Tinyllama Moe4 by aipib

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Tinyllama Moe4 is an open-source language model by aipib. Features: 1.1b LLM, VRAM: 3.7GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

Base model:gardner/tinyllama-1... Base model:merge:gardner/tinyl... Base model:merge:vihangd/dopey... Base model:vihangd/dopeytinyll...   Conversational   Endpoints compatible   Frankenmoe Gardner/tinyllama-1.1b-instruc...   Instruct   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Vihangd/dopeytinyllama-1.1b-v1

Tinyllama Moe4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tinyllama Moe4 Parameters and Internals

Model Type 
mixture of experts, text generation
Additional Notes 
Tinyllama-moe4 is a Mixture of Experts (MoE) model.
LLM NameTinyllama Moe4
Repository 🤗https://huggingface.co/aipib/Tinyllama-moe4 
Base Model(s)  vihangd/DopeyTinyLlama-1.1B-v1   gardner/TinyLlama-1.1B-Instruct-3T   vihangd/DopeyTinyLlama-1.1B-v1   gardner/TinyLlama-1.1B-Instruct-3T
Model Size1.1b
Required VRAM3.7 GB
Updated2026-04-24
Maintaineraipib
Model Typemixtral
Instruction-BasedYes
Model Files  2.0 GB: 1-of-2   1.7 GB: 2-of-2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

Rank the Tinyllama Moe4 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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Release v20260328a