LLM EXPLORER 60,277 MODELS INDEXED

DynMoE Qwen 1.8B by LINs-lab

By LINs-lab · 26 downloads

DynMoE Qwen 1.8B is an open-source language model by LINs-lab. Features: 3.4b LLM, VRAM: 5.7GB, Context: 8K, License: apache-2.0, MoE, LLM Explorer Score: 0.12.

  Arxiv:2405.14297   Custom code   Endpoints compatible   Moe   Moe llava qwen   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

DynMoE Qwen 1.8B Parameters and Internals

Model Type 
MoE, transformer
Additional Notes 
The model activates 2.2B out of 3.1B parameters on average.
Training Details 
Methodology:
dynamic top-k gating, adaptive training process
Training Time:
40 hours
Hardware Used:
8 A100 GPUs
Model Architecture:
Dynamic Mixture of Experts (DynMoE) with dynamic top-k gating
Release Notes 
Version:
2024.05.31
Notes:
Code release.
Version:
2024.05.25
Notes:
Checkpoints available.
Version:
2024.05.23
Notes:
Paper release.
LLM NameDynMoE Qwen 1.8B
Repository πŸ€—https://huggingface.co/LINs-lab/DynMoE-Qwen-1.8B 
Model Size3.4b
Required VRAM5.7 GB
Updated2026-08-05
MaintainerLINs-lab
Model Typemoe_llava_qwen
Model Files  5.0 GB: 1-of-2   0.7 GB: 2-of-2   4.9 GB   0.0 GB
Model ArchitectureLlavaQWenForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.37.0
Tokenizer ClassQWenTokenizer
Padding Token<|extra_0|>
Vocabulary Size151936
Torch Data Typebfloat16