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GK MoE 0.1 by powermove72

 »  All LLMs  »  powermove72  »  GK MoE 0.1   URL Share it on

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  Argilla/notus-7b-v1   Autotrain compatible   Base model:argilla/notus-7b-v1   Base model:gritlm/gritlm-7b Base model:merge:argilla/notus... Base model:merge:gritlm/gritlm...   Conversational   Custom code   Endpoints compatible   Frankenmoe   Gritlm/gritlm-7b   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/powermove72/GK-MoE-0.1 

GK MoE 0.1 Benchmarks

LLME Score: 0.18997
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GK MoE 0.1 (powermove72/GK-MoE-0.1)

GK MoE 0.1 Parameters and Internals

Model Type 
moe, frankenmoe, merge
LLM NameGK MoE 0.1
Repository 🤗https://huggingface.co/powermove72/GK-MoE-0.1 
Base Model(s)  Notus 7B V1   GritLM 7B   argilla/notus-7b-v1   GritLM/GritLM-7B
Model Size12.9b
Required VRAM25.8 GB
Updated2025-02-22
Maintainerpowermove72
Model Typemixtral
Model Files  1.9 GB: 1-of-13   2.0 GB: 2-of-13   2.0 GB: 3-of-13   2.0 GB: 4-of-13   2.0 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.0 GB: 8-of-13   2.0 GB: 9-of-13   2.0 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   1.9 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to GK MoE 0.1

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MixTAO 7Bx2 MoE V8.132K / 25.8 GB957855
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB50
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB80
MixTAO 7Bx2 MoE V8.132K / 25.8 GB876052
MultiMash8 13B Slerp32K / 25.7 GB60
MultiMash11 13B Slerp32K / 25.7 GB60
MultiMash9 13B Slerp32K / 25.7 GB80
MultiMash10 13B Slerp32K / 25.7 GB120
Mixtral 7Bx2 MoE32K / 25.8 GB183236
MixTaoTruthful 13B Slerp32K / 25.7 GB80
Note: green Score (e.g. "73.2") means that the model is better than powermove72/GK-MoE-0.1.

Rank the GK MoE 0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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