File size: 5,572 Bytes
257b6d3 7963f64 257b6d3 7963f64 257b6d3 7963f64 315d671 7963f64 589d444 7963f64 257b6d3 7963f64 855a52c 7963f64 257b6d3 7963f64 257b6d3 7963f64 589d444 257b6d3 7963f64 855a52c 7963f64 257b6d3 7963f64 855a52c 257b6d3 7963f64 257b6d3 7963f64 257b6d3 7963f64 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 |
---
base_model:
- unsloth/Mistral-Small-Instruct-2409
- Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
- anthracite-org/magnum-v4-22b
- ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
- spow12/ChatWaifu_v2.0_22B
- rAIfle/Acolyte-22B
- Envoid/Mistral-Small-NovusKyver
- InferenceIllusionist/SorcererLM-22B
- allura-org/MS-Meadowlark-22B
- crestf411/MS-sunfall-v0.7.0
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) | [UnslopSmall-v1](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) | [Acolyte](https://huggingface.co/rAIfle/Acolyte-22B) | [NovusKyver](https://huggingface.co/Envoid/Mistral-Small-NovusKyver) | [Meadowlark](https://huggingface.co/allura-org/MS-Meadowlark-22B) | [Sunfall](https://huggingface.co/crestf411/MS-sunfall-v0.7.0)
***
### Overview
Main uses: RP, Storywriting
An intelligent model that is attentive to details and has a low-slop writing style. This time with a stable tokenizer.
Oh, and it now contains 10 finetunes! Not sure if some of them actually contribute to the output, but it's nice to see the numbers growing.
***
### Quants
GGUF: [Static](https://huggingface.co/mradermacher/MS-Schisandra-22B-v0.2-GGUF) | [Imatrix](https://huggingface.co/mradermacher/MS-Schisandra-22B-v0.2-i1-GGUF)
exl2: [4.65bpw](https://huggingface.co/waldie/MS-Schisandra-22B-v0.2-4.65bpw-h6-exl2) [5.5bpw](https://huggingface.co/waldie/MS-Schisandra-22B-v0.2-5.5bpw-h6-exl2) [6.5bpw](https://huggingface.co/waldie/MS-Schisandra-22B-v0.2-6.5bpw-h6-exl2)
***
### Settings
Prompt format: Mistral-V3 or [this](https://huggingface.co/ToastyPigeon/ST-Presets-Mistral-Small/resolve/main/ST-formatting-Mistral-Small-Oneshot.json)
Samplers: [These](https://qu.ax/BCRKS.json) or [These](https://qu.ax/OusTx.json)
***
## Merge Details
### Merging steps
## Step1
(Config partially taken from [here](https://huggingface.co/Casual-Autopsy/L3-Super-Nova-RP-8B))
```yaml
base_model: spow12/ChatWaifu_v2.0_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: [0.1, 0.1, 0.25, 0.1, 0.1]
lambda: 0.85
weight: [0.01847, -0.01468, 0.01503, -0.01822, 0.01459]
```
## Step2
(Config partially taken from [here](https://huggingface.co/Casual-Autopsy/L3-Super-Nova-RP-8B))
```yaml
base_model: InferenceIllusionist/SorcererLM-22B
parameters:
int8_mask: true
rescale: true
normalize: false
dtype: bfloat16
tokenizer_source: base
merge_method: della
models:
- model: crestf411/MS-sunfall-v0.7.0
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: anthracite-org/magnum-v4-22b
parameters:
density: [0.6, 0.4, 0.5, 0.4, 0.6]
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
lambda: 0.85
weight: [0.01847, -0.01468, 0.01503, -0.01822, 0.01459]
```
## SchisandraVA2
(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: TheDrummer/UnslopSmall-22B-v1
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: Step1
parameters:
density: 0.55
weight: 1
- model: allura-org/MS-Meadowlark-22B
parameters:
density: 0.55
weight: 1
- model: Step2
parameters:
density: 0.55
weight: 1
```
## Schisandra-v0.2
```yaml
dtype: bfloat16
tokenizer_source: base
merge_method: della_linear
parameters:
density: 0.5
base_model: SchisandraVA2
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: SchisandraVA2
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
``` |