🧠
Model

Gemma 4 31b Unslop Good Lora V2 Full

by Oysiyl hf-model--oysiyl--gemma-4-31b-unslop-good-lora-v2-full
Free2AITools Nexus Index
39.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 14
R: Recency 97
Q: Quality 65
Tech Context
32.68 Params
8.192K Ctx
Vital Performance
225 DL / 30D
0.0%
Audited 39.3 FNI Score
32.68B Params
8k Context
225 Downloads
H100+ ~27GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--oysiyl--gemma-4-31b-unslop-good-lora-v2-full
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~27GB VRAM

Interactive
Analyze Hardware

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__oysiyl__gemma_4_31b_unslop_good_lora_v2_full,
  author = {Oysiyl},
  title = {Gemma 4 31b Unslop Good Lora V2 Full Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Oysiyl/gemma-4-31b-unslop-good-lora-v2-full}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Oysiyl. (2026). Gemma 4 31b Unslop Good Lora V2 Full [Model]. Free2AITools. https://huggingface.co/Oysiyl/gemma-4-31b-unslop-good-lora-v2-full

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run
ollama run gemma-4-31b-unslop-good-lora-v2-full
🤗 HF Download
huggingface-cli download oysiyl/gemma-4-31b-unslop-good-lora-v2-full
📦 Install Lib
pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Semantic (S) 50
Authority (A) 0
Popularity (P) 14
Recency (R) 97
Quality (Q) 65

💬 Index Insight

FNI V2.0 for Gemma 4 31b Unslop Good Lora V2 Full: Semantic (S:50), Authority (A:0), Popularity (P:14), 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-unslop-good-lora-v2-full

  • Developed by: Oysiyl
  • Base model: unsloth/gemma-4-31B-it
  • Dataset: N8Programs/unslop-good (full train split)
  • Training stack: Unsloth + TRL (SFTTrainer, response-only masking)
  • Output type: merged full weights (fp16-style merged artifacts)

Training configuration (run: 69d9faf6cd8c002f31df81c4)

  • max_seq_length: 8192
  • epochs: 1
  • batch_size: 1
  • grad_accumulation: 4
  • learning_rate: 1e-4
  • warmup_steps: 10
  • scheduler: cosine
  • LoRA: r=8, alpha=8, dropout=0.0

Normalized training loss

Gemma-4-31B training loss vs normalized progress

  • max_steps: 250
  • observed points: 250
  • first loss: 3.0173 (step 1)
  • last loss: 2.0200 (step 250)

Long-form inference example

Input:

text
The wind rose all at once, as if the mountain itself had inhaled. She stood at the edge of the pass, cloak snapping like a torn banner behind her, staring down at the valley where the last lights were going out one by one. Each flame extinguished felt deliberate—an answer to a question she had been too afraid to ask. Somewhere below, bells began to ring, not in warning, but in mourning. They already knew. ‘Don’t,’ he said, breathless, reaching for her arm. His fingers brushed fabric, then air. ‘If you cross that line, there’s no coming back.’ She didn’t turn. The cold burned her lungs, sharpened her thoughts. ‘There was never a way back,’ she replied softly. ‘Only a way forward you were willing to pretend didn’t exist.’ Thunder rolled, low and ancient. For a moment, the sky fractured into white fire, and in that instant he saw her face—resolved, terrified, incandescent with purpose. Not the girl he had sworn to protect, but the woman the world had demanded she become. ‘You’ll die,’ he said. She smiled then, finally facing him, eyes bright with unshed tears. ‘So will everyone,’ she answered. ‘The difference is what we leave burning when we’re gone.’ She stepped forward. The mountain exhaled.

Output:

text
The wind surged suddenly, as though the mountain had drawn a breath. At the edge of the pass, her cloak snapped behind her like a tattered flag. Below, the last lights of the valley flickered out one by one; each extinguished flame felt intentional, an answer to a question she hadn't dared to voice. Then came the bells, tolling not for alarm, but for grief. They knew.

"Don't," he gasped, lunging for her arm. His fingers caught cloth, then empty air. "If you cross that line, you can't come back."

She didn't look at him. The freezing air seared her lungs, clearing her mind. "There was never a way back," she said quietly. "Just a path forward you chose to ignore."

A low, ancient thunder rumbled. A flash of white fire split the sky, illuminating her face for a heartbeat—determined, frightened, alight with resolve. This wasn't the girl he had promised to shield, but the woman the world had forced her to be.

"You'll die," he said.

She turned to him then, smiling through eyes shimmering with unshed tears. "We all will," she replied. "The only thing that matters is what we leave burning."

She stepped forward. The mountain breathed out.

⚠️ 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

  • Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • 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
225Downloads
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--oysiyl--gemma-4-31b-unslop-good-lora-v2-full
slug
oysiyl--gemma-4-31b-unslop-good-lora-v2-full
source
huggingface
author
Oysiyl
license
Apache-2.0
tags
transformers, safetensors, gemma4, image-text-to-text, text-generation-inference, unsloth, rewrite, lora, conversational, en, base_model:unsloth/gemma-4-31b-it, base_model:adapter:unsloth/gemma-4-31b-it, license:apache-2.0, endpoints_compatible, region:us

⚙️ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
32.68
context length
8,192
pipeline tag
image-text-to-text
vram gb
27
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
225
stars
0
forks
0

Data indexed from public sources. Updated daily.