Run Full Kimi K3 with 29 GB of RAM
Details
- External ID
- 49106591
- Source
- HN
- Company
- —
- Product
- Run Full Kimi K3 with 29 GB of RAM
- Website domain
- github.com
- Launched
- July 30, 2026
- Cohort
- —
- Upvotes
- 9
- Upvotes percentile
- 0.505973715651135
- Tags
- —
- Fetched at
- Sept. 10, 2026, 5:32 a.m.
- Updated at
- Sept. 10, 2026, 5:32 a.m.
Enrichment
- Theme
- systems tools and desktop utilities
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- run kimi k3 model on limited ram
- Manually corrected
- False
Could you build this?
No Fitting a massive Mixture-of-Experts LLM like Kimi K3 into just 29 GB of RAM requires cutting-edge model quantization, expert offloading, and custom low-bit weight dequantization kernels.
What it would actually take: This requires low-level C++ or CUDA/Metal systems engineering leveraging extreme quantization techniques (such as 2-bit/3-bit K-quants or dynamic expert pruning) and asynchronous memory-mapped disk/RAM paging to dynamically load only active MoE experts per token. It relies on custom hardware-specific SIMD/tensor core instructions to prevent token throughput from collapsing while swapping gigabytes of sparse weights. Achieving usable tokens-per-second under this memory constraint requires deep expertise in LLM inference architecture and GPU memory subsystems.
Discussion
2 comments analyzed.
Competitors mentioned: OpenRouter, ONNX runtime
Concerns raised: Performance drop from running on personal PC vs full version, Memory constraints and quantization tradeoffs affecting model quality, Tradeoff between model size and quality
Competitors
Other products that read as similar to this one — 125 launches clear the similarity bar, closest 8 shown.
Attention rank: #59 of 126 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 265 days after the earliest competitor.
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- Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s · hn · 2026-09-01 · 240 upvotes · similarity 0.43
Other launches for this product
- No other launches for this product.
Same idea, different domain
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