What are the hardware requirements for TR HASH MoE 200M 160B SFT?

TR HASH MoE 200M 160B SFT requires approximately 0.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TR HASH MoE 200M 160B SFT and how large is it?

TR HASH MoE 200M 160B SFT is developed by AETHORIA-AI, a model with 202.7m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate TR HASH MoE 200M 160B SFT?

TR HASH MoE 200M 160B SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TR HASH MoE 200M 160B SFT by AETHORIA-AI — VRAM 0.8GB, 2K context

Name: TR HASH MoE 200M 160B SFT
Author: AETHORIA-AI

TR HASH MoE 200M 160B SFT is an open-source language model by AETHORIA-AI. Features: 202.7m LLM, VRAM: 0.8GB, Context: 2K, License: apache-2.0, MoE, LLM Explorer Score: 0.34.

Base model:aethoria-ai/tr-hash... Base model:finetune:aethoria-a... Conversational Custom-code Custom code Dataset:aethoria-ai/tr-hash-mo... En Fr Full-parameter-finetuning Gqa Mixture-of-experts Moe Pytorch Region:us Safetensors Supervised-finetuning Tr-hash Tr hash moe

Model Card on HF 🤗: https://huggingface.co/AETHORIA-AI/TR-HASH-MoE-200M-160B-SFT

TR HASH MoE 200M 160B SFT Parameters and Internals

LLM Name	TR HASH MoE 200M 160B SFT
Repository 🤗	https://huggingface.co/AETHORIA-AI/TR-HASH-MoE-200M-160B-SFT
Base Model(s)	... HASH MoE 200M 160B Refinement AETHORIA-AI/TR-HASH-MoE-200M-160B-Refinement
Model Size	202.7m
Required VRAM	0.8 GB
Updated	2026-08-23
Maintainer	AETHORIA-AI
Model Files	0.8 GB
Supported Languages	en fr
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>

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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