FMixIA-7B-SLERP-27

2
7.0B
license:apache-2.0
by
Ro-xe
Other
OTHER
7B params
New
2 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary

This model is licensed under Apache 2.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM

Code Examples

🔧 Configurationyaml
merge_method: slerp
slices:
            - sources:
                - model: eren23/OGNO-7b-dpo-truthful
                  layer_range: [0, 32]
                - model: Kquant03/NeuralTrix-7B-dpo-laser
                  layer_range: [0, 32]
              merge_method: slerp
              base_model: eren23/OGNO-7b-dpo-truthful
              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
merge_method: slerp
slices:
            - sources:
                - model: eren23/OGNO-7b-dpo-truthful
                  layer_range: [0, 32]
                - model: Kquant03/NeuralTrix-7B-dpo-laser
                  layer_range: [0, 32]
              merge_method: slerp
              base_model: eren23/OGNO-7b-dpo-truthful
              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
merge_method: slerp
slices:
            - sources:
                - model: eren23/OGNO-7b-dpo-truthful
                  layer_range: [0, 32]
                - model: Kquant03/NeuralTrix-7B-dpo-laser
                  layer_range: [0, 32]
              merge_method: slerp
              base_model: eren23/OGNO-7b-dpo-truthful
              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
merge_method: slerp
slices:
            - sources:
                - model: eren23/OGNO-7b-dpo-truthful
                  layer_range: [0, 32]
                - model: Kquant03/NeuralTrix-7B-dpo-laser
                  layer_range: [0, 32]
              merge_method: slerp
              base_model: eren23/OGNO-7b-dpo-truthful
              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
merge_method: slerp
slices:
            - sources:
                - model: eren23/OGNO-7b-dpo-truthful
                  layer_range: [0, 32]
                - model: Kquant03/NeuralTrix-7B-dpo-laser
                  layer_range: [0, 32]
              merge_method: slerp
              base_model: eren23/OGNO-7b-dpo-truthful
              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
merge_method: slerp
slices:
            - sources:
                - model: eren23/OGNO-7b-dpo-truthful
                  layer_range: [0, 32]
                - model: Kquant03/NeuralTrix-7B-dpo-laser
                  layer_range: [0, 32]
              merge_method: slerp
              base_model: eren23/OGNO-7b-dpo-truthful
              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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