Can I Run BitNet b1.58 on NVIDIA GeForce RTX 5060 Ti 8GB?

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Written by Jakub Rusinowski · Last updated July 12, 2026

Yes, comfortably — BitNet b1.58 3B at 1.58-bit needs 2.3 GB at 8K context (0.7 GB weights + 1.6 GB KV cache/overhead), leaving ~5.7 GB of the NVIDIA GeForce RTX 5060 Ti 8GB's 8 GB, at ~196 tok/s (est.).

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NVIDIA GeForce RTX 5060 Ti 8GB

8 GB VRAM · 180 W board power

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NVIDIA GeForce RTX 5060 Ti 8GB Specs

VRAM	8 GB
Memory Bandwidth	448 GB/s

BitNet b1.58 3B on the NVIDIA GeForce RTX 5060 Ti 8GB: VRAM by quantization

Quant	VRAM needed	Fits 8 GB?	Max context	Whole PC
F16	8.3 GB	✗ No	—	—
Q8_0	5.2 GB	✓ Yes	—	—
Q6_K	4.4 GB	✓ Yes	—	—
Q5_K_M	4 GB	✓ Yes	—	—
Q4_K_M	3.7 GB	✓ Yes	—	—
Q3_K_M	3.1 GB	✓ Yes	—	—
Q2_K	2.8 GB	✓ Yes	—	—

Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

No compatible GPU? BitNet b1.58 3B on 8 GB of system RAM, CPU only: runs.