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Qwopus3.6 35b A3b Coder Opal Gguf model by el4
⭐ 47.2
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Model

Qwopus3.6 35b A3b Coder Opal Gguf

by el4 el4/qwopus3.6-35b-a3b-coder-opal-gguf
Free2AITools Nexus Index
47.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 0
R: Recency 88
Q: Quality 65
Tech Context
35 Params
4.096K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 47.2 FNI Score
35B Params
4k Context
0 Downloads
H100+ ~29GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID el4/qwopus3.6-35b-a3b-coder-opal-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~28.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{el4_qwopus3_6_35b_a3b_coder_opal_gguf,
  author = {el4},
  title = {Qwopus3.6 35b A3b Coder Opal Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/el4/Qwopus3.6-35B-A3B-Coder-OPAL-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
el4. (2026). Qwopus3.6 35b A3b Coder Opal Gguf [Model]. Free2AITools. https://huggingface.co/el4/Qwopus3.6-35B-A3B-Coder-OPAL-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwopus3.6-35b-a3b-coder-opal-gguf
πŸ€— HF Download
huggingface-cli download el4/qwopus3.6-35b-a3b-coder-opal-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 33
Popularity (P) 0
Recency (R) 88
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwopus3.6 35b A3b Coder Opal Gguf: Authority (A:33), Popularity (P:0), Recency (R:88), 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--el4--qwopus3.6-35b-a3b-coder-opal-gguf
slug
el4--qwopus3.6-35b-a3b-coder-opal-gguf
source
huggingface
author
el4
license
Apache-2.0
tags
gguf, quantized, opal, opal-mtp, moe, mixture-of-experts, qwen3, speculative-decoding, self-speculative, mtp, vlm, vision, coder, base_model:jackrong/qwopus3.6-35b-a3b-coder, license:apache-2.0, endpoints_compatible, region:us, imatrix, conversational

βš™οΈ Technical Specs

params billions
35
context length
4,096
vram gb
28.8
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.