DeskGPU
English

NVIDIA GeForce RTX 4060 Ti 16GB: which LLMs can it run?

This page was written and translated automatically by AI and checked by software against its sources, with no human editing. Specifications come from the sources listed; memory requirements and speeds are estimates calculated with published formulas. How we use AI

NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB of memory (manufacturer figure). Below, every model in the database is checked against it with llama.cpp at a context length of 8,192 tokens (or the model’s maximum if shorter).

Values updated Oct 19, 2026

Specifications

Memory (manufacturer figure)
16 GB
Memory type
GDDR6
Memory bus width
128 bit
Memory bandwidth
288 GB/s
Board power (TDP)
165 W
FP16 tensor, dense
Not shown: open sources do not give two independent, agreeing values with a manufacturer reference.
BF16 tensor, dense
Not shown: open sources do not give two independent, agreeing values with a manufacturer reference.
FP8 tensor, dense
Not shown: open sources do not give two independent, agreeing values with a manufacturer reference.
FP4 tensor, dense
Not shown: open sources do not give two independent, agreeing values with a manufacturer reference.
INT8 tensor, dense
Not shown: open sources do not give two independent, agreeing values with a manufacturer reference.
Interface
PCIe 4.0 x8

Each value lists every source with its own figure; units have been normalized. A manufacturer’s “GB” of GPU memory is counted as GiB (2³⁰ bytes), which is also how AMD’s ROCm table states it. How specifications are checked

Run profile

Run profile: llama.cpp, CUDA back end (NVIDIA discrete GPU), all layers on the GPU, Flash Attention on, micro-batch (-ub) 512, F16 KV cache, context (-c) as shown; “Fits” is judged with llama-server’s default 4 parallel sequences (-np auto, unified KV cache) and “Doesn’t fit” with 1 sequence; idle GPU with no other programs using its memory.

Memory counted as available for “Fits” (C_low): 13.88 GiB per card = 16 GiB nominal − 5 MiB (nominal minus the total that llama.cpp reported for this GPU in public logs) − 2,112 MiB (the largest start-up and runtime use seen in this profile’s public logs), rounded down to a multiple of 64 MiB.

These results apply to the configuration seen in public logs, where llama.cpp reported 16,379 MiB of total memory for this GPU. Settings that reduce usable memory (for example ECC, where the card supports it) are not covered.

Memory used for “Doesn’t fit” (C_high): the full 16 GiB per card. Run profiles and their measurements

Which models fit

“Fits” means llama.cpp's default --fit load check would place all layers on the GPU: our estimate of llama.cpp's buffers, plus its error margin, plus llama.cpp's 1 GiB per-card reserve, is within the memory counted as available. It does not promise that peak memory while generating fits. How results are decided

