🧠
Model

Gemma 4 31b It Claude Opus Distill V2 Mxfp8 Mlx

by nightmedia hf-model--nightmedia--gemma-4-31b-it-claude-opus-distill-v2-mxfp8-mlx
Nexus Index
39.7 Top 4%
S: Semantic 50
A: Authority 0
P: Popularity 17
R: Recency 97
Q: Quality 65
Tech Context
9.21 Params
8.192K Ctx
Vital Performance
341 DL / 30D
0.0%
Audited 39.7 FNI Score
9.21B Params
8k Context
Hot 341 Downloads
24G GPU ~9GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--nightmedia--gemma-4-31b-it-claude-opus-distill-v2-mxfp8-mlx
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~8.2GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__nightmedia__gemma_4_31b_it_claude_opus_distill_v2_mxfp8_mlx,
  author = {nightmedia},
  title = {Gemma 4 31b It Claude Opus Distill V2 Mxfp8 Mlx Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/nightmedia/gemma-4-31B-it-Claude-Opus-Distill-v2-mxfp8-mlx}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
nightmedia. (2026). Gemma 4 31b It Claude Opus Distill V2 Mxfp8 Mlx [Model]. Free2AITools. https://huggingface.co/nightmedia/gemma-4-31B-it-Claude-Opus-Distill-v2-mxfp8-mlx

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run gemma-4-31b-it-claude-opus-distill-v2-mxfp8-mlx
🤗 HF Download
huggingface-cli download nightmedia/gemma-4-31b-it-claude-opus-distill-v2-mxfp8-mlx

âš–ī¸ Nexus Index V2.0

39.7
TOP 4% 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 Gemma 4 31b It Claude Opus Distill V2 Mxfp8 Mlx: 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
---

🚀 What's Next?

Technical Deep Dive

gemma-4-31B-it-Claude-Opus-Distill-v2-mxfp8-mlx

Brainwaves

brainwaves
         arc   arc/e boolq hswag obkqa piqa  wino
mxfp8    0.532,0.667,0.900,0.694,0.384,0.765,0.676

         Perplexity      Peak memory  Tokens/sec
mxfp8    11.160 Âą 0.124  39.69 GB     170

Previous version
mxfp8    0.540,0.708,0.891,0.733,0.434,0.788,0.686

         Perplexity      Peak memory  Tokens/sec
mxfp8    32.665 Âą 0.472  39.54 GB     146

Base model
gemma-4-31B-it
qx86-hi  0.496,0.653,0.901,0.624,0.380,0.732,0.653

Previous model
gemma-3-27b-it-heretic
q8       0.557,0.711,0.868,0.533,0.452,0.706,0.695

Similar models

brainwaves
         arc   arc/e boolq hswag obkqa piqa  wino
DavidAU/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking
Instruct
mxfp8    0.583,0.747,0.894,0.734,0.430,0.787,0.719

DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
qx86-hi  0.431,0.505,0.426,0.670,0.376,0.766,0.710

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.
Top Tier

Social Proof

HuggingFace Hub
341Downloads
🔄 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--nightmedia--gemma-4-31b-it-claude-opus-distill-v2-mxfp8-mlx
slug
nightmedia--gemma-4-31b-it-claude-opus-distill-v2-mxfp8-mlx
source
huggingface
author
nightmedia
license
Apache-2.0
tags
mlx, safetensors, gemma4, nightmedia, gemma, google, deckard(qx), image-text-to-text, conversational, license:apache-2.0, 8-bit, region:us

âš™ī¸ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
9.21
context length
8,192
pipeline tag
image-text-to-text
vram gb
8.2
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
341
stars
0
forks
0

Data indexed from public sources. Updated daily.