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README.md

@@ -1,48 +1,32 @@
 ---
-license: apache-2.0
-datasets:
-- Epiculous/SynthRP-Gens-v1-Filtered-n-Cleaned
-- Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned
-language:
-- en
-- fr
-- de
-- es
-- it
-- pt
-- ru
-- zh
-- ja
-pipeline_tag: text-generation
+base_model:
+- Epiculous/Crimson_Dawn-V0.1
+- Epiculous/Azure_Dusk-v0.1
+library_name: transformers
 tags:
+- mergekit
 - merge
+
 ---
+# Violet_Twilight
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64adfd277b5ff762771e4571/oTCM28M_Hu6lM4DmOp7tC.png)
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-Now for something a bit different, Violet_Twilight! This model is a SLERP merge of Azure_Dusk and Crimson_Dawn!
+## Merge Details
+### Merge Method
 
-# Quants!
-<strong>full</strong> / [exl2]() / [gguf]()
+This model was merged using the SLERP merge method.
 
-## Prompting
-Violet_Twilight's models were trained with the Mistral Instruct template, therefore it should be prompted in a similar way that you would prompt any other mistral based model.
+### Models Merged
 
-```
-"<s>[INST] Prompt goes here [/INST]<\s>"
-```
-### Context and Instruct
-[Magnum-123B-Context.json](https://files.catbox.moe/rkyqwg.json) <br/>
-[Magnum-123B-Instruct.json](https://files.catbox.moe/obb5oe.json) <br/>
-*** NOTE *** <br/>
-There have been reports of the quantized model misbehaving with the mistral prompt, if you are seeing issues it may be worth trying ChatML Context and Instruct templates.
-If you are using GGUF I strongly advise using ChatML, for some reason that quantization performs better using ChatML.
-### Current Top Sampler Settings
-[Crimson_Dawn-Nitral-Special](https://files.catbox.moe/8xjxht.json) - Considered the best settings! <br/>
-[Crimson_Dawn-Magnum-Style](https://files.catbox.moe/lc59dn.json) 
+The following models were included in the merge:
+* [Epiculous/Crimson_Dawn-V0.1](https://huggingface.co/Epiculous/Crimson_Dawn-V0.1)
+* [Epiculous/Azure_Dusk-v0.1](https://huggingface.co/Epiculous/Azure_Dusk-v0.1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
 
-## Merging
-The following config was used to merge Azure Dusk and Crimson Dawn
 ```yaml
 slices:
   - sources:
@@ -50,6 +34,10 @@ slices:
         layer_range: [0, 40]
       - model: Epiculous/Crimson_Dawn-V0.1
         layer_range: [0, 40]
+# or, the equivalent models: syntax:
+# models:
+#   - model: psmathur/orca_mini_v3_13b
+#   - model: garage-bAInd/Platypus2-13B
 merge_method: slerp
 base_model: Epiculous/Azure_Dusk-v0.1
 parameters:
@@ -61,4 +49,4 @@ parameters:
     - value: 0.5 # fallback for rest of tensors
 dtype: bfloat16
 
-```
+```

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "Epiculous/Azure_Dusk-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": false,
+  "vocab_size": 131072
+}

mergekit_config.yml

@@ -0,0 +1,20 @@
+slices:
+  - sources:
+      - model: Epiculous/Azure_Dusk-v0.1
+        layer_range: [0, 40]
+      - model: Epiculous/Crimson_Dawn-V0.1
+        layer_range: [0, 40]
+# or, the equivalent models: syntax:
+# models:
+#   - model: psmathur/orca_mini_v3_13b
+#   - model: garage-bAInd/Platypus2-13B
+merge_method: slerp
+base_model: Epiculous/Azure_Dusk-v0.1
+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

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