What GPU do I need to run deepseek-ai/deepseek-coder-6.7b-base?
6.7B parameters, published in BF16. View on Hugging Face
Set up deepseek-coder-6.7b-basedeepseek-coder-6.7b-base is published by deepseek-ai on Hugging Face, with 69,623 downloads and 126 likes to date. It's a LlamaForCausalLM model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 12.6 GB | 15.1 GB | RTX 5060 Ti | 1 | $0.110/hr |
| FP8 (quantized) | 6.3 GB | 7.5 GB | RTX 5060 Ti | 1 | $0.110/hr |
| INT4 (quantized) | 3.1 GB | 3.8 GB | RTX 5060 Ti | 1 | $0.110/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run deepseek-coder-6.7b-base at its published (BF16) precision: 1× RTX 5060 Ti, at $0.110/hr per GPU ($0.110/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
deepseek-coder-6.7b-base: common questions
Does deepseek-coder-6.7b-base fit on a 16 GB GPU?
Yes. At BF16 it needs 15.1 GB of VRAM, so a 16 GB card holds it with 0.9 GB to spare. A 12 GB card is not enough for it at BF16.
What is the least VRAM deepseek-coder-6.7b-base can run in?
3.8 GB, at INT4 (quantized), which fits a 6 GB card, against 15.1 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More DeepSeek Coder models
- deepseek-coder-6.7b-instruct (6.7B, BF16)
- deepseek-coder-7b-instruct-v1.5 (6.9B, BF16)
- deepseek-coder-1.3b-instruct (1.3B, BF16)
- DeepSeek-Coder-V2-Lite-Instruct (15.7B, BF16)
- DeepSeek-Coder-V2-Lite-Instruct-FP8 (15.7B, F8_E4M3)
Related reading: H100 pricing and specs, The best GPUs for AI, ranked, and Best GPU for LLM inference.
