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README.md

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+---
+language:
+- en
+license: other
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model: Nohobby/MS-Schisandra-22B-v0.3
+quantized_by: waldie
+---
+***
+## 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-v1.3](https://huggingface.co/TheDrummer/UnslopSmall-22B-v1) | [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) | [NovusKyver](https://huggingface.co/Envoid/Mistral-Small-NovusKyver) | [Meadowlark](https://huggingface.co/ToastyPigeon/MS-Meadowlark-Alt-22B) | [Firefly](https://huggingface.co/invisietch/MiS-Firefly-v0.2-22B) 
+***
+
+### Overview
+
+Main uses: RP
+
+Prompt format: Mistral-V3
+
+At the moment, I'm not entirely sure it's an improvement on v0.2. It may have lost some of the previous version's instruction following, but the writing seems a little more vivid and the swipes are more distinct.
+
+***
+
+### Quants
+
+GGUF: [5_K_L](https://huggingface.co/Nohobby/MS-Schisandra-22B-v0.3-Q5_K_L/resolve/main/MS-Schisandra-22B-v0.3_Q5_K_L.gguf?download=true)
+
+***
+
+### Settings
+
+My SillyTavern preset: https://huggingface.co/Nohobby/MS-Schisandra-22B-v0.3/resolve/main/ST-formatting-Schisandra0.3.json
+
+***
+
+## Merge Details
+### Merging steps
+
+## Karasik-v0.3
+
+```yaml
+models:
+  - model: Mistral-Small-22B-ArliAI-RPMax-v1.1
+    parameters:
+      weight: [0.2, 0.3, 0.2, 0.3, 0.2]
+      density: [0.45, 0.55, 0.45, 0.55, 0.45]
+  - model: Mistral-Small-NovusKyver
+    parameters:
+      weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
+      density: [0.6, 0.4, 0.5, 0.4, 0.6]
+  - model: MiS-Firefly-v0.2-22B
+    parameters:
+      weight: [0.208, 0.139, 0.139, 0.139, 0.208]
+      density: [0.7]
+  - model: magnum-v4-22b
+    parameters:
+      weight: [0.33]
+      density: [0.45, 0.55, 0.45, 0.55, 0.45]
+merge_method: della_linear
+base_model: Mistral-Small-22B-ArliAI-RPMax-v1.1
+parameters:
+  epsilon: 0.05
+  lambda: 1.05
+  int8_mask: true
+  rescale: true
+  normalize: false
+dtype: bfloat16
+tokenizer_source: base
+```
+
+## SchisandraVA3
+(Config taken from [here](https://huggingface.co/HiroseKoichi/Llama-3-8B-Stroganoff-4.0))
+
+```yaml
+merge_method: della_linear
+dtype: bfloat16
+parameters:
+  normalize: true
+  int8_mask: true
+tokenizer_source: base
+base_model: Cydonia-22B-v1.3
+models:
+    - model: Karasik03
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: Pantheon-RP-Pure-1.6.2-22b-Small
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: ChatWaifu_v2.0_22B
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: MS-Meadowlark-Alt-22B
+      parameters:
+        density: 0.55
+        weight: 1
+    - model: SorcererLM-22B
+      parameters:
+        density: 0.55
+        weight: 1
+```
+
+## Schisandra-v0.3
+
+```yaml
+dtype: bfloat16
+tokenizer_source: base
+merge_method: della_linear
+parameters:
+  density: 0.5
+base_model: SchisandraVA3
+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: SchisandraVA3
+    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
+```