Context 8,192 tokens (or the model’s maximum if shorter). The last columns show the longest context at that quantization and the bandwidth-based speed ceiling.
Model Parameters Highest quantization that fits Available memory needed for “Fits” Longest context Speed ceiling Result
AI21-Jamba2-Mini 51.6B (11.8B active) IQ2_XXS 13.6 GiB 21,760 ≤ 85.3 tok/s Fits
Kimi-Linear-48B-A3B-Instruct 49.1B (3.1B active) IQ2_XXS 13.3 GiB 61,184 ≤ 215 tok/s Fits
Hermes-4.3-36B 36.2B IQ2_XXS 12.9 GiB 11,776 ≤ 24.4 tok/s Fits
Kimi-Linear-REAP-35B-A3B-Instruct 35.1B (3.1B active) IQ2_M 12.8 GiB 115,712 ≤ 217 tok/s Fits
Holo4-35B-A3B 34.7B (2.9B active) IQ2_XXS 12.0 GiB 93,952 ≤ 168 tok/s Fits
Ising-Calibration-1-35B-A3B 34.7B (2.9B active) IQ2_M 13.1 GiB 41,216 ≤ 190 tok/s Fits
KAT-Coder-V2.5-Dev 34.7B (2.9B active) IQ2_M 13.5 GiB 23,040 ≤ 164 tok/s Fits
Qwen3.5-35B-A3B-Base 34.7B (2.9B active) IQ2_M 13.0 GiB 46,592 ≤ 206 tok/s Fits
Qwen3.6-35B-A3B 34.7B (2.9B active) IQ2_M 13.5 GiB 23,040 ≤ 164 tok/s Fits
Laguna-XS-2.1 33.4B (2.8B active) Q2_K 13.8 GiB 10,496 ≤ 144 tok/s Fits
AesCode-32B 32.8B IQ2_XXS 13.6 GiB 9,216 ≤ 23.0 tok/s Fits
Cosmos-Reason2-32B 32.8B IQ2_XXS 12.0 GiB 15,360 ≤ 26.4 tok/s Fits
FrogBoss-32B-2510 32.8B IQ2_XXS 12.0 GiB 15,360 ≤ 26.4 tok/s Fits
Nemotron-Terminal-32B 32.8B IQ2_XXS 12.0 GiB 15,360 ≤ 26.4 tok/s Fits
SERA-32B 32.8B IQ2_XXS 12.0 GiB 15,360 ≤ 26.4 tok/s Fits
WebWorld-32B 32.8B IQ2_XXS 12.0 GiB 15,360 ≤ 26.4 tok/s Fits
Olmo-3.1-32B-Instruct-DPO 32.2B IQ2_XXS 11.8 GiB 15,872 ≤ 29.0 tok/s Fits
Olmo-3-1125-32B 32.2B IQ2_XXS 11.8 GiB 15,872 ≤ 29.0 tok/s Fits
Olmo-3-32B-Think-DPO 32.2B IQ2_XXS 11.8 GiB 15,872 ≤ 29.0 tok/s Fits
Olmo-3-32B-Think-SFT 32.2B IQ2_XXS 11.8 GiB 15,872 ≤ 29.0 tok/s Fits
Holo2-30B-A3B 30.5B (3.0B active) Q2_K 13.0 GiB 16,640 ≤ 136 tok/s Fits
Qwen3-30B-A3B-Instruct-2507 30.5B (3.0B active) Q2_K 13.0 GiB 16,640 ≤ 136 tok/s Fits
Qwen3-Coder-30B-A3B-Instruct 30.5B (3.0B active) Q2_K 13.0 GiB 16,640 ≤ 136 tok/s Fits
Qwen3-VL-30B-A3B-Instruct 30.5B (3.0B active) Q2_K 13.0 GiB 16,640 ≤ 136 tok/s Fits
UI-Venus-1.5-30B-A3B 30.5B (3.0B active) Q2_K 13.0 GiB 16,640 ≤ 136 tok/s Fits
North-Mini-Code-1.0 30.5B (3.3B active) Q2_K 13.2 GiB 14,336 ≤ 130 tok/s Fits
GLM-4.7-Flash 29.9B (3.6B active) Q2_K 12.8 GiB 28,160 ≤ 128 tok/s Fits
Muse-Glimmer-30B 27.9B IQ3_XXS 12.6 GiB 90,880 ≤ 25.8 tok/s Fits
gemma-2-27b-it 27.2B IQ2_M 13.8 GiB 8,192 ≤ 24.6 tok/s Fits
Fara1.5-27B 26.9B Q2_K 13.6 GiB 12,032 ≤ 24.6 tok/s Fits
Holo4-27B 26.9B IQ3_XXS 13.1 GiB 20,224 ≤ 25.8 tok/s Fits
Qwen3.8-27B 26.9B IQ3_XXS 13.8 GiB 9,472 ≤ 24.2 tok/s Fits
Qwen3.8-3.6-27B-blend 26.9B IQ3_XXS 13.8 GiB 9,472 ≤ 24.2 tok/s Fits
UI-Mate-27B 26.9B Q2_K 13.6 GiB 12,032 ≤ 24.6 tok/s Fits
UI-Mate-democua-27B 26.9B Q2_K 12.7 GiB 25,344 ≤ 26.6 tok/s Fits
Trinity-Mini 26.1B (3.1B active) Q3_K_M 13.6 GiB 19,200 ≤ 147 tok/s Fits
Trinity-Mini-Base 26.1B (3.1B active) IQ3_XXS 11.8 GiB 123,648 ≤ 184 tok/s Fits
Trinity-Mini-Base-Pre-Anneal 26.1B (3.1B active) Q3_K_M 13.8 GiB 4,096 ≤ 160 tok/s Fits
gemma-4-26B-A4B 25.2B (3.8B active) Q2_K 13.0 GiB 47,616 ≤ 128 tok/s Fits
gemma-4-26B-A4B-it 25.2B (3.8B active) Q2_K 13.4 GiB 31,232 ≤ 110 tok/s Fits
Qwen3-Coder-REAP-25B-A3B 24.9B (3.0B active) Q3_K_M 13.3 GiB 14,336 ≤ 117 tok/s Fits
Devstral-Small-2-24B-Instruct-2512 23.6B Q3_K_M 13.6 GiB 9,984 ≤ 23.0 tok/s Fits
Mistral-Small-3.2-24B-Instruct-2506 23.6B Q3_K_M 13.6 GiB 9,984 ≤ 23.0 tok/s Fits
GLM-4.7-Flash-REAP-23B-A3B 23.0B (3.6B active) Q3_K_M 12.7 GiB 29,952 ≤ 115 tok/s Fits
EuroLLM-22B-2512 22.6B Q3_K_M 13.6 GiB 9,216 ≤ 22.9 tok/s Fits
EuroLLM-22B-Instruct-2512 22.6B Q3_K_M 13.6 GiB 9,216 ≤ 22.9 tok/s Fits
gpt-oss-20b 20.9B (3.6B active) Q8_0 12.9 GiB 45,312 ≤ 104 tok/s Fits
