ChaosFlowerRP-24B

5
2
24.0B
license:apache-2.0
by
Vortex5
Language Model
OTHER
24B params
New
5 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
54GB+ RAM
Mobile
Laptop
Server
Quick Summary

ChaosFlowerRP-24B is a merge of pre-trained language models created using mergekit.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
23GB+ RAM

Code Examples

Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
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      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto
Configurationyaml
slices:
  - sources:
      - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
        layer_range: [0, 40]
        parameters:
          density: 0.8
          weight: 0.4
      - model: h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
      - model: OddTheGreat/Apparatus_24B
        layer_range: [0, 40]
        parameters:
          density: 0.7
          weight: 0.3
merge_method: ties
base_model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
  normalize: true
  int8_mask: true
  t:
    - filter: self_attn
      value: [0.4, 0.3, 0.3]  # Matches your weight distribution
    - filter: mlp
      value: [0.4, 0.3, 0.3]  # Same weights for MLP layers
    - value: 0.4  # Default weight for other layers
dtype: bfloat16
tokenizer_source: union
tokenizer_config:
  tokens:
    <|im_start|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|im_end|>:
      source: "h34v7/DansXPantheon-RP-Engine-V1.2-24b-Small-Instruct-Ties-Merge"
    <|start_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
    <|end_header_id|>:
      source: "trashpanda-org/MS-24B-Instruct-Mullein-v0"
      force: true
chat_template: auto

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