MixtureofMerges MoE 2x7b V6 by jsfs11

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  Autotrain compatible Base model:merge:mlabonne/alph... Base model:merge:yam-peleg/exp... Base model:mlabonne/alphamonar... Base model:yam-peleg/experimen...   Endpoints compatible   Frankenmoe   Lazymergekit   Merge   Mergekit   Mixtral   Mlabonne/alphamonarch-7b   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow   Yam-peleg/experiment26-7b

MixtureofMerges MoE 2x7b V6 Benchmarks

MixtureofMerges MoE 2x7b V6 (jsfs11/MixtureofMerges-MoE-2x7b-v6)

MixtureofMerges MoE 2x7b V6 Parameters and Internals

Model Type 
text generation
Training Details 
Methodology:
Mixture of Experts made with LazyMergekit
LLM NameMixtureofMerges MoE 2x7b V6
Repository ๐Ÿค—https://huggingface.co/jsfs11/MixtureofMerges-MoE-2x7b-v6 
Base Model(s)  Experiment26 7B   AlphaMonarch 7B   yam-peleg/Experiment26-7B   mlabonne/AlphaMonarch-7B
Model Size12.9b
Required VRAM25.8 GB
Updated2025-02-05
Maintainerjsfs11
Model Typemixtral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jsfs11/MixtureofMerges-MoE-2x7b-v6.

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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