OptiMind-SFT 20.9B (3.6B active) Q4_0 13.2 GiB 33,024 ≤ 113 tok/s Fits
DeepSeek-R1-Distill-Qwen-14B 14.8B Q5_K_M 12.7 GiB 14,336 ≤ 24.9 tok/s Fits
Qwen2.5-14B-Instruct 14.8B Q5_K_M 12.7 GiB 14,336 ≤ 24.9 tok/s Fits
ContextPilot-14B 14.8B Q5_K_M 12.6 GiB 15,616 ≤ 24.9 tok/s Fits
FrogMini-14B-2510 14.8B Q5_K_M 12.4 GiB 17,152 ≤ 25.5 tok/s Fits
JanusCoder-14B 14.8B Q5_K_M 12.4 GiB 17,152 ≤ 25.5 tok/s Fits
Nemotron-Cascade-14B-Thinking 14.8B Q5_K_M 12.4 GiB 17,152 ≤ 25.5 tok/s Fits
Nemotron-Terminal-14B 14.8B Q5_K_M 12.4 GiB 17,152 ≤ 25.5 tok/s Fits
NousCoder-14B 14.8B Q5_K_M 12.4 GiB 17,152 ≤ 25.5 tok/s Fits
Qwen3-14B 14.8B Q5_K_M 12.4 GiB 17,152 ≤ 25.5 tok/s Fits
Qwen3-Nemotron-14B-BRRM 14.8B Q5_K_M 12.4 GiB 17,152 ≤ 25.5 tok/s Fits
WebWorld-14B 14.8B Q5_K_M 12.4 GiB 17,152 ≤ 25.5 tok/s Fits
phi-4 14.7B Q5_K_M 12.8 GiB 13,568 ≤ 24.5 tok/s Fits
Apriel-1.6-15b-Thinker 14.4B Q5_K_M 12.5 GiB 15,360 ≤ 25.2 tok/s Fits
Ministral-3-14B-Instruct-2512 13.5B Q5_K_M 11.6 GiB 22,272 ≤ 27.4 tok/s Fits
Ministral-3-14B-Reasoning-2512 13.5B Q5_K_M 11.6 GiB 22,272 ≤ 27.4 tok/s Fits
Mistral-Nemo-Instruct-2407 12.2B Q6_K 11.9 GiB 20,224 ≤ 26.6 tok/s Fits
Mellum2.1-12B-A2.5B-Thinking 12.1B (2.2B active) Q6_K 12.1 GiB 119,808 ≤ 137 tok/s Fits
Mellum2-12B-A2.5B-Base 12.1B (2.2B active) Q6_K 12.1 GiB 119,808 ≤ 137 tok/s Fits
Mellum2-12B-A2.5B-Instruct 12.1B (2.2B active) Q6_K 12.2 GiB 113,152 ≤ 130 tok/s Fits
Mellum2-12B-A2.5B-Instruct-SFT 12.1B (2.2B active) Q6_K 12.1 GiB 119,808 ≤ 137 tok/s Fits
Mellum2-12B-A2.5B-Thinking 12.1B (2.2B active) Q6_K 12.2 GiB 113,152 ≤ 130 tok/s Fits
Mellum2-12B-A2.5B-Thinking-SFT 12.1B (2.2B active) Q6_K 12.1 GiB 119,808 ≤ 137 tok/s Fits
gemma-4-12B-it 11.9B Q6_K 12.7 GiB 70,656 ≤ 28.1 tok/s Fits
gemma-3-12b-it 11.8B Q6_K 13.0 GiB 20,992 ≤ 27.4 tok/s Fits
translategemma-12b-it 11.8B Q6_K 13.0 GiB 20,992 ≤ 27.4 tok/s Fits
Bielik-11B-v3.0-Instruct 11.2B Q6_K 11.8 GiB 18,176 ≤ 26.8 tok/s Fits
AutoGLM-Phone-9B 9.4B Q8_0 10.8 GiB 65,536 ≤ 29.8 tok/s Fits
AutoGLM-Phone-9B-Multilingual 9.4B Q6_K 9.2 GiB 65,536 ≤ 35.6 tok/s Fits
GLM-4.6V-Flash 9.4B Q8_0 10.8 GiB 81,152 ≤ 29.8 tok/s Fits
gemma-2-9b-it 9.2B Q6_K 12.0 GiB 8,192 ≤ 29.0 tok/s Fits
EuroLLM-9B-Instruct-2512 9.2B Q8_0 11.6 GiB 20,992 ≤ 27.2 tok/s Fits
Fara1.5-9B 9.0B Q8_0 10.3 GiB 113,664 ≤ 33.0 tok/s Fits
Holo-3.1-9B 9.0B Q8_0 10.3 GiB 114,176 ≤ 33.1 tok/s Fits
MiMo-V2.6-Distill-Qwen-9B 9.0B Q8_0 10.3 GiB 113,664 ≤ 33.0 tok/s Fits
Qwen3.5-9B 9.0B Q8_0 10.3 GiB 114,176 ≤ 33.1 tok/s Fits
Qwen3.5-9B-Base 9.0B Q8_0 10.3 GiB 114,176 ≤ 33.1 tok/s Fits
UI-Mate-9B 9.0B Q8_0 10.3 GiB 113,664 ≤ 33.0 tok/s Fits
UI-Venus-2-9B 9.0B Q8_0 10.3 GiB 113,664 ≤ 33.0 tok/s Fits
NVIDIA-Nemotron-Nano-9B-v2 8.9B Q8_0 10.6 GiB 131,072 ≤ 32.1 tok/s Fits
granite-4.1-8b 8.8B Q8_0 11.3 GiB 23,808 ≤ 28.1 tok/s Fits
granite-4.2-8b 8.8B Q8_0 11.3 GiB 23,808 ≤ 28.1 tok/s Fits
Ministral-3-8B-Instruct-2512 8.5B Q8_0 10.7 GiB 31,232 ≤ 30.0 tok/s Fits
Ministral-3-8B-Reasoning-2512 8.5B Q8_0 10.7 GiB 31,232 ≤ 30.0 tok/s Fits
LFM2.5-8B-A1B 8.5B (1.7B active) Q8_0 10.2 GiB 128,000 ≤ 152 tok/s Fits
granite-guardian-4.1-8b 8.4B Q8_0 11.3 GiB 23,808 ≤ 28.1 tok/s Fits
LFM2-8B-A1B 8.3B (1.6B active) Q8_0 10.1 GiB 128,000 ≤ 164 tok/s Fits
rnj-1-instruct 8.3B Q8_0 11.0 GiB 30,208 ≤ 29.1 tok/s Fits
AesCode-8B 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
ArmorOCR 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
AstaBrief_8B 8.2B Q6_K 8.6 GiB 40,960 ≤ 38.8 tok/s Fits
ContextPilot-8B 8.2B Q6_K 8.6 GiB 40,960 ≤ 38.8 tok/s Fits
Cosmos-Reason2-8B 8.2B Q6_K 8.6 GiB 44,032 ≤ 38.8 tok/s Fits
DeepSeek-R1-0528-Qwen3-8B 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Holo2-8B 8.2B Q6_K 8.6 GiB 44,032 ≤ 38.8 tok/s Fits
