscientist/llama-2-7b-tarotreader
+    parameters:
+      weight: 0.0769
+      density: 0.9
+  - model: teknium/Mistral-Trismegistus-7B
+    parameters:
+      weight: 0.0769
+      density: 0.9
+
+  ### Talkative model with a large context window ###
+  - model: Norquinal/Mistral-7B-storywriter
+    parameters:
+      weight: 0.0769
+      density: 0.9
+
+  ### Models with finetune training to be uncensored use some crass diction ###
+  - model: Undi95/BigL-7B
+    parameters:
+      weight: 0.0384
+      density: 0.9
+  - model: Undi95/LewdMistral-7B-0.2
+    parameters:
+      weight: 0.0385
+      density: 0.9
+  - model: Undi95/MistRP-Dolphin-7B
+    parameters:
+      weight: 0.0385
+      density: 0.9
+  - model: Undi95/Mistral-ClaudeLimaRP-v3-7B
+    parameters:
+      weight: 0.0385
+      density: 0.9
+  - model: Undi95/Toppy-M-7B
+    parameters:
+      weight: 0.0385
+      density: 0.9
+
+  ### The use of DARES has been shown to “Densify” standard model lending to a more robust model when paired with a high “density:” numbers ###
+ merge_method: dare_ties
+
+  ### This model best exemplifies the closest match to all of the features needed in the final model ###
+ base_model: NousResearch/Yarn-Mistral-7b-128k
+ parameters:
+
+  ### When “densifing” models the model size tends to grow without normalize
+  normalize: true
+  int8_mask: true
+ dtype: float16

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