🧣 SnugGGUF: DeepSeek-R1-Distill-Qwen-1.5B

> Every model. Every quant. Always free. Always tested.

⚡ Quick Start

Ollama:

ollama run snuggguf/deepseek-r1-1.5b

LM Studio: Search snuggguf/DeepSeek-R1-Distill-Qwen-1.5B-GGUF in Discover → pick Q4_K_M for maximum speed.

📦 Available Quants

| Quant | Size | Tested |

|-------|------|--------|

| Q4_K_M | ~1.0 GB | ✅ Verified locally with Ollama |

More quants (Q5_K_M, Q6_K) coming soon.

✅ Verification

GGUF magic bytes verified during conversion ✅
File size integrity confirmed ✅
Local Ollama inference test passed ✅
Runs 100% offline — no internet required ✅

🧠 About This Model

This is a distilled version of DeepSeek-R1, optimized for local reasoning tasks. It's incredibly fast and fits easily on most hardware, making it perfect for quick logic checks and coding assistance.

🐾 About SnugGGUF

SnugGGUF quantizes every major open model — Qwen, DeepSeek, Mistral, Llama, Gemma, GLM, Nemotron, Kimi, gpt-oss and more.

Every file is inference-tested before going public. No broken quants. Ever.

View all SnugGGUF models →

Question 2

What license applies to snuggguf/DeepSeek-R1-Distill-Qwen-1.5B-GGUF?

Accepted Answer

License: apache-2.0. Verify terms on Hugging Face before commercial use.

Question 3

How do I run snuggguf/DeepSeek-R1-Distill-Qwen-1.5B-GGUF locally?

Accepted Answer

Download a GGUF file from this page and load it in guIDE or llama.cpp. Pipeline task: text-generation.

Question 4

How much VRAM or disk space does snuggguf/DeepSeek-R1-Distill-Qwen-1.5B-GGUF need?

Accepted Answer

Runs locally from ~1.04 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

snuggguf/DeepSeek-R1-Distill-Qwen-1.5B-GGUF overview

Repository Files & Downloads

Model Details

Model README