v2.2 · 2026-06-12

DeepSeek-R1-0528-Qwen3-8B

deepseek-r1-0528-qwen3-8b

REASONING

DeepSeek-R1-0528-Qwen3-8B is a 8B reasoning model profile for local AI planning. This page records provider, license, context, quantization, hardware-fit estimates, setup hints, source links, and caveats so readers do not choose a model by name alone.

PROVIDER

DeepSeek

FAMILY

DeepSeek-R1

MODEL TYPE

reasoning

PARAMETERS

MODALITIES

text

ARCHITECTURE

Dense Qwen3-based reasoning distill from DeepSeek-R1-0528

CONTEXT WINDOW

128,000 tokens

TRAINING TOKENS

—

RELEASE DATE

2025-05-28

LICENSE & LINKS

MITlicense text

MODEL CARD

huggingface.co/deepseek-ai/DeepSeek-R1-0528-Qwen3-8B

HUGGING FACE

deepseek-ai/DeepSeek-R1-0528-Qwen3-8B

GGUF REPOSITORIES

bartowski/DeepSeek-R1-0528-Qwen3-8B-GGUF community conversion

Community GGUF repository referenced by the June 2026 model research.

SETUP HINTS

OLLAMA

ollama run deepseek-r1:8b

LM STUDIO

Available according to the supplied June 2026 research; select a cited GGUF/MLX build and verify current app metadata before relying on hands-on setup guidance.

LLAMA.CPP

Use the cited GGUF repository (bartowski/DeepSeek-R1-0528-Qwen3-8B-GGUF) with current llama.cpp-compatible tooling.

QUANTIZATION FILE SIZES (GGUF)

Q4_K_M

5.03 GB

Q5_K_M

5.85 GB

Q8_0

8.71 GB

Quantization note: Q4_K_M for first local attempts unless a cited runtime recommends a different default.

RAM / VRAM ESTIMATES

MIN RAM

8 GB

COMFORTABLE RAM

16 GB

MIN VRAM

8 GB

COMFORTABLE VRAM

16 GB

These are conservative local-inference estimates, not official hardware requirements.

HARDWARE FIT

CPU only (no GPU)

limited

8 GB RAM

limited

16 GB RAM

comfortable

32 GB RAM

comfortable

8 GB VRAM

limited

12 GB VRAM

limited

24 GB VRAM

comfortable

Apple Silicon (unified memory)

comfortable

Hardware fit values are conservative local-inference estimates based on GGUF size plus runtime and KV-cache overhead. Actual requirements depend on context length, quantization, runtime, GPU offload, and other running apps.

BEST FOR

·Local reasoning, math, coding help, and explainable answers on ordinary laptops or small desktops offline.

AVOID IF

·You need neutral political analysis, very long documents, or fast chat without thinking overhead latency.

CAVEATS

·Reasoning can be slower than ordinary chat models.

·Political and China-sensitive prompts may show bias or refusal behavior.

·Long-context use can require much more memory than the model file size suggests.

·Use Q4 or Q5 for most beginner machines; Q8 is heavier.

·Commercial-use status from the supplied research: Allowed under MIT license; verify Qwen3 base-model obligations before commercial redistribution.

·Beginner summary from supplied research: DeepSeek-R1-0528-Qwen3-8B is the easiest current DeepSeek reasoning pick for normal laptops. It keeps the R1 reasoning style in an 8B Qwen3 model, with GGUF and MLX builds for private local use and simple Ollama setup.

SOURCE URLS