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README.md

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+---
+base_model: Nohobby/MS-Schisandra-22B-v0.1
+quantized_by: waldie
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: other
+language:
+- en
+---
+***
+## Schisandra
+
+Many thanks to the authors of the models used!
+
+[RPMax v1.1](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) | [Pantheon-RP](https://huggingface.co/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small) | [Cydonia v1.2](https://huggingface.co/TheDrummer/Cydonia-22B-v1.2) | [Magnum V4](https://huggingface.co/anthracite-org/magnum-v4-22b) | [ChatWaifu v2.0](https://huggingface.co/spow12/ChatWaifu_v2.0_22B) | [SorcererLM](https://huggingface.co/InferenceIllusionist/SorcererLM-22B) | [Acolyte](https://huggingface.co/rAIfle/Acolyte-22B) | [NovusKyver](https://huggingface.co/Envoid/Mistral-Small-NovusKyver)
+***
+
+### Overview
+
+Main uses: RP, Storywriting
+
+Merge of 8 Mistral Small finetunes in total, which were then merged back into the original model to make it less stupid. Worked somehow? Definitely smarter than my previous MS merge and maybe some finetunes. Seems to really adhere to the writing style of the previous output, so you'll need either a good character card or an existing chat for a better replies.
+
+***
+
+### Quants
+
+[Static](https://huggingface.co/mradermacher/MS-Schisandra-22B-vB-GGUF)
+
+[Imatrix](https://huggingface.co/mradermacher/MS-Schisandra-22B-vB-i1-GGUF)
+
+***
+
+### Settings
+
+Prompt format: Mistral-V3 Tekken
+
+Samplers: [These](https://qu.ax/OusTx.json) or [These](https://huggingface.co/ToastyPigeon/ST-Presets-Mistral-Small/resolve/main/ST-sampling-preset-Mistral-Small.json?download=true)
+
+***
+
+## Merge Details
+### Merging steps
+
+## QCmix
+
+```yaml
+base_model: InferenceIllusionist/SorcererLM-22B
+parameters:
+  int8_mask: true
+  rescale: true
+  normalize: false
+dtype: bfloat16
+tokenizer_source: base
+merge_method: della
+models:
+  - model: Envoid/Mistral-Small-NovusKyver
+    parameters:
+      density: [0.35, 0.65, 0.5, 0.65, 0.35]
+      epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
+      lambda: 0.85
+      weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
+  - model: rAIfle/Acolyte-22B
+    parameters:
+      density: [0.6, 0.4, 0.5, 0.4, 0.6]
+      epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
+      lambda: 0.85
+      weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
+```
+
+## Schisandra-vA
+
+```yaml
+merge_method: della_linear
+dtype: bfloat16
+parameters:
+  normalize: true
+  int8_mask: true
+tokenizer_source: union
+base_model: TheDrummer/Cydonia-22B-v1.2
+models:
+    - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: spow12/ChatWaifu_v2.0_22B
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: anthracite-org/magnum-v4-22b
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: QCmix
+      parameters:
+        density: 0.55
+        weight: 1
+```
+
+## Schisandra
+
+```yaml
+dtype: bfloat16
+tokenizer_source: base
+merge_method: della_linear
+parameters:
+  density: 0.5
+base_model: Schisandra
+models:
+  - model: unsloth/Mistral-Small-Instruct-2409
+    parameters:
+      weight:
+        - filter: v_proj
+          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
+        - filter: o_proj
+          value: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1]
+        - filter: up_proj
+          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+        - filter: gate_proj
+          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
+        - filter: down_proj
+          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+        - value: 0
+  - model: Schisandra
+    parameters:
+      weight:
+        - filter: v_proj
+          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
+        - filter: o_proj
+          value: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0]
+        - filter: up_proj
+          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+        - filter: gate_proj
+          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
+        - filter: down_proj
+          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+        - value: 1
+
+```

config.json

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+{
+    "_name_or_path": "Schisandra",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 6144,
+    "initializer_range": 0.02,
+    "intermediate_size": 16384,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 48,
+    "num_hidden_layers": 56,
+    "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": "4.46.0",
+    "use_cache": true,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.3",
+        "bits": 6.5,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+dtype: bfloat16
+tokenizer_source: base
+merge_method: della_linear
+parameters:
+  density: 0.5
+base_model: Schisandra
+models:
+  - model: unsloth/Mistral-Small-Instruct-2409
+    parameters:
+      weight:
+        - filter: v_proj
+          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
+        - filter: o_proj
+          value: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1]
+        - filter: up_proj
+          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+        - filter: gate_proj
+          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
+        - filter: down_proj
+          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+        - value: 0
+  - model: Schisandra
+    parameters:
+      weight:
+        - filter: v_proj
+          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
+        - filter: o_proj
+          value: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0]
+        - filter: up_proj
+          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+        - filter: gate_proj
+          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
+        - filter: down_proj
+          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+        - value: 1

model.safetensors.index.json

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