LOADING DATASHEET
GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
DeepSeek R1 Qwen3 8B
◆ OPEN
by DeepSeek
OPEN WEIGHTSLOCALAPIREASONING
RANKED #206 OF 265 ASSISTANTS · OVERALL #323 OF 6,571 · VIBE SCORE 5.4 · 88 VOICES
DeepSeek reasoning model for multi-step analysis, math, coding, and tools
HAPPY7.6
9 mentions
SAD7.4
21 mentions
VIBE TRAJECTORY
26 weeks · 34 voices
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download DeepSeek R1 Qwen3 8B once and it's yours. No subscription, no rate limits, works offline.
8B parameters, a Q4_K_M GGUF is about 4.9 GB, while FP16 requires 16 GB
- BARE MINIMUM
NVIDIA GeForce RTX 3060 12GB
12 GB VRAM
~$280 NEWQ4_K_M quant fully offloaded to VRAM with 8k context
- SWEET SPOT
NVIDIA GeForce RTX 4070 12GB
12 GB VRAM
~$550 NEWQ8_0 or Q4_K_M with 32k context and high throughput
- FULL POWER
NVIDIA GeForce RTX 4090 24GB
24 GB VRAM
~$1750 NEWFull FP16 unquantized precision with full 64k+ context window
LEARN HOW TO SET IT UP
WILL MY BOX RUN DEEPSEEK R1 QWEN3 8B?
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long DeepSeek R1 Qwen3 8B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3060 12GB | SWEET SPOTNVIDIA GeForce RTX 4070 12GB | FULL POWERNVIDIA GeForce RTX 4090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~14 S | ~7 S | ~4 S |
| Summarize a documenta long report boiled down to the points that matter | ~43 S★★★★★ | ~20 S★★★★★ | ~13 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3.8 MIN★★★★★ | ~1.8 MIN★★★★★ | ~70 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~12 MIN★★★★★ | ~5.6 MIN★★★★★ | ~3.6 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~7.1 MIN★★★★★ | ~3.3 MIN★★★★★ | ~2.2 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
WHAT THE INTERNET SAYS
People generally like DeepSeek R1 Qwen3 8B, with some gripes. Biggest praise: getting facts right.
67 POSTS · 21 COMMENTS · REDDIT · BLUESKY · LEMMY · X · GITHUB · HACKER NEWS
PEOPLE LOVE
- Usually gives correct answers (2 mentions)
PEOPLE COMPLAIN ABOUT
- Sometimes makes things up (1 mentions)
TOPIC BY TOPIC
- Getting facts rightMOSTLY POSITIVE
2 thumbs up · 1 thumbs down
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
> SOURCES (12)
- REDDIT · 2025-05-30 · 355 UPVOTESYou can now run the full DeepSeek-R1-0528 model locally!
You can now run the full DeepSeek-R1-0528 model locally!
- REDDIT · 2025-05-30 · 343 UPVOTESYou can now run DeepSeek-R1-0528 on your local device! (20GB RAM min.)
You can now run DeepSeek-R1-0528 on your local device! (20GB RAM min.)
- REDDIT · 2025-05-30 · 111 UPVOTESYou can now run DeepSeek R1-0528 locally!
You can now run DeepSeek R1-0528 locally!
- REDDIT · 2026-02-23 · 96 UPVOTESI benchmarked 17 local LLMs on real MCP tool calling — single-shot AND agentic loop. The difference is massive.
I benchmarked 17 local LLMs on real MCP tool calling — single-shot AND agentic loop. The difference is massive.
- REDDIT · 2025-05-30 · 85 UPVOTESDynamic 1-bit DeepSeek-R1-0528 GGUFs out now!
Hey guys sorry for the wait, but now you can now run DeepSeek-R1-0528 with our Dynamic 1-bit GGUFs! We shrank the full 715GB model to just 185GB (-75% size). We achieve optimal accuracy by selectively quantizing layers. Deep
- REDDIT · 2025-07-01 · 61 UPVOTESGemma 3n Fine-tuning out now!
Here it is guys (you'll need to enable audio and vision as it uses a lot more VRAM)! [
- REDDIT · 2025-06-11 · 51 UPVOTESDeepSeek-R1-0528 Updated with many Fixes! (especially Tool Calling)
Hey guys! We updated BOTH the full R1-0528 and Qwen3-8B distill models with multiple updates to improve accuracy and usage even more! The biggest change you will see will be for tool calling which is massively improved. This is both for GGUF and safetensor…
- REDDIT · 2025-11-01 · 48 UPVOTESWhat local models do you use for coding?
What local models do you use for coding?
- REDDIT · 2025-05-29 · 46 UPVOTESdeepseek-r1-0528-qwen3-8b is here! As a part of their new model release, @deepseek_ai shared a small (8B) version trained using CoT from…
deepseek-r1-0528-qwen3-8b is here! As a part of their new model release, @deepseek_ai shared a small (8B) version trained using CoT from the bigger model. Available now on LM Studio. Requires at least 4GB RAM.
- REDDIT · 2025-06-06 · 46 UPVOTESNew DeepSeek-R1-0528-Qwen3 (8B) Fine-tuning GRPO notebook!
To fine-tune DeepSeek-R1-0528-Qwen3-8B using Unsloth, we’ve made a new GRPO notebook featuring a custom reward function designed to significantly enhance multilingual output - specifically increasing the rate of desired language responses (Indonesian) from…
- REDDIT · 2026-06-16 · 38 UPVOTESRan DeepSeek R1 8B on my MacBook Air M2 8GB.
Ran DeepSeek R1 8B on my MacBook Air M2 8GB.
- REDDIT · 2025-01-27 · 36 UPVOTESDeepseek-R1:8b
Deepseek-R1:8b