metadata
language:
- en
license: other
library_name: transformers
tags:
- mergekit
- merge
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
model-index:
- name: MS-Schisandra-22B-v0.2
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 63.83
name: strict accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nohobby/MS-Schisandra-22B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 40.61
name: normalized accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nohobby/MS-Schisandra-22B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 19.94
name: exact match
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nohobby/MS-Schisandra-22B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 11.41
name: acc_norm
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nohobby/MS-Schisandra-22B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 10.67
name: acc_norm
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nohobby/MS-Schisandra-22B-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 34.85
name: accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nohobby/MS-Schisandra-22B-v0.2
name: Open LLM Leaderboard
Schisandra
Many thanks to the authors of the models used!
RPMax v1.1 | Pantheon-RP | UnslopSmall-v1 | Magnum V4 | ChatWaifu v2.0 | SorcererLM | Acolyte | NovusKyver | Meadowlark | Sunfall
Overview
Main uses: RP, Storywriting
Prompt format: Mistral-V3
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
Settings
My SillyTavern preset: https://huggingface.co./Nohobby/MS-Schisandra-22B-v0.2/resolve/main/ST-formatting-Schisandra.json
Merge Details
Merging steps
Step1
(Config partially taken from here)
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)
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)
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
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
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.22 |
| IFEval (0-Shot) | 63.83 |
| BBH (3-Shot) | 40.61 |
| MATH Lvl 5 (4-Shot) | 19.94 |
| GPQA (0-shot) | 11.41 |
| MuSR (0-shot) | 10.67 |
| MMLU-PRO (5-shot) | 34.85 |