🧠

Model

Qwen3.5 27b Unslop Good Lora V1

Name: Qwen3.5 27b Unslop Good Lora V1
Author: Oysiyl

by Oysiyl hf-model--oysiyl--qwen3.5-27b-unslop-good-lora-v1

Free2AITools Nexus Index

41.5 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 33

R: Recency 97

Q: Quality 65

Tech Context

27.36 Params

32.768K Ctx

Vital Performance

2.4K DL / 30D

0.0%

Source →

Audited 41.5 FNI Score

27.36B Params

32k Context

2.4K Downloads

24G GPU ~23GB Est. VRAM

Dense QWEN3_5FORCONDITIONALGENERATION Architecture

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	hf-model--oysiyl--qwen3.5-27b-unslop-good-lora-v1
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~23GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__oysiyl__qwen3.5_27b_unslop_good_lora_v1,
  author = {Oysiyl},
  title = {Qwen3.5 27b Unslop Good Lora V1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Oysiyl/qwen3.5-27b-unslop-good-lora-v1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

Oysiyl. (2026). Qwen3.5 27b Unslop Good Lora V1 [Model]. Free2AITools. https://huggingface.co/Oysiyl/qwen3.5-27b-unslop-good-lora-v1

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run qwen3.5-27b-unslop-good-lora-v1

🤗 HF Download

huggingface-cli download oysiyl/qwen3.5-27b-unslop-good-lora-v1

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Authority (A) 0

Popularity (P) 33

Recency (R) 97

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Qwen3.5 27b Unslop Good Lora V1: Semantic (S:50), Authority (A:0), Popularity (P:33), Recency (R:97), 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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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

qwen3.5-27b-unslop-good-lora-v1

Unslop rewrite adapter focused on reducing hype/corporate phrasing while preserving meaning.

Model summary

Repo: Oysiyl/qwen3.5-27b-unslop-good-lora-v1
Base model: unsloth/Qwen3.5-27B
Adapter type: LoRA
Pipeline: text generation / rewrite style transfer
Current downloads (snapshot): 2150

Intended use

Rewrite AI-sounding drafts into cleaner, more natural prose.
Keep meaning and key facts intact.
Use as a post-processing layer for longform and social text cleanup.

Limitations

Can still over-rewrite some passages.
Not guaranteed to improve factual accuracy.
Should be human-reviewed for fidelity-sensitive outputs.

Evaluation notes

This card records this model as part of the Unslop family with a common quality goal: preserve meaning, reduce hype, and avoid hallucinated additions.

Usage (PEFT)

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base = "unsloth/Qwen3.5-27B"
adapter = "Oysiyl/qwen3.5-27b-unslop-good-lora-v1"

tokenizer = AutoTokenizer.from_pretrained(base, trust_remote_code=True)
base_model = AutoModelForCausalLM.from_pretrained(base, trust_remote_code=True, device_map="auto")
model = PeftModel.from_pretrained(base_model, adapter)

⚠️ 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

2.4KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 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--qwen3.5-27b-unslop-good-lora-v1
slug: oysiyl--qwen3.5-27b-unslop-good-lora-v1
source: huggingface
author: Oysiyl
license: Apache-2.0
tags: transformers, safetensors, gguf, qwen3_5, image-text-to-text, unsloth, lora, rewriting, style-transfer, unslop, text-generation, conversational, en, base_model:unsloth/qwen3.5-27b, base_model:adapter:unsloth/qwen3.5-27b, license:apache-2.0, endpoints_compatible, region:us

⚙️ Technical Specs

architecture: Qwen3_5ForConditionalGeneration
params billions: 27.36
context length: 32,768
pipeline tag: text-generation
vram gb: 23
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 2,368
stars: 0
forks: 0

Data indexed from public sources. Updated daily.