🧠
Tr Hash Moe 200m 160b Sft model by Aethoria Ai
⭐ 46.3
🧠
Model

Tr Hash Moe 200m 160b Sft

by Aethoria Ai aethoria-ai/tr-hash-moe-200m-160b-sft
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 33
R: Recency 92
Q: Quality 65
Tech Context
0.2B Params
4.096K Ctx
Vital Performance
2.2K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
Tiny 0.2B Params
4k Context
2.2K Downloads
8G GPU ~2GB Est. VRAM
Dense TRHASHFORCAUSALLM Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID aethoria-ai/tr-hash-moe-200m-160b-sft
License CC-BY-NC-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{aethoria_ai_tr_hash_moe_200m_160b_sft,
  author = {Aethoria Ai},
  title = {Tr Hash Moe 200m 160b Sft Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AETHORIA-AI/TR-HASH-MoE-200M-160B-SFT}},
  note = {Accessed via Free2AITools.}
}
APA Style
Aethoria Ai. (2026). Tr Hash Moe 200m 160b Sft [Model]. Free2AITools. https://huggingface.co/AETHORIA-AI/TR-HASH-MoE-200M-160B-SFT

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run tr-hash-moe-200m-160b-sft
πŸ€— HF Download
huggingface-cli download aethoria-ai/tr-hash-moe-200m-160b-sft
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 33
Recency (R) 92
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Tr Hash Moe 200m 160b Sft: Authority (A:39), Popularity (P:33), Recency (R:92), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
2.2KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--aethoria-ai--tr-hash-moe-200m-160b-sft
slug
aethoria-ai--tr-hash-moe-200m-160b-sft
source
huggingface
author
Aethoria Ai
license
CC-BY-NC-4.0
tags
transformers, safetensors, tr_hash_moe, text-generation, pytorch, tr-hash, mixture-of-experts, gqa, supervised-finetuning, full-parameter-finetuning, custom-code, conversational, custom_code, en, fr, dataset:aethoria-ai/tr-hash-moe-200m-sft-v2-300k, license:apache-2.0, region:us, license:cc-by-nc-4.0

βš™οΈ Technical Specs

architecture
TRHashForCausalLM
params billions
0.2
context length
4,096
pipeline tag
text-generation
vram gb
1.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,218

Data indexed from public sources. Updated daily.