intent-aware-lfqa-qwen3-8b-baseline 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
intent-aware-lfqa-qwen3-8b-intent-explicit 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
intent-aware-lfqa-qwen3-8b-intent-implicit 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
intent-aware-lfqa-qwen3-8b-multiview 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
JanusCoder-8B 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
MathForm-8B 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Nemotron-Cascade-8B 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Nemotron-Cascade-8B-Thinking 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Nemotron-Orchestrator-8B 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Nemotron-Terminal-8B 8.2B Q6_K 8.6 GiB 40,960 ≤ 38.8 tok/s Fits
Qwen3-8B 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Qwen3-Nemotron-8B-BRRM 8.2B Q6_K 8.6 GiB 40,960 ≤ 38.8 tok/s Fits
Qwen3-VL-8B-Instruct 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Qwen3-VL-8B-Thinking 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
RLVR-8B-0926 8.2B Q6_K 8.6 GiB 44,032 ≤ 38.8 tok/s Fits
Step3-VL-10B-Base 8.2B Q6_K 8.6 GiB 40,960 ≤ 38.8 tok/s Fits
UI-Venus-1.5-8B 8.2B Q6_K 8.6 GiB 44,032 ≤ 38.8 tok/s Fits
WebWorld-8B 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
ZwZ-8B 8.2B Q6_K 8.6 GiB 44,032 ≤ 38.8 tok/s Fits
MiniCPM-o-4_5 8.2B Q8_0 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
granite-3.3-8b-instruct 8.2B Q8_0 11.1 GiB 25,088 ≤ 28.7 tok/s Fits
granite-guardian-3.2-8b-factuality-detection 8.2B Q8_0 11.1 GiB 25,088 ≤ 28.7 tok/s Fits
intent-aware-lfqa-llama3-8b-baseline 8.0B Q8_0 10.2 GiB 36,608 ≤ 31.8 tok/s Fits
intent-aware-lfqa-llama3-8b-intent-explicit 8.0B Q8_0 10.2 GiB 36,608 ≤ 31.8 tok/s Fits
intent-aware-lfqa-llama3-8b-intent-implicit 8.0B Q8_0 10.2 GiB 36,608 ≤ 31.8 tok/s Fits
intent-aware-lfqa-llama3-8b-multiview 8.0B Q8_0 10.2 GiB 36,608 ≤ 31.8 tok/s Fits
DeepSeek-R1-Distill-Llama-8B 8.0B Q8_0 10.2 GiB 36,608 ≤ 31.8 tok/s Fits
HARC-Llama-3.1-8B-Instruct 8.0B Q6_K 8.4 GiB 50,176 ≤ 39.8 tok/s Fits
Llama-3.1-8B-Instruct 8.0B Q6_K 8.4 GiB 50,176 ≤ 39.8 tok/s Fits
AprielGuard 7.9B Q6_K 7.9 GiB 69,120 ≤ 42.8 tok/s Fits
MiMo-Embodied-7B 7.6B Q6_K 8.1 GiB 47,104 ≤ 41.4 tok/s Fits
DeepSeek-R1-Distill-Qwen-7B 7.6B Q8_0 9.1 GiB 89,344 ≤ 36.1 tok/s Fits
Fara-7B 7.6B Q8_0 9.1 GiB 89,344 ≤ 36.1 tok/s Fits
HARC-Qwen2.5-7B-Instruct 7.6B Q6_K 7.5 GiB 32,768 ≤ 45.9 tok/s Fits
JanusCoderV-7B 7.6B Q8_0 9.1 GiB 89,344 ≤ 36.1 tok/s Fits
olmOCR-2-7B-1025 7.6B Q8_0 9.1 GiB 89,344 ≤ 36.1 tok/s Fits
Qwen2.5-7B-Instruct 7.6B Q8_0 9.1 GiB 32,768 ≤ 36.1 tok/s Fits
Qwen2.5-Coder-7B-Instruct 7.6B Q8_0 9.1 GiB 32,768 ≤ 36.1 tok/s Fits
Qwen2.5-VL-7B-Instruct 7.6B Q8_0 9.1 GiB 89,344 ≤ 36.1 tok/s Fits
Qwen2.5-VL-7B-Surg-CholecT50 7.6B Q8_0 9.1 GiB 89,344 ≤ 36.1 tok/s Fits
Spatial-SSRL-7B 7.6B Q6_K 7.5 GiB 118,016 ≤ 45.9 tok/s Fits
X-Reasoner-7B 7.6B Q6_K 7.5 GiB 118,016 ≤ 45.9 tok/s Fits
ZwZ-7B 7.6B Q6_K 7.5 GiB 118,016 ≤ 45.9 tok/s Fits
gemma-4-E4B 7.5B F16 11.0 GiB 131,072 ≤ 30.1 tok/s Fits
gemma-4-E4B-it 7.5B BF16 11.0 GiB 131,072 ≤ 30.1 tok/s Fits
Bielik-Minitron-7B-v3.0-Instruct 7.5B Q8_0 10.2 GiB 30,464 ≤ 31.5 tok/s Fits
ContextPilot-E4B 7.5B F16 10.9 GiB 131,072 ≤ 30.5 tok/s Fits
Olmo-3.1-7B-RL-Zero-Code 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3.1-7B-RL-Zero-Math 7.3B Q8_0 12.7 GiB 10,240 ≤ 28.8 tok/s Fits
Olmo-3-7B-Instruct 7.3B Q8_0 12.7 GiB 10,240 ≤ 28.8 tok/s Fits
