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Qwen3.5 9b Deepseek V4 Flash Gguf model by Jackrong
⭐ 61
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Model

Qwen3.5 9b Deepseek V4 Flash Gguf

by Jackrong jackrong/qwen3.5-9b-deepseek-v4-flash-gguf
Free2AITools Nexus Index
61.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 55
P: Popularity 58
R: Recency 94
Q: Quality 65
Tech Context
9 Params
4.096K Ctx
Vital Performance
105.1K DL / 30D
Source β†’
Low FNI signal 61 FNI Score
9B Params
4k Context
Hot 105.1K Downloads
24G GPU ~9GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID jackrong/qwen3.5-9b-deepseek-v4-flash-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{jackrong_qwen3_5_9b_deepseek_v4_flash_gguf,
  author = {Jackrong},
  title = {Qwen3.5 9b Deepseek V4 Flash Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
Jackrong. (2026). Qwen3.5 9b Deepseek V4 Flash Gguf [Model]. Free2AITools. https://huggingface.co/Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.5-9b-deepseek-v4-flash-gguf
πŸ€— HF Download
huggingface-cli download jackrong/qwen3.5-9b-deepseek-v4-flash-gguf
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) 55
Popularity (P) 58
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.5 9b Deepseek V4 Flash Gguf: Authority (A:55), Popularity (P:58), Recency (R:94), 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.

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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
105.1KDownloads
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--jackrong--qwen3.5-9b-deepseek-v4-flash-gguf
slug
jackrong--qwen3.5-9b-deepseek-v4-flash-gguf
source
huggingface
author
Jackrong
license
Apache-2.0
tags
transformers, gguf, text-generation-inference, unsloth, qwen3_5, reasoning, distillation, deepseek, deepseek-v4, sft, long-cot, chain-of-thought, efficient-inference, agent, multilingual, image-text-to-text, en, zh, ko, ja, es, ru, dataset:jackrong/deepseek-v4-distill-8000x, arxiv:2604.06628, base_model:unsloth/qwen3.5-9b, base_model:quantized:unsloth/qwen3.5-9b, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
9
context length
4,096
pipeline tag
image-text-to-text
vram gb
8.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
105,124
stars
null
forks
null

Data indexed from public sources. Updated daily.