🧠
Outlier 10b model by Outlier Ai
⭐ 39.3
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Model

Outlier 10b

by Outlier Ai outlier-ai/outlier-10b
Free2AITools Nexus Index
39.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 17
R: Recency 67
Q: Quality 50
Tech Context
10 Params
4.096K Ctx
Vital Performance
361 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39.3 FNI Score
10B Params
4k Context
361 Downloads
24G GPU ~9GB Est. VRAM
Dense OUTLIERMOE Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID outlier-ai/outlier-10b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{outlier_ai_outlier_10b,
  author = {Outlier Ai},
  title = {Outlier 10b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Outlier-Ai/Outlier-10B}},
  note = {Accessed via Free2AITools.}
}
APA Style
Outlier Ai. (2026). Outlier 10b [Model]. Free2AITools. https://huggingface.co/Outlier-Ai/Outlier-10B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run outlier-10b
πŸ€— HF Download
huggingface-cli download outlier-ai/outlier-10b
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) 33
Popularity (P) 17
Recency (R) 67
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Outlier 10b: Authority (A:33), Popularity (P:17), Recency (R:67), Quality (Q:50). 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
361Downloads
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--outlier-ai--outlier-10b
slug
outlier-ai--outlier-10b
source
huggingface
author
Outlier Ai
license
Apache-2.0
tags
transformers, outlier_moe, text-generation, mixture-of-experts, moe, ternary, qwen2, qwen2.5, outlier, legacy, research, superseded, conversational, en, base_model:qwen/qwen2.5-7b-instruct, base_model:adapter:qwen/qwen2.5-7b-instruct, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
OutlierMoE
params billions
10
context length
4,096
pipeline tag
text-generation
vram gb
8.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
361

Data indexed from public sources. Updated daily.