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LiteMOE 3x460m by cnmoro

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LiteMOE 3x460m is an open-source language model by cnmoro. Features: 1.1b LLM, VRAM: 2.1GB, Context: 1K, License: apache-2.0, MoE, LLM Explorer Score: 0.11.

  Autotrain compatible   Endpoints compatible   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cnmoro/LiteMOE-3x460m 

LiteMOE 3x460m Benchmarks

LLME Score: 0.11316
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LiteMOE 3x460m (cnmoro/LiteMOE-3x460m)
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LiteMOE 3x460m Parameters and Internals

Additional Notes 
The model is a merge of the LiteLlama-460M-1T model using mergekit.
LLM NameLiteMOE 3x460m
Repository 🤗https://huggingface.co/cnmoro/LiteMOE-3x460m 
Model Size1.1b
Required VRAM2.1 GB
Updated2024-11-18
Maintainercnmoro
Model Typemixtral
Model Files  2.1 GB: 1-of-1
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length1024
Model Max Length1024
Transformers Version4.36.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size50304
Torch Data Typebfloat16
Errorsreplace

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Tinyllama Moe42K / 3.7 GB111
Tinyllama Moe12K / 5.3 GB90
...yMoE DopeykarasuMoe Xdareties22K / 3.7 GB60
Tinyllama Moe32K / 3.7 GB80
Note: green Score (e.g. "73.2") means that the model is better than cnmoro/LiteMOE-3x460m.

Rank the LiteMOE 3x460m 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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