ST-formatting-Schisandra0.3.json

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+{
+    "instruct": {
+        "input_sequence": "\n[INST] ",
+        "output_sequence": "",
+        "last_output_sequence": "",
+        "system_sequence": "\n[INST] Narrative Instructions: ",
+        "stop_sequence": "",
+        "wrap": false,
+        "macro": true,
+        "activation_regex": "",
+        "system_sequence_prefix": "",
+        "system_sequence_suffix": "",
+        "first_output_sequence": "",
+        "skip_examples": true,
+        "output_suffix": "</s>",
+        "input_suffix": "[/INST]",
+        "system_suffix": "[/INST]",
+        "user_alignment_message": "",
+        "system_same_as_user": false,
+        "last_system_sequence": "",
+        "first_input_sequence": "",
+        "last_input_sequence": "",
+        "names_behavior": "always",
+        "names_force_groups": true,
+        "name": "MS"
+    },
+    "context": {
+        "story_string": "\n<s>[INST] {{#if system}}{{system}}\n# Narrative Context:\n{{/if}}{{#if wiBefore}}## World Info:\n{{wiBefore}}\n{{/if}}{{#if description}}## {{char}}'s Description:\n{{description}}\n{{/if}}{{#if personality}}## {{char}}'s Personality:\n{{personality}}\n{{/if}}{{#if persona}}## {{user}}'s Persona:\n{{persona}}\n{{/if}}{{#if scenario}}## Scenario:\n{{scenario}}\n{{/if}}{{#if wiAfter}}## World Info:\n{{wiAfter}}\n{{/if}}{{#if mesExamples}}## {{char}}'s Example Response:\n{{mesExamples}}\n{{/if}}\n[/INST]",
+        "example_separator": "",
+        "chat_start": "## Exchange:",
+        "use_stop_strings": false,
+        "allow_jailbreak": false,
+        "names_as_stop_strings": false,
+        "always_force_name2": false,
+        "trim_sentences": true,
+        "single_line": false,
+        "name": "MS"
+    },
+    "preset": {
+        "temp": 0.9,
+        "temperature_last": true,
+        "top_p": 0.9,
+        "top_k": 100,
+        "top_a": 0,
+        "tfs": 1,
+        "epsilon_cutoff": 0,
+        "eta_cutoff": 0,
+        "typical_p": 0.97,
+        "min_p": 0.003,
+        "rep_pen": 1.04,
+        "rep_pen_range": 0,
+        "rep_pen_decay": 0,
+        "rep_pen_slope": 0.7,
+        "no_repeat_ngram_size": 0,
+        "penalty_alpha": 0,
+        "num_beams": 1,
+        "length_penalty": 1,
+        "min_length": 0,
+        "encoder_rep_pen": 1,
+        "freq_pen": 0,
+        "presence_pen": 0.03,
+        "skew": 0,
+        "do_sample": true,
+        "early_stopping": true,
+        "dynatemp": false,
+        "min_temp": 0,
+        "max_temp": 2,
+        "dynatemp_exponent": 1,
+        "smoothing_factor": 0.3,
+        "smoothing_curve": 1,
+        "dry_allowed_length": 2,
+        "dry_multiplier": 0.8,
+        "dry_base": 1.75,
+        "dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
+        "dry_penalty_last_n": 28672,
+        "add_bos_token": true,
+        "ban_eos_token": false,
+        "skip_special_tokens": true,
+        "mirostat_mode": 0,
+        "mirostat_tau": 5,
+        "mirostat_eta": 0.1,
+        "guidance_scale": 1,
+        "negative_prompt": "",
+        "grammar_string": "",
+        "json_schema": {},
+        "banned_tokens": "",
+        "sampler_priority": [
+            "repetition_penalty",
+            "presence_penalty",
+            "frequency_penalty",
+            "dry",
+            "temperature",
+            "dynamic_temperature",
+            "quadratic_sampling",
+            "top_k",
+            "top_p",
+            "typical_p",
+            "epsilon_cutoff",
+            "eta_cutoff",
+            "tfs",
+            "top_a",
+            "min_p",
+            "mirostat",
+            "xtc",
+            "encoder_repetition_penalty",
+            "no_repeat_ngram"
+        ],
+        "samplers": [
+            "top_k",
+            "tfs_z",
+            "typical_p",
+            "top_p",
+            "min_p",
+            "xtc",
+            "temperature"
+        ],
+        "ignore_eos_token": false,
+        "spaces_between_special_tokens": true,
+        "speculative_ngram": false,
+        "sampler_order": [
+            6,
+            0,
+            1,
+            3,
+            2,
+            4,
+            5
+        ],
+        "logit_bias": [],
+        "xtc_threshold": 0.1,
+        "xtc_probability": 0.23,
+        "rep_pen_size": 0,
+        "genamt": 350,
+        "max_length": 28672,
+        "name": "Schisandra"
+    }
+}

config.json

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+{
+    "_name_or_path": "SchisandraVA3",
+    "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": "4.46.3",
+    "use_cache": true,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.4",
+        "bits": 5.5,
+        "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: SchisandraVA3
+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: SchisandraVA3
+    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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