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Model: Nekochu/Confluence-Renegade-7B
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: apache-2.0
+base_model:
+- localfultonextractor/Erosumika-7B
+- Nitral-AI/Infinitely-Laydiculous-7B
+- Kunocchini-7b-128k-test
+- Endevor/EndlessRP-v3-7B
+- ChaoticNeutrals/BuRP_7B
+- daybreak-kunoichi-2dpo-7b
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+
+My first merge of RP models 7B using mergekit, They are just r/ trend RP, half is BuRP_7B. not used any, **Dumb** merge but hopfully lucky merge! ^^'  
+
+## Update 03/2024:
+
+- Original model Card Confluence-Renegade-7B <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/Confluence-Renegade-7B-v2-8.0bpw-h8-exl2">[8.0bpw-exl]</a> 
+- Added Model and merge recipe branch: <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/Confluence-Renegade-7B-v2/mergekit_config.yml">Confluence-Renegade-7B-v2</a> 
+- Added Model and merge recipe branch: <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/RoleBeagle-Moistral-11B-v2/mergekit_config.yml">RoleBeagle-Moistral-11B-v2</a> <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/RoleBeagle-Moistral-7B-v2/mergekit_config.yml">[7B truncated]</a> and Quants <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/RoleBeagle-Moistral-11B-v2-2.4bpw-h6-exl2/mergekit_config.yml">RoleBeagle-Moistral-11B-v2-2.4bpw-h6-exl2</a>, <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/RoleBeagle-Moistral-11B-v2-4.25bpw-h6-exl2">4.25bpw-h6</a>, <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/RoleBeagle-Moistral-11B-v2-8.0bpw-h8-exl2">8.0bpw-h8</a>
+- Added Branch: <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/Confluence-Shortcake-20B/mergekit_config.yml"> Confluence-Shortcake-20B Model recipes</a> and Quants here <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/Confluence-Shortcake-20B-2.4bpw-h6-exl2">Confluence-Shortcake-20B-2.4bpw-h6-exl2</a>, <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/Confluence-Shortcake-20B-4.25bpw-h6-exl2">4.25bpw-h6</a>, <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/Confluence-Shortcake-20B-8.0bpw-h8-exl2">8.0bpw-h8</a>
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+    <img src="https://i.imgur.com/d38LuOG.png" alt="Nekochu" style="width: 250%; min-width: 400px; display: block; margin: auto;">
+</div>
+
+Name symbolize by *Confluence* for many unique RP model with *Renegade* mostly come from no-guardrail.
+
+## Download branch instructions
+
+```shell
+git clone --single-branch --branch Confluence-Shortcake-20B-2.4bpw-h6-exl2 https://huggingface.co/Nekochu/Confluence-Renegade-7B
+```
+
+### Configuration Confluence-Renegade-7B
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: ./modela/Erosumika-7B
+    parameters:
+      density: [1, 0.8, 0.6]
+      weight: 0.2
+  - model: ./modela/Infinitely-Laydiculous-7B
+    parameters:
+      density: [0.9, 0.7, 0.5]
+      weight: 0.2
+  - model: ./modela/Kunocchini-7b-128k-test
+    parameters:
+      density: [0.8, 0.6, 0.4]
+      weight: 0.2
+  - model: ./modela/EndlessRP-v3-7B
+    parameters:
+      density: [0.7, 0.5, 0.3]
+      weight: 0.2
+  - model: ./modela/daybreak-kunoichi-2dpo-7b
+    parameters:
+      density: [0.5, 0.3, 0.1]
+      weight: 0.2
+merge_method: dare_linear
+base_model: ./modela/Mistral-7B-v0.1
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+name: intermediate-model
+---
+slices:
+  - sources:
+      - model: intermediate-model
+        layer_range: [0, 32]
+      - model: ./modela/BuRP_7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: intermediate-model
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: bfloat16
+name: gradient-slerp
+```
+
+```mergekit-mega config.yml ./output-model-directory --cuda --allow-crimes --lazy-unpickle```
+
+### Models Merged Confluence-Renegade-7B
+
+The following models were included in the merge:
+- [localfultonextractor/Erosumika-7B](https://huggingface.co/localfultonextractor/Erosumika-7B)
+- [Nitral-AI/Infinitely-Laydiculous-7B](https://huggingface.co/Nitral-AI/Infinitely-Laydiculous-7B)
+- [Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test)
+- [Endevor/EndlessRP-v3-7B](https://huggingface.co/Endevor/EndlessRP-v3-7B)
+- [ChaoticNeutrals/BuRP_7B](https://huggingface.co/ChaoticNeutrals/BuRP_7B)
+- [daybreak-kunoichi-2dpo-7b](https://huggingface.co/crestf411/daybreak-kunoichi-2dpo-7b)

config.json

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+{
+  "_name_or_path": "output-model-directory\\intermediate-model",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+base_model:
+  model:
+    path: output-model-directory\intermediate-model
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - filter: self_attn
+    value: [0.0, 0.5, 0.3, 0.7, 1.0]
+  - filter: mlp
+    value: [1.0, 0.5, 0.7, 0.3, 0.0]
+  - value: 0.5
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: output-model-directory\intermediate-model
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: ./modela/BuRP_7B

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}