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Qwen3.5-27B Claude-4.6 Opus Reasoning Distilled

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Start Setup Guide View on HuggingFace
27B
Parameters
100%
Free Forever
Zero
Data Sent to Cloud
Offline
Works Without Internet

Target Model

The specific model you want to run locally on your machine

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
Jackrong MIT License Trending

A distilled variant of Qwen3.5 with 27 billion parameters, enhanced with reasoning capabilities inspired by Claude-4.6 Opus. This model offers exceptional performance in coding, mathematics, and complex reasoning tasks while being optimized for local deployment on consumer hardware.

Parameters
27 Billion
VRAM Required
16-24 GB
Disk Space
~54 GB (FP16)
Quantization
Q4_K_M, Q5_K_M, Q8_0
Architecture
Qwen3.5 (Transformer)
Languages
Multilingual
Recommended GPU Memory for Different Quantizations
Q4_K_M ~8GB
Q5_K_M ~10GB
Q8_0 ~16GB
Documentation

Step-by-Step Setup Guide

Follow these steps to get your model running locally

1
Install Ollama (Recommended for Beginners)

Ollama is the easiest way to run LLMs locally. It handles model management, GPU acceleration, and provides a simple API.

Windows PowerShell 
# Download from https://ollama.com/download
# Or use winget
winget install Ollama.Ollama

# Verify installation
ollama --version
2
Alternative: Install LM Studio

LM Studio provides a beautiful GUI for running LLMs. Perfect if you prefer a visual interface over command line.

Download 
# Download from: https://lmstudio.ai
# Or use:
winget install ElementLabs.LMStudio

# Features:
# - One-click model downloads
# - Built-in chat interface
# - Local API server
# - GPU/CPU fallback
3
Download the Model (GGUF Format)

Download the quantized GGUF file. Q4_K_M offers the best balance of quality and speed for most GPUs. </