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Qwen3.8 Flash Next Nvfp4 Ple Mmap Mtp Spark model by edougawa
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Model

Qwen3.8 Flash Next Nvfp4 Ple Mmap Mtp Spark

by edougawa edougawa/qwen3.8-flash-next-nvfp4-ple-mmap-mtp-spark
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 96
Q: Quality 65
Tech Context
73.24 Params
4.096K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
73.24B Params
4k Context
0 Downloads
H100+ ~58GB Est. VRAM
Dense QWEN4EXPFORCONDITIONALGENERATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID edougawa/qwen3.8-flash-next-nvfp4-ple-mmap-mtp-spark
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~57.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{edougawa_qwen3_8_flash_next_nvfp4_ple_mmap_mtp_spark,
  author = {edougawa},
  title = {Qwen3.8 Flash Next Nvfp4 Ple Mmap Mtp Spark Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/edougawa/Qwen3.8-Flash-Next-NVFP4-PLE-MMap-MTP-Spark}},
  note = {Accessed via Free2AITools.}
}
APA Style
edougawa. (2026). Qwen3.8 Flash Next Nvfp4 Ple Mmap Mtp Spark [Model]. Free2AITools. https://huggingface.co/edougawa/Qwen3.8-Flash-Next-NVFP4-PLE-MMap-MTP-Spark

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.8-flash-next-nvfp4-ple-mmap-mtp-spark
πŸ€— HF Download
huggingface-cli download edougawa/qwen3.8-flash-next-nvfp4-ple-mmap-mtp-spark

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) 0
Recency (R) 96
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.8 Flash Next Nvfp4 Ple Mmap Mtp Spark: Authority (A:0), Popularity (P:0), Recency (R:96), 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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⚠️ 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.
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--edougawa--qwen3.8-flash-next-nvfp4-ple-mmap-mtp-spark
slug
edougawa--qwen3.8-flash-next-nvfp4-ple-mmap-mtp-spark
source
huggingface
author
edougawa
license
Other
tags
vllm, safetensors, qwen4_exp, nvfp4, modelopt, quantized, multimodal, mtp, dgx-spark, gb10, image-text-to-text, conversational, base_model:qwen/qwen3.8-flash-next, base_model:quantized:qwen/qwen3.8-flash-next, license:other, 8-bit, region:us

βš™οΈ Technical Specs

architecture
Qwen4ExpForConditionalGeneration
params billions
73.24
context length
4,096
pipeline tag
image-text-to-text
vram gb
57.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.