Lorablated-w2bb-psy-della

7
3
2.0B
license:apache-2.0
by
Retreatcost
Language Model
OTHER
2B params
New
7 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
5GB+ 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
2GB+ RAM

Code Examples

yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: linear
base_model: ./lorablated_w2bb_fusion
models:
  - model: ./lorablated_w2bb_fusion
    parameters: 
      weight: 0.0
  - model: ./lorablated_w2bb_fusion+jtatman/mistral_nemo_12b_reasoning_psychology_lora
    parameters: 
      weight: 1.0
dtype: bfloat16
out_dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16
yaml
merge_method: della
base_model: ./retokenized_LBS
models:
  - model: ./wayfarer2bb
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated_w2bb_fusion
    parameters:
      weight: 0.6
      density: 0.4
      epsilon: 0.3
  - model: ./lorablated-w2bb-psy-ta
    parameters:
      weight: 0.8
      density: 0.6
      epsilon: 0.35
dtype: bfloat16

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