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TinyDolphin 3x MoE by jtatman

By jtatman · 11 downloads

TinyDolphin 3x MoE is an open-source language model by jtatman. Features: 1.1b LLM, VRAM: 5.3GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.11.

Base model:finetune:quixiai/ti... Base model:quixiai/tinydolphin... Cognitivecomputations/tinydolp...   Endpoints compatible   Frankenmoe   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

TinyDolphin 3x MoE Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Training Details 
Model Architecture:
Mixture of Experts using LazyMergekit
LLM NameTinyDolphin 3x MoE
Repository πŸ€—https://huggingface.co/jtatman/TinyDolphin-3x-MoE 
Base Model(s)  cognitivecomputations/TinyDolphin-2.8.1-1.1b   cognitivecomputations/TinyDolphin-2.8.1-1.1b   cognitivecomputations/TinyDolphin-2.8.1-1.1b   cognitivecomputations/TinyDolphin-2.8.1-1.1b   cognitivecomputations/TinyDolphin-2.8.1-1.1b   cognitivecomputations/TinyDolphin-2.8.1-1.1b
Model Size1.1b
Required VRAM5.3 GB
Updated2026-08-02
Maintainerjtatman
Model Typemixtral
Model Files  2.0 GB: 1-of-3   2.0 GB: 2-of-3   1.3 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than jtatman/TinyDolphin-3x-MoE.