🧠
Model

Mlx Qwopus3.5 27b V3 Vision 4bit

by Matt Here hf-model--matt-here--mlx-qwopus3.5-27b-v3-vision-4bit
Nexus Index
39.2 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 17
R: Recency 97
Q: Quality 65
Tech Context
27 Params
4.096K Ctx
Vital Performance
329 DL / 30D
0.0%
Audited 39.2 FNI Score
27B Params
4k Context
329 Downloads
24G GPU ~22GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--matt-here--mlx-qwopus3.5-27b-v3-vision-4bit
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~21.6GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__matt_here__mlx_qwopus3.5_27b_v3_vision_4bit,
  author = {Matt Here},
  title = {Mlx Qwopus3.5 27b V3 Vision 4bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/matt-here/mlx-qwopus3.5-27b-v3-vision-4bit}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Matt Here. (2026). Mlx Qwopus3.5 27b V3 Vision 4bit [Model]. Free2AITools. https://huggingface.co/matt-here/mlx-qwopus3.5-27b-v3-vision-4bit

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run mlx-qwopus3.5-27b-v3-vision-4bit
🤗 HF Download
huggingface-cli download matt-here/mlx-qwopus3.5-27b-v3-vision-4bit

âš–ī¸ Nexus Index V2.0

39.2
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 17
Recency (R) 97
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Mlx Qwopus3.5 27b V3 Vision 4bit: Semantic (S:50), Authority (A:0), Popularity (P:17), Recency (R:97), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

MLX-Qwopus3.5-27B-v3-vision-4bit

A 4-bit MLX quantization of Jackrong/Qwopus3.5-27B-v3 with a few tweaks to restore the multimodal capabilities.

Supports {%- set enable_thinking = false %} Jinja variable.

Update [2026-04-12]: Refined the chat template to further improve stability for long-running tasks and tool use; mitigated an issue where incorrect think tag formatting could leak from a distillation dataset.


Quantization Details

Property Value
Method 4-bit (4.695 bits per weight)
Tool mlx-vlm 0.4.2 via mlx-vlm.convert
Size ~16.1GB

Other Available Quants

Model Size Quantization Bits per weight Multimodal
Jackrong/MLX-Qwopus3.5-27B-v3-4bit 15.15 GB 4-bit 4.501 ✗
(This model) 16.08 GB 4-bit 4.695 ✓ (Vision)
matt-here/MLX-Qwopus3.5-27B-v3-5bit 18.56 GB 5-bit 5.501 ✗
matt-here/MLX-Qwopus3.5-27B-v3-vision-5bit 19.46 GB 5-bit 5.678 ✓ (Vision)
Jackrong/MLX-Qwopus3.5-27B-v3-6bit 21.88 GB 6-bit 6.501 ✗
matt-here/MLX-Qwopus3.5-27B-v3-vision-6bit 22.85 GB 6-bit 6.661 ✓ (Vision)
Jackrong/MLX-Qwopus3.5-27B-v3-bf16 53.81 GB bf16 16 ✗

GGUF quants - Jackrong/Qwopus3.5-27B-v3-GGUF


Credits

âš 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
329Downloads
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--matt-here--mlx-qwopus3.5-27b-v3-vision-4bit
slug
matt-here--mlx-qwopus3.5-27b-v3-vision-4bit
source
huggingface
author
Matt Here
license
Apache-2.0
tags
mlx, safetensors, qwen3_5, unsloth, qwen, qwen3.5, reasoning, chain-of-thought, lora, competitive-programming, image-text-to-text, conversational, en, zh, ko, base_model:jackrong/qwopus3.5-27b-v3, base_model:adapter:jackrong/qwopus3.5-27b-v3, license:apache-2.0, 4-bit, region:us

âš™ī¸ Technical Specs

architecture
null
params billions
27
context length
4,096
pipeline tag
image-text-to-text
vram gb
21.6
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
329
stars
0
forks
0

Data indexed from public sources. Updated daily.