mergekit-slerp-ldgylwv

Name: mergekit-slerp-ldgylwv
Author: mergekit-community

7.0B

—

mergekit-community

Language Model

OTHER

7B params

New

1 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

16GB+ 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

7GB+ RAM

Code Examples

Configurationyaml

slices:
  - sources:
      - model: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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: arcee-ai/sec-mistral-7b-instruct-1.6-epoch
        layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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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