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TinyDolphin 3x MoE by jtatman

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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: 0.12.

Base model:finetune:quixiai/ti... Base model:quixiai/tinydolphin... Cognitivecomputations/tinydolp...   Endpoints compatible   Frankenmoe   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jtatman/TinyDolphin-3x-MoE 

TinyDolphin 3x MoE Benchmarks

LLME Score: 0.11516
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyDolphin 3x MoE (jtatman/TinyDolphin-3x-MoE)
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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 🤗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
Updated2026-05-02
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

Best Alternatives to TinyDolphin 3x MoE

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...inyLlama 1.1B Chat V1.0 X2 MoE2K / 3.7 GB33421
Karasu Moe22K / 7.5 GB50
Tinyllama Moe42K / 3.7 GB111
Tinyllama Moe12K / 5.3 GB90
...yMoE DopeykarasuMoe Xdareties22K / 3.7 GB60
Tinyllama Moe32K / 3.7 GB80
LiteMOE 3x460m1K / 2.1 GB111
Note: green Score (e.g. "73.2") means that the model is better than jtatman/TinyDolphin-3x-MoE.

Rank the TinyDolphin 3x MoE Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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