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Qwen3.5 0.8b Gguf model by Smallthrow22
⭐ 36.8
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Model

Qwen3.5 0.8b Gguf

by Smallthrow22 smallthrow22/qwen3.5-0.8b-gguf
Free2AITools Nexus Index
36.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 32
R: Recency 74
Q: Quality 50
Tech Context
0.8B Params
4.096K Ctx
Vital Performance
2.1K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 36.8 FNI Score
Tiny 0.8B Params
4k Context
2.1K Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID smallthrow22/qwen3.5-0.8b-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{smallthrow22_qwen3_5_0_8b_gguf,
  author = {Smallthrow22},
  title = {Qwen3.5 0.8b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Smallthrow22/Qwen3.5-0.8B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
Smallthrow22. (2026). Qwen3.5 0.8b Gguf [Model]. Free2AITools. https://huggingface.co/Smallthrow22/Qwen3.5-0.8B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.5-0.8b-gguf
πŸ€— HF Download
huggingface-cli download smallthrow22/qwen3.5-0.8b-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) 0
Popularity (P) 32
Recency (R) 74
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.5 0.8b Gguf: Authority (A:0), Popularity (P:32), Recency (R:74), 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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πŸš€ What's Next?

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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
2.1KDownloads
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--smallthrow22--qwen3.5-0.8b-gguf
slug
smallthrow22--qwen3.5-0.8b-gguf
source
huggingface
author
Smallthrow22
license
Apache-2.0
tags
transformers, gguf, unsloth, image-text-to-text, base_model:qwen/qwen3.5-0.8b, base_model:quantized:qwen/qwen3.5-0.8b, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
0.8
context length
4,096
pipeline tag
image-text-to-text
vram gb
1.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,066
stars
0
forks
0

Data indexed from public sources. Updated daily.