🧠
Outlier Flagship Qwen36 35b A3b V1 model by Outlier Ai
⭐ 39.1
🧠
Model

Outlier Flagship Qwen36 35b A3b V1

by Outlier Ai outlier-ai/outlier-flagship-qwen36-35b-a3b-v1
Free2AITools Nexus Index
39.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 69
Q: Quality 65
Tech Context
34.66 Params
32.768K Ctx
Vital Performance
9 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39.1 FNI Score
34.66B Params
32k Context
9 Downloads
H100+ ~32GB Est. VRAM
Dense QWEN3_5MOEFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID outlier-ai/outlier-flagship-qwen36-35b-a3b-v1
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~31.5GB 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_flagship_qwen36_35b_a3b_v1,
  author = {Outlier Ai},
  title = {Outlier Flagship Qwen36 35b A3b V1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Outlier-Ai/outlier-flagship-qwen36-35b-a3b-v1}},
  note = {Accessed via Free2AITools.}
}
APA Style
Outlier Ai. (2026). Outlier Flagship Qwen36 35b A3b V1 [Model]. Free2AITools. https://huggingface.co/Outlier-Ai/outlier-flagship-qwen36-35b-a3b-v1

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run outlier-flagship-qwen36-35b-a3b-v1
πŸ€— HF Download
huggingface-cli download outlier-ai/outlier-flagship-qwen36-35b-a3b-v1

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 1
Recency (R) 69
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Outlier Flagship Qwen36 35b A3b V1: Authority (A:0), Popularity (P:1), Recency (R:69), 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
9Downloads
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-flagship-qwen36-35b-a3b-v1
slug
outlier-ai--outlier-flagship-qwen36-35b-a3b-v1
source
huggingface
author
Outlier Ai
license
Apache-2.0
tags
safetensors, qwen3_5_moe_text, mixture-of-experts, distillation, lora, experimental, training-failure-documented, text-generation, conversational, en, base_model:qwen/qwen3.6-35b-a3b, base_model:adapter:qwen/qwen3.6-35b-a3b, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForCausalLM
params billions
34.66
context length
32,768
pipeline tag
text-generation
vram gb
31.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
9

Data indexed from public sources. Updated daily.