🧠
Gemopus 4 26b A4b It Mlx 5bit Affine model by zecanard
⭐ 37.7
🧠
Model

Gemopus 4 26b A4b It Mlx 5bit Affine

by zecanard hf-model--zecanard--gemopus-4-26b-a4b-it-mlx-5bit-affine
Nexus Index
37.7 Top 10%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 98
Q: Quality 65
Tech Context
6.12 Params
8.192K Ctx
Vital Performance
0 DL / 30D
0.0%
Source β†’
Audited 37.7 FNI Score
6.12B Params
8k Context
0 Downloads
8G GPU ~6GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--zecanard--gemopus-4-26b-a4b-it-mlx-5bit-affine
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.9GB VRAM

Interactive
Analyze Hardware
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__zecanard__gemopus_4_26b_a4b_it_mlx_5bit_affine,
  author = {zecanard},
  title = {Gemopus 4 26b A4b It Mlx 5bit Affine Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/zecanard/Gemopus-4-26B-A4B-it-MLX-5bit-affine}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
zecanard. (2026). Gemopus 4 26b A4b It Mlx 5bit Affine [Model]. Free2AITools. https://huggingface.co/zecanard/Gemopus-4-26B-A4B-it-MLX-5bit-affine

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemopus-4-26b-a4b-it-mlx-5bit-affine
πŸ€— HF Download
huggingface-cli download zecanard/gemopus-4-26b-a4b-it-mlx-5bit-affine

βš–οΈ Nexus Index V2.0

Methodology Index Protocol
37.7
TOP 10% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemopus 4 26b A4b It Mlx 5bit Affine: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

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

πŸ“Š

Find Training Datasets

Discover datasets compatible with this model

πŸ“ˆ

Compare Benchmarks

See how this model ranks on standard tests

⚑

Deployment Guide

Understand deployment options

Technical Deep Dive

πŸ¦† zecanard/Gemopus-4-26B-A4B-it-MLX-5bit-affine

This model was converted to MLX from Jackrong/Gemopus-4-26B-A4B-it using mlx-vlm version 0.4.4. Please refer to the original model card for more details.

🌟 Quality

Quantized language model with an effective 6.280 bits per weight.

mlx_vlm.convert --quantize --q-group-size 32 --q-bits 5 --q-mode affine

πŸ› οΈ Customizations

This quant is aware of the current date, and also enables thinking (if available). You may disable this behavior by deleting the following line from the chat template:

{%- set enable_thinking = true %}

You may also need to adjust your environment’s Reasoning Section Parsing to recognize <|channel>thought as the Start String, and <channel|> as the End String.

πŸ–₯️ Use with `mlx`

bash 
pip install -U mlx-vlm
bash 
mlx_vlm.generate --model zecanard/Gemopus-4-26B-A4B-it-MLX-5bit-affine --max-tokens 100 --temperature 0 --prompt "Describe this image." --image

⚠️ 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.
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Daily sync (03:00 UTC)

AI 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--zecanard--gemopus-4-26b-a4b-it-mlx-5bit-affine
slug
zecanard--gemopus-4-26b-a4b-it-mlx-5bit-affine
source
huggingface
author
zecanard
license
Apache-2.0
tags
mlx, safetensors, gemma4, gemma, instruction-tuned, reasoning, alignment, text-generation, conversational, en, zh, ko, ja, base_model:jackrong/gemopus-4-26b-a4b-it, license:apache-2.0, 5-bit, region:us

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
6.12
context length
8,192
pipeline tag
text-generation
vram gb
5.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.