LOADING DATASHEET
LOADING DATASHEET
by DeepSeek
RANKED #274 OF 316 ASSISTANTS · OVERALL #424 OF 493 RANKED · VIBE SCORE 5.2 · 137 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
DeepSeek reasoning model for multi-step analysis, math, coding, and tools
10 mentions
26 mentions
26 weeks · 49 voices in this window
AGING WELL
The crowd is warmer now than it was at the start.
Open weights. You can use a hosted service, or download it and run it yourself, free.
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
NVIDIA GeForce RTX 3060 12GB
12 GB VRAM
~$280 NEWQ4_K_M quant fully offloaded to VRAM with 8k context
NVIDIA GeForce RTX 4070 12GB
12 GB VRAM
~$550 NEWQ8_0 or Q4_K_M with 32k context and high throughput
NVIDIA GeForce RTX 4090 24GB
24 GB VRAM
~$1750 NEWFull FP16 unquantized precision with full 64k+ context window
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.
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.
People generally like DeepSeek R1 Qwen3 8B, with some gripes. Biggest praise: getting facts right.
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Other models the crowd has fully reviewed, starting with text models like this one.
You can now run the full DeepSeek-R1-0528 model locally!
You can now run DeepSeek-R1-0528 on your local device! (20GB RAM min.)
You can now run DeepSeek R1-0528 locally!
I benchmarked 17 local LLMs on real MCP tool calling — single-shot AND agentic loop. The difference is massive.
Dynamic 1-bit DeepSeek-R1-0528 GGUFs out now!
Gemma 3n Fine-tuning out now!
DeepSeek-R1-0528 Updated with many Fixes! (especially Tool Calling)
What local models do you use for coding?
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.
New DeepSeek-R1-0528-Qwen3 (8B) Fine-tuning GRPO notebook!
Ran DeepSeek R1 8B on my MacBook Air M2 8GB.
Deepseek-R1:8b