Olmo-3-7B-Instruct-DPO 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3-7B-Instruct-SFT 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3-7B-RL-Zero-Code 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3-7B-RL-Zero-General 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3-7B-RL-Zero-IF 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3-7B-RL-Zero-Math 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3-7B-RL-Zero-Mix 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3-7B-Think 7.3B Q8_0 12.7 GiB 10,240 ≤ 28.8 tok/s Fits
Olmo-3-7B-Think-DPO 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Olmo-3-7B-Think-SFT 7.3B Q6_K 11.0 GiB 13,568 ≤ 34.5 tok/s Fits
Mistral-7B-Instruct-v0.2 7.2B Q6_K 8.1 GiB 32,768 ≤ 41.7 tok/s Fits
Trinity-Nano-Base 6.1B (819M active) Q6_K 6.7 GiB 131,072 ≤ 320 tok/s Fits
Trinity-Nano-Base-Pre-Anneal 6.1B (819M active) Q6_K 6.4 GiB 4,096 ≤ 342 tok/s Fits
Trinity-Nano-Preview 6.1B (819M active) BF16 13.5 GiB 29,440 ≤ 155 tok/s Fits
Youtu-VL-4B-Instruct 4.9B Q6_K 5.9 GiB 32,768 ≤ 65.2 tok/s Fits
Holo-3.1-4B 4.8B F16 10.2 GiB 114,688 ≤ 33.2 tok/s Fits
gemma-4-E2B 4.6B Q6_K 3.5 GiB 131,072 ≤ 147 tok/s Fits
gemma-4-E2B-it 4.6B BF16 6.1 GiB 131,072 ≤ 61.9 tok/s Fits
AgentCPM-Explore 4.4B Q6_K 5.7 GiB 63,488 ≤ 63.9 tok/s Fits
CapRL-Qwen3VL-4B 4.4B F16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Holo2-4B 4.4B F16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
intent-aware-lfqa-qwen3-4b-baseline 4.4B F16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
intent-aware-lfqa-qwen3-4b-intent-explicit 4.4B F16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
intent-aware-lfqa-qwen3-4b-intent-implicit 4.4B F16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
intent-aware-lfqa-qwen3-4b-multiview 4.4B F16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Spatial-SSRL-Qwen3VL-4B 4.4B F16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
ZwZ-4B 4.4B Q6_K 5.7 GiB 63,488 ≤ 63.9 tok/s Fits
Fara1.5-4B 4.2B BF16 10.2 GiB 114,688 ≤ 33.2 tok/s Fits
FrogNano-4B-2609 4.2B BF16 10.2 GiB 114,688 ≤ 33.2 tok/s Fits
Qwen3.5-4B 4.2B BF16 10.2 GiB 114,688 ≤ 33.2 tok/s Fits
Qwen3.5-4B-Base 4.2B F16 10.2 GiB 114,688 ≤ 33.2 tok/s Fits
UserRepGen-4B 4.2B BF16 10.2 GiB 114,688 ≤ 33.2 tok/s Fits
Riva-Translate-4B-Instruct-v1.1 4.2B Q6_K 6.0 GiB 8,192 ≤ 60.1 tok/s Fits
GELab-Zero-4B-preview 4.0B BF16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Qwen3-4B 4.0B Q8_0 6.7 GiB 40,960 ≤ 52.5 tok/s Fits
Qwen3-4B-Instruct-2507 4.0B F16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Qwen3-VL-4B-Instruct 4.0B BF16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
Qwen3-VL-4B-Thinking 4.0B BF16 10.4 GiB 31,744 ≤ 31.1 tok/s Fits
NVIDIA-Nemotron-3-Nano-4B-BF16 4.0B BF16 8.7 GiB 262,144 ≤ 39.7 tok/s Fits
gemma-3-4b-it 3.9B BF16 9.9 GiB 131,072 ≤ 35.8 tok/s Fits
medgemma-1.5-4b-it 3.9B BF16 9.9 GiB 131,072 ≤ 35.8 tok/s Fits
Nemotron-3-Content-Safety 3.9B Q6_K 5.4 GiB 131,072 ≤ 82.9 tok/s Fits
translategemma-4b-it 3.9B F16 9.9 GiB 131,072 ≤ 35.8 tok/s Fits
Phi-4-mini-instruct 3.8B BF16 10.0 GiB 37,888 ≤ 32.9 tok/s Fits
Apertus-v1.1-4B 3.8B Q6_K 4.4 GiB 4,096 ≤ 89.7 tok/s Fits
Phi-3.5-mini-instruct 3.8B Q8_0 8.3 GiB 22,528 ≤ 40.1 tok/s Fits
granite-4.2-3b 3.7B BF16 8.6 GiB 71,936 ≤ 38.5 tok/s Fits
BitCPM-CANN-3B-unquantized 3.6B Q6_K 4.3 GiB 32,768 ≤ 93.7 tok/s Fits
kanana-2-3b-instruct 3.5B F16 8.6 GiB 32,768 ≤ 38.7 tok/s Fits
Ministral-3-3B-Instruct-2512 3.4B BF16 8.9 GiB 55,296 ≤ 37.3 tok/s Fits
Ministral-3-3B-Reasoning-2512 3.4B BF16 8.9 GiB 55,296 ≤ 37.3 tok/s Fits
granite-vision-4.1-4b 3.4B BF16 8.6 GiB 71,936 ≤ 38.5 tok/s Fits
granite-4.1-3b 3.4B BF16 8.6 GiB 71,936 ≤ 38.5 tok/s Fits
granite-guardian-4.0-3b-toxicity-ja 3.4B Q6_K 4.7 GiB 119,808 ≤ 83.2 tok/s Fits
Qwen2.5-3B-Instruct 3.4B Q8_0 4.8 GiB 32,768 ≤ 80.4 tok/s Fits
tiny-aya-earth 3.3B BF16 8.7 GiB 240,640 ≤ 40.7 tok/s Fits
tiny-aya-fire 3.3B BF16 8.7 GiB 240,640 ≤ 40.7 tok/s Fits
tiny-aya-global 3.3B BF16 8.7 GiB 240,640 ≤ 40.7 tok/s Fits
