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Qwen3.8 Flash Next Trellis A25 Ignis model by gpillon
⭐ 44.8
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Model

Qwen3.8 Flash Next Trellis A25 Ignis

by gpillon gpillon/qwen3.8-flash-next-trellis-a25-ignis
Free2AITools Nexus Index
44.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 0
R: Recency 98
Q: Quality 50
Tech Context
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 44.8 FNI Score
Tiny - Params
- Context
0 Downloads
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID gpillon/qwen3.8-flash-next-trellis-a25-ignis
License Other
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{gpillon_qwen3_8_flash_next_trellis_a25_ignis,
  author = {gpillon},
  title = {Qwen3.8 Flash Next Trellis A25 Ignis Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/gpillon/Qwen3.8-Flash-Next-trellis-a25-ignis}},
  note = {Accessed via Free2AITools.}
}
APA Style
gpillon. (2026). Qwen3.8 Flash Next Trellis A25 Ignis [Model]. Free2AITools. https://huggingface.co/gpillon/Qwen3.8-Flash-Next-trellis-a25-ignis

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download gpillon/qwen3.8-flash-next-trellis-a25-ignis

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 0
Recency (R) 98
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.8 Flash Next Trellis A25 Ignis: Authority (A:29), Popularity (P:0), Recency (R:98), 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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⚠️ Incomplete Data

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

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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.
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--gpillon--qwen3.8-flash-next-trellis-a25-ignis
slug
gpillon--qwen3.8-flash-next-trellis-a25-ignis
source
huggingface
author
gpillon
license
Other
tags
ignis, qwen3.8, flash-next, moe, trellis, fp8, cuda, rtx-5090, blackwell, conversational, mtp, speculative-decoding, text-generation, base_model:qwen/qwen3.8-flash-next, base_model:quantized:qwen/qwen3.8-flash-next, license:other, region:us

βš™οΈ Technical Specs

pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.