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Qwopus3.5 4b Coder Mtp Gguf model by Jackrong
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Model

Qwopus3.5 4b Coder Mtp Gguf

by Jackrong jackrong/qwopus3.5-4b-coder-mtp-gguf
Free2AITools Nexus Index
57.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 44
R: Recency 88
Q: Quality 65
Tech Context
4 Params
4.096K Ctx
Vital Performance
10.1K DL / 30D
Source β†’
Low FNI signal 57 FNI Score
4B Params
4k Context
10.1K Downloads
8G GPU ~5GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID jackrong/qwopus3.5-4b-coder-mtp-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{jackrong_qwopus3_5_4b_coder_mtp_gguf,
  author = {Jackrong},
  title = {Qwopus3.5 4b Coder Mtp Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Jackrong/Qwopus3.5-4B-Coder-MTP-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
Jackrong. (2026). Qwopus3.5 4b Coder Mtp Gguf [Model]. Free2AITools. https://huggingface.co/Jackrong/Qwopus3.5-4B-Coder-MTP-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwopus3.5-4b-coder-mtp-gguf
πŸ€— HF Download
huggingface-cli download jackrong/qwopus3.5-4b-coder-mtp-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) 51
Popularity (P) 44
Recency (R) 88
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwopus3.5 4b Coder Mtp Gguf: Authority (A:51), Popularity (P:44), 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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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
10.1KDownloads
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--qwopus3.5-4b-coder-mtp-gguf
slug
jackrong--qwopus3.5-4b-coder-mtp-gguf
source
huggingface
author
Jackrong
license
Apache-2.0
tags
transformers, gguf, llama.cpp, image-text-to-text, vision, multimodal, text-generation-inference, unsloth, qwen3_5, reasoning, chain-of-thought, mtp, multi-token-prediction, speculative-decoding, lora, sft, agent, tool-use, function-calling, coder, conversational, rl, en, zh, es, ru, ja, dataset:lambda/hermes-agent-reasoning-traces, base_model:qwen/qwen3.5-4b, base_model:adapter:qwen/qwen3.5-4b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
null
params billions
4
context length
4,096
pipeline tag
image-text-to-text
vram gb
4.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
10,148
stars
null
forks
null

Data indexed from public sources. Updated daily.