MN-Slush
63
33
—
by
crestf411
Language Model
OTHER
2306.01708B params
New
63 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
5155GB+ RAM
Mobile
Laptop
Server
Quick Summary
Slush is a two-stage model trained with high LoRA dropout, where stage 1 is a pretraining continuation on the base model, aimed at boosting the model's creativity and writing capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2148GB+ RAM
Code Examples
Configurationyaml
models:
- model: stage1-on-instruct
parameters:
weight: 1
density: 1
- model: stage2-on-stage1
parameters:
weight: 0.7
density: 1
- model: mistralai/Mistral-Nemo-Instruct-2407
parameters:
weight: 1
density: 1
merge_method: ties
base_model: mistralai/Mistral-Nemo-Base-2407
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16Configurationyaml
models:
- model: stage1-on-instruct
parameters:
weight: 1
density: 1
- model: stage2-on-stage1
parameters:
weight: 0.7
density: 1
- model: mistralai/Mistral-Nemo-Instruct-2407
parameters:
weight: 1
density: 1
merge_method: ties
base_model: mistralai/Mistral-Nemo-Base-2407
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16Configurationyaml
models:
- model: stage1-on-instruct
parameters:
weight: 1
density: 1
- model: stage2-on-stage1
parameters:
weight: 0.7
density: 1
- model: mistralai/Mistral-Nemo-Instruct-2407
parameters:
weight: 1
density: 1
merge_method: ties
base_model: mistralai/Mistral-Nemo-Base-2407
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16Configurationyaml
models:
- model: stage1-on-instruct
parameters:
weight: 1
density: 1
- model: stage2-on-stage1
parameters:
weight: 0.7
density: 1
- model: mistralai/Mistral-Nemo-Instruct-2407
parameters:
weight: 1
density: 1
merge_method: ties
base_model: mistralai/Mistral-Nemo-Base-2407
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16Configurationyaml
models:
- model: stage1-on-instruct
parameters:
weight: 1
density: 1
- model: stage2-on-stage1
parameters:
weight: 0.7
density: 1
- model: mistralai/Mistral-Nemo-Instruct-2407
parameters:
weight: 1
density: 1
merge_method: ties
base_model: mistralai/Mistral-Nemo-Base-2407
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16Configurationyaml
models:
- model: stage1-on-instruct
parameters:
weight: 1
density: 1
- model: stage2-on-stage1
parameters:
weight: 0.7
density: 1
- model: mistralai/Mistral-Nemo-Instruct-2407
parameters:
weight: 1
density: 1
merge_method: ties
base_model: mistralai/Mistral-Nemo-Base-2407
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16Configurationyaml
models:
- model: stage1-on-instruct
parameters:
weight: 1
density: 1
- model: stage2-on-stage1
parameters:
weight: 0.7
density: 1
- model: mistralai/Mistral-Nemo-Instruct-2407
parameters:
weight: 1
density: 1
merge_method: ties
base_model: mistralai/Mistral-Nemo-Base-2407
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16Deploy This Model
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