solarmer3

3
10.7B
llama
by
sumink
Language Model
OTHER
10.7B params
New
3 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
24GB+ 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
10GB+ RAM

Code Examples

Configurationyaml
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - filter: mlp
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - value: 0.1
slices:
- sources:
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-Instruct-v1.0
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-v1.0
Configurationyaml
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - filter: mlp
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - value: 0.1
slices:
- sources:
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-Instruct-v1.0
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-v1.0
Configurationyaml
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - filter: mlp
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - value: 0.1
slices:
- sources:
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-Instruct-v1.0
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-v1.0
Configurationyaml
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - filter: mlp
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - value: 0.1
slices:
- sources:
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-Instruct-v1.0
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-v1.0
Configurationyaml
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - filter: mlp
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - value: 0.1
slices:
- sources:
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-Instruct-v1.0
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-v1.0
Configurationyaml
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - filter: mlp
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - value: 0.1
slices:
- sources:
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-Instruct-v1.0
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-v1.0
Configurationyaml
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - filter: mlp
    value: [0.1, 0.1, 0.1, 0.1, 0.1]
  - value: 0.1
slices:
- sources:
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-Instruct-v1.0
  - layer_range: [0, 48]
    model: upstage/SOLAR-10.7B-v1.0

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