🧠
Qwen3.5 2b Functioncall model by guohaoli2000
⭐ 35.5
🧠
Model

Qwen3.5 2b Functioncall

by guohaoli2000 hf-model--guohaoli2000--qwen3.5-2b-functioncall
Nexus Index
35.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 5
R: Recency 98
Q: Quality 30
Tech Context
2 Params
4.096K Ctx
Vital Performance
48 DL / 30D
0.0%
Source →
Audited 35.5 FNI Score
Tiny 2B Params
4k Context
48 Downloads
8G GPU ~3GB Est. VRAM
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--guohaoli2000--qwen3.5-2b-functioncall
License MIT
Provider huggingface
💾

Compute Threshold

~2.8GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__guohaoli2000__qwen3.5_2b_functioncall,
  author = {guohaoli2000},
  title = {Qwen3.5 2b Functioncall Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/guohaoli2000/qwen3.5-2b-functioncall}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
guohaoli2000. (2026). Qwen3.5 2b Functioncall [Model]. Free2AITools. https://huggingface.co/guohaoli2000/qwen3.5-2b-functioncall

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3.5-2b-functioncall
🤗 HF Download
huggingface-cli download guohaoli2000/qwen3.5-2b-functioncall

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
35.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 5
Recency (R) 98
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3.5 2b Functioncall: Semantic (S:50), Authority (A:0), Popularity (P:5), Recency (R:98), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

Qwen3.5-2B-FunctionCall : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: llama-cli -hf guohaoli2000/Qwen3.5-2B-FunctionCall --jinja
  • For multimodal models: llama-mtmd-cli -hf guohaoli2000/Qwen3.5-2B-FunctionCall --jinja

Available Model files:

  • Qwen3.5-2B.Q4_K_M.gguf
  • Qwen3.5-2B.BF16-mmproj.gguf This was trained 2x faster with Unsloth

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
48Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--guohaoli2000--qwen3.5-2b-functioncall
slug
guohaoli2000--qwen3.5-2b-functioncall
source
huggingface
author
guohaoli2000
license
MIT
tags
gguf, qwen3_5, llama.cpp, unsloth, vision-language-model, endpoints_compatible, region:us, conversational, license:mit

⚙ī¸ Technical Specs

architecture
null
params billions
2
context length
4,096
pipeline tag
vram gb
2.8
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
48
stars
0
forks
0

Data indexed from public sources. Updated daily.