EVA-Gutenberg-Rombos-slerp-Qwen2.5-32B

Name: EVA-Gutenberg-Rombos-slerp-Qwen2.5-32B
Author: nbeerbower

32.0B

license:apache-2.0

nbeerbower

Language Model

OTHER

32B params

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0 downloads

Early-stage

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Edge AI:

Mobile

Laptop

Server

72GB+ RAM

Mobile

Laptop

Server

Quick Summary

This is a merge of pre-trained language models created using mergekit.

Device Compatibility

Mobile

4-6GB RAM

Laptop

16GB RAM

Server

GPU

Minimum Recommended

30GB+ RAM

Code Examples

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Configurationyaml

slices:
  - sources:
      - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
        layer_range: [0, 64]
      - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
        layer_range: [0, 64]
merge_method: slerp
base_model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

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