L3-GothicMaid-8B
1
1
8.0B
1 language
llama
by
yamatazen
Language Model
OTHER
8B params
New
1 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
18GB+ 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
8GB+ RAM
Code Examples
Configurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Sao10K/L3-8B-Stheno-v3.2
models:
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.75
weight: 1.0
- model: HumanLLMs/Human-Like-LLama3-8B-Instruct
parameters:
density: 0.5
weight: 0.5
merge_method: ties
dtype: bfloat16
parameters:
normalize: trueDeploy This Model
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