tiny-aya-water 3.3B BF16 8.7 GiB 240,640 ≤ 40.7 tok/s Fits
Llama-3.2-3B-Instruct 3.2B BF16 8.5 GiB 55,040 ≤ 39.1 tok/s Fits
AI21-Jamba-Reasoning-3B 3.2B BF16 7.3 GiB 262,144 ≤ 47.4 tok/s Fits
AI21-Jamba2-3B 3.2B BF16 7.3 GiB 262,144 ≤ 47.4 tok/s Fits
kanana-2-3b-base 3.2B Q6_K 4.9 GiB 32,768 ≤ 78.2 tok/s Fits
SmolLM3-3B 3.1B BF16 7.9 GiB 65,536 ≤ 42.6 tok/s Fits
SmolLM3-3B-GSM8K-SFT 3.1B Q6_K 4.3 GiB 65,536 ≤ 92.1 tok/s Fits
LFM2-2.6B-Exp 2.7B F16 6.5 GiB 128,000 ≤ 54.6 tok/s Fits
d1-3B 2.7B BF16 6.7 GiB 32,768 ≤ 52.1 tok/s Fits
LFM2.5-2.6B 2.7B BF16 6.7 GiB 131,072 ≤ 52.1 tok/s Fits
LFM2.5-2.6B-Base 2.7B Q6_K 3.6 GiB 128,000 ≤ 123 tok/s Fits
LFM2.5-VL-3B 2.7B BF16 6.7 GiB 32,768 ≤ 52.1 tok/s Fits
EuroMoE-2.6B-A0.6B-Instruct-2512 2.6B (498M active) Q6_K 3.6 GiB 32,768 ≤ 469 tok/s Fits
LFM2-2.6B-Longevity 2.6B F16 6.5 GiB 128,000 ≤ 54.6 tok/s Fits
LFM2-2.6B-Transcript 2.6B BF16 6.5 GiB 128,000 ≤ 54.6 tok/s Fits
LFM2-VL-3B 2.6B BF16 6.5 GiB 128,000 ≤ 54.6 tok/s Fits
MiniCPM5-2B 2.5B BF16 6.0 GiB 131,072 ≤ 59.4 tok/s Fits
MiniCPM5-2B-Base 2.5B Q6_K 3.4 GiB 244,480 ≤ 131 tok/s Fits
CapRL-Qwen3VL-2B 2.0B F16 5.6 GiB 80,128 ≤ 65.7 tok/s Fits
HiPO-1.7B 2.0B Q6_K 3.6 GiB 40,960 ≤ 122 tok/s Fits
UI-Venus-1.5-2B 2.0B F16 5.6 GiB 80,128 ≤ 65.7 tok/s Fits
ZwZ-2B 2.0B F16 5.6 GiB 80,128 ≤ 65.7 tok/s Fits
Youtu-LLM-2B 2.0B Q6_K 3.2 GiB 131,072 ≤ 150 tok/s Fits
Youtu-LLM-2B-Base 2.0B Q6_K 3.2 GiB 131,072 ≤ 150 tok/s Fits
Qwen3.5-2B 1.9B BF16 5.4 GiB 262,144 ≤ 74.5 tok/s Fits
Qwen3.5-2B-Base 1.9B Q6_K 3.2 GiB 262,144 ≤ 175 tok/s Fits
Qwen3-1.7B 1.7B BF16 5.6 GiB 40,960 ≤ 65.7 tok/s Fits
Qwen3-VL-2B-Instruct 1.7B BF16 5.6 GiB 80,128 ≤ 65.7 tok/s Fits
Qwen3-VL-2B-Thinking 1.7B BF16 5.6 GiB 80,128 ≤ 65.7 tok/s Fits
SingGuard-2b 1.7B F16 5.6 GiB 80,128 ≤ 65.7 tok/s Fits
granite-4.0-1b 1.6B BF16 5.1 GiB 114,176 ≤ 73.2 tok/s Fits
Apertus-v1.1-1.5B 1.5B F16 3.8 GiB 4,096 ≤ 110 tok/s Fits
Apertus-v1.1-1.5B-Instruct 1.5B F16 3.8 GiB 4,096 ≤ 110 tok/s Fits
granite-4.0-h-1b 1.5B BF16 4.4 GiB 131,072 ≤ 96.3 tok/s Fits
Llama-3.2-1B-Instruct 1.2B BF16 4.0 GiB 131,072 ≤ 105 tok/s Fits
LFM2.5-1.2B-Base 1.2B BF16 3.7 GiB 128,000 ≤ 118 tok/s Fits
LFM2.5-1.2B-Instruct 1.2B BF16 3.7 GiB 128,000 ≤ 118 tok/s Fits
LFM2.5-1.2B-JP 1.2B F16 3.7 GiB 128,000 ≤ 118 tok/s Fits
LFM2.5-1.2B-JP-202606 1.2B F16 3.7 GiB 128,000 ≤ 118 tok/s Fits
LFM2.5-1.2B-Thinking 1.2B BF16 3.7 GiB 128,000 ≤ 118 tok/s Fits
LFM2.5-VL-1.6B 1.2B BF16 3.7 GiB 128,000 ≤ 118 tok/s Fits
LFM2.5-VL-1.6B-Extract 1.2B F16 3.7 GiB 128,000 ≤ 118 tok/s Fits
MiniCPM5-1B 1.1B Q6_K 2.2 GiB 131,072 ≤ 312 tok/s Fits
MiniCPM5-1B-Base 1.1B Q6_K 2.2 GiB 131,072 ≤ 312 tok/s Fits
MiniCPM5-1B-SFT 1.1B Q6_K 2.2 GiB 131,072 ≤ 312 tok/s Fits
Holo-3.1-0.8B 1.0B Q6_K 2.3 GiB 262,144 ≤ 400 tok/s Fits
MiniCPM-V-4.7-1B 1.0B F16 3.2 GiB 262,144 ≤ 179 tok/s Fits
gemma-3-1b-it 1.0B BF16 3.6 GiB 32,768 ≤ 141 tok/s Fits
Qwen3.5-0.8B 752M BF16 3.2 GiB 262,144 ≤ 179 tok/s Fits
Qwen3.5-0.8B-Base 752M Q6_K 2.3 GiB 262,144 ≤ 400 tok/s Fits
MiniCPM-V-4.6 752M F16 3.2 GiB 262,144 ≤ 179 tok/s Fits
MiniCPM-V-4.6-Thinking 752M F16 3.2 GiB 262,144 ≤ 179 tok/s Fits
Qwen3-0.6B 752M BF16 3.4 GiB 40,960 ≤ 135 tok/s Fits
HunyuanOCR 539M F16 3.1 GiB 32,768 ≤ 153 tok/s Fits
LFM2.5-350M 354M BF16 2.1 GiB 128,000 ≤ 356 tok/s Fits
LFM2.5-Encoder-350M-Diffusion 354M Q6_K 1.7 GiB 128,000 ≤ 735 tok/s Fits
LFM2.5-VL-450M 354M BF16 2.1 GiB 128,000 ≤ 356 tok/s Fits
LFM2.5-VL-450M-Extract 354M F16 2.1 GiB 128,000 ≤ 356 tok/s Fits
granite-4.0-350m 352M BF16 2.2 GiB 32,768 ≤ 306 tok/s Fits
granite-4.0-h-350m 340M BF16 2.1 GiB 32,768 ≤ 403 tok/s Fits
functiongemma-270m-it 268M BF16 2.1 GiB 32,768 ≤ 506 tok/s Fits
LFM2.5-230M 230M BF16 1.8 GiB 128,000 ≤ 514 tok/s Fits

