ECE-EIFFEL-3Bv3

1
license:apache-2.0
by
lesubra
Code Model
OTHER
3B params
New
1 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
7GB+ RAM
Mobile
Laptop
Server
Quick Summary

ECE-EIFFEL-3Bv3 is a merge of the following models using mergekit: jpacifico/Chocolatine-3B-Instruct-DPO-v1.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
3GB+ RAM

Code Examples

🧩 Configurationyaml
slices:
  - sources:
      - model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
        layer_range: [0, 32]
      - model: lesubra/merge-test 
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
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: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
        layer_range: [0, 32]
      - model: lesubra/merge-test 
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
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: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
        layer_range: [0, 32]
      - model: lesubra/merge-test 
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
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: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
        layer_range: [0, 32]
      - model: lesubra/merge-test 
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
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: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
        layer_range: [0, 32]
      - model: lesubra/merge-test 
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
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: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
        layer_range: [0, 32]
      - model: lesubra/merge-test 
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
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: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
        layer_range: [0, 32]
      - model: lesubra/merge-test 
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0
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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