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MS-Schisandra-22B-v0.2-GGUF

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MS-Schisandra-22B-v0.2-GGUF
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---
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](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

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

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

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](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
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Nohobby__MS-Schisandra-22B-v0.2)

|      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|