Borderline models

Within the estimate error range: it may fit or it may not. Try a shorter context or a lower quantization.

Context 8,192 tokens. No quantization of these models fits; the one shown is the highest that is borderline.
Model Parameters Highest borderline quantization Available memory needed for “Fits” Result
Kimi-Linear-48B-A3B-Base 49.1B (3.1B active) Q2_K 19.1 GiB Tight
Holo-3.1-35B-A3B 34.7B (2.9B active) Q3_K_M 18.1 GiB Tight
Holo3-35B-A3B 34.7B (2.9B active) Q3_K_M 18.1 GiB Tight
Qwen3.5-35B-A3B 34.7B (2.9B active) Q3_K_M 17.6 GiB Tight
DeepSeek-R1-Distill-Qwen-32B 32.8B Q3_K_M 18.7 GiB Tight
Qwen2.5-32B-Instruct 32.8B Q3_K_M 18.7 GiB Tight
Qwen2.5-Coder-32B-Instruct 32.8B Q3_K_M 18.7 GiB Tight
Qwen3-VL-32B-Instruct 32.8B Q3_K_M 18.8 GiB Tight
Qwen3-VL-32B-Thinking 32.8B Q3_K_M 18.8 GiB Tight
Olmo-3.1-32B-Instruct 32.2B IQ4_XS 20.1 GiB Tight
Olmo-3.1-32B-Think 32.2B IQ4_XS 20.1 GiB Tight
Olmo-3-32B-Think 32.2B IQ4_XS 20.1 GiB Tight
Holotron4-30B-A3B 31.6B (3.2B active) Q4_0 19.0 GiB Tight
Nemotron-Cascade-2-30B-A3B 31.6B (3.2B active) Q4_0 19.2 GiB Tight
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16 31.6B (3.2B active) Q4_0 19.0 GiB Tight
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 31.6B (3.2B active) Q4_0 19.3 GiB Tight
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 31.6B (3.2B active) Q4_0 19.2 GiB Tight
NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16 31.6B (3.2B active) Q4_0 19.0 GiB Tight
gemma-4-31B 30.7B Q3_K_M 20.9 GiB Tight
gemma-4-31B-it 30.7B IQ4_XS 21.9 GiB Tight
Ising-Calibration-1.5-31B-BF16 30.7B Q3_K_M 21.5 GiB Tight
granite-4.2-30b 29.3B Q4_0 19.4 GiB Tight
granite-4.1-30b 28.9B Q4_0 19.4 GiB Tight
gemma-3-27b-it 27.0B Q4_K_M 20.3 GiB Tight
translategemma-27b-it 27.0B Q4_K_M 20.3 GiB Tight
Qwen3.5-27B 26.9B Q4_K_M 18.4 GiB Tight
Qwen3.6-27B 26.9B Q4_K_M 18.4 GiB Tight
LFM2.5-24B-A2B 24.0B (2.5B active) Q5_K_M 18.1 GiB Tight
LFM2-24B-A2B 23.8B (2.3B active) Q5_K_M 18.0 GiB Tight
gemma-4-12B 11.9B Q8_0 15.6 GiB Tight

Models that don’t fit on one NVIDIA GeForce RTX 4060 Ti 16GB

Context 8,192 tokens. Even the lowest quantization does not fit on one card; the requirement shown is for that quantization.
Model Parameters Smallest quantization Available memory needed for “Fits” Several identical cards Result
MiniCPM-V-4.7-35B-A3B 34.7B (2.9B active) IQ4_XS 20.0 GiB 2 identical cards (default even split) are expected to fit. Doesn't fit
Qwen3-30B-A3B 30.5B (3.0B active) Q4_K_M 20.1 GiB 2 identical cards (default even split) are expected to fit. Doesn't fit
EXAONE-4.5-33B 32.5B IQ4_XS 20.4 GiB 2 identical cards (default even split) are expected to fit. Doesn't fit
Llama-3.1-70B-Instruct 70.6B IQ2_XXS 22.3 GiB 2 identical cards (default even split) are expected to fit. Doesn't fit
Qwen3-Coder-Next-Base 79.7B (3.6B active) IQ2_XXS 22.3 GiB 2 identical cards (default even split) are expected to fit. Doesn't fit
Qwen3-32B 32.8B Q4_K_M 22.4 GiB 2 identical cards (default even split) are expected to fit. Doesn't fit
QwQ-32B 32.8B Q4_K_M 22.5 GiB 2 identical cards (default even split) are expected to fit. Doesn't fit
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 31.6B (3.2B active) Q4_K_M 23.3 GiB 2 identical cards (default even split) are expected to fit. Doesn't fit
KAT-Dev-72B-Exp 72.7B IQ2_XXS 28.5 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Solar-Open-100B 103B (11.2B active) IQ2_XXS 29.4 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
DeepSeek-R1-Distill-Llama-70B 70.6B Q2_K 29.4 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Llama-3.3-70B-Instruct 70.6B Q2_K 29.4 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Qwen3-Next-80B-A3B-Instruct 79.7B (3.6B active) Q2_K 30.3 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Qwen2.5-72B-Instruct 73.0B Q2_K 30.3 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Qwen3-Coder-Next 79.7B (3.6B active) Q2_K 30.4 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
GLM-4.5-Air-REAP-82B-A12B 81.9B (12.8B active) IQ2_XXS 31.1 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Step-3.5-Flash-REAP-121B-A11B 121B (11.4B active) IQ2_XXS 32.9 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Mistral-Small-4-119B-2603 119B (6.1B active) IQ2_XXS 34.3 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Qwen3.5-122B-A10B 122B (9.0B active) IQ2_XXS 35.0 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Qwen-AgentWorld-35B-A3B 34.7B (2.9B active) Q8_0 37.6 GiB 3 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
MiniMax-M2.5-REAP-139B-A10B 139B (10.4B active) IQ2_XXS 39.2 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
INTELLECT-3 107B (12.8B active) IQ2_XXS 39.6 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Step-3.5-Flash-REAP-149B-A11B 149B (11.4B active) IQ2_XXS 40.1 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Llama-4-Scout-17B-16E-Instruct 108B (16.1B active) Q2_K 41.5 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
GLM-4.5-Air 107B (12.8B active) Q2_K 45.6 GiB 5 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
GLM-4.6V 107B (12.8B active) Q2_K 45.6 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Step-3.5-Flash 197B (11.5B active) IQ2_XXS 48.9 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Devstral-2-123B-Instruct-2512 125B Q2_K 49.3 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Mistral-Medium-3.5-128B 125B Q2_K 49.3 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 121B (12.2B active) IQ2_XXS 49.8 GiB 4 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 121B (12.2B active) IQ2_XXS 51.0 GiB 5 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
gpt-oss-120b 117B (5.1B active) Q2_K 62.8 GiB 6 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
MiniMax-M2.7 229B (10.4B active) IQ2_XXS 62.9 GiB 6 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Baichuan-M3-235B 235B (21.6B active) IQ2_XXS 63.2 GiB 6 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Holo2-235B-A22B 235B (21.6B active) IQ2_XXS 63.2 GiB 6 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Qwen3-Nemotron-235B-A22B-GenRM 235B (21.6B active) IQ2_XXS 63.2 GiB 6 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
command-a-plus-05-2026-bf16 218B (25.0B active) IQ2_XXS 63.6 GiB 6 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 121B (12.2B active) Q4_0 71.8 GiB 6 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
GLM-4.7-REAP-268B-A32B 269B (32.8B active) IQ2_XXS 73.0 GiB 7 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Step-3.7-Flash 197B (11.5B active) IQ3_XXS 76.1 GiB 7 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Hy3 295B (20.2B active) IQ2_XXS 82.2 GiB 7 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
MiMo-V2.5 309B (14.8B active) IQ2_XXS 82.4 GiB 8 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
GLM-4.7-REAP-218B-A32B 218B (32.8B active) Q2_K 82.9 GiB 8 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
MiniMax-M2 229B (10.4B active) Q2_K 84.9 GiB 8 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
MiniMax-M2.1 229B (10.4B active) Q2_K 84.9 GiB 8 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
MiniMax-M2.5 229B (10.4B active) Q2_K 84.9 GiB 8 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Qwen3-235B-A22B-Instruct-2507 235B (21.6B active) Q2_K 86.7 GiB 8 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
Qwen3-VL-235B-A22B-Instruct 235B (21.6B active) Q2_K 86.7 GiB 8 identical cards (default even split) are expected to fit. Fewer cards are borderline. Doesn't fit
GLM-5.3-Flash-BF16 313B (16.7B active) IQ2_XXS 92.0 GiB Borderline with 8 cards. Doesn't fit
Laguna-S-2.1 118B (8.1B active) Q4_K_M 95.9 GiB Borderline with 8 cards. Doesn't fit
Trinity-Large-Base 399B (12.8B active) IQ2_XXS 96.4 GiB Borderline with 8 cards. Doesn't fit
Trinity-Large-TrueBase 399B (12.8B active) IQ2_XXS 96.4 GiB Borderline with 8 cards. Doesn't fit
GLM-4.6-REAP-268B-A32B 269B (32.8B active) Q2_K 100.9 GiB Borderline with 8 cards. Doesn't fit
Trinity-Large-Thinking 399B (12.8B active) IQ2_XXS 107.1 GiB Borderline with 8 cards. Doesn't fit
MiMo-V2-Flash 309B (14.8B active) Q2_K 111.6 GiB Borderline with 8 cards. Doesn't fit
Intern-S2-397B 396B (16.3B active) IQ2_XXS 114.3 GiB Borderline with 8 cards. Doesn't fit
MiMo-V2.6-Flash-MOPD 309B (14.8B active) Q2_K 124.9 GiB Borderline with 8 cards. Doesn't fit
MiMo-V2.6-Flash-RL 309B (14.8B active) Q2_K 124.9 GiB Borderline with 8 cards. Doesn't fit
K-EXAONE-236B-A23B 237B (22.7B active) IQ4_XS 126.3 GiB Borderline with 8 cards. Doesn't fit
GLM-4.5 353B (32.9B active) Q2_K 130.7 GiB Borderline with 8 cards. Doesn't fit
GLM-4.7 353B (32.9B active) Q2_K 130.7 GiB Borderline with 8 cards. Doesn't fit
Qwen3-Coder-REAP-363B-A35B 363B (34.5B active) Q2_K 132.7 GiB Borderline with 8 cards. Doesn't fit
Qwen3-235B-A22B 235B (21.6B active) Q4_K_M 141.9 GiB Borderline with 8 cards. Doesn't fit
Qwen3-Coder-480B-A35B-Instruct 480B (34.5B active) Q2_K 174.3 GiB Does not fit even on 8 cards. Doesn't fit
Qwen3.5-397B-A17B 396B (16.3B active) Q3_K_M 175.6 GiB Does not fit even on 8 cards. Doesn't fit
GLM-5.1 744B (40.8B active) IQ2_XXS 197.6 GiB Does not fit even on 8 cards. Doesn't fit
DeepSeek-V3.2 671B (36.6B active) Q2_K 242.1 GiB Does not fit even on 8 cards. Doesn't fit
cogito-671b-v2.1 671B (36.6B active) Q2_K 242.4 GiB Does not fit even on 8 cards. Doesn't fit
DeepSeek-V3.1 671B (36.6B active) Q2_K 242.4 GiB Does not fit even on 8 cards. Doesn't fit
Mistral-Large-3-675B-Instruct-2512 673B (39.0B active) Q2_K 243.8 GiB Does not fit even on 8 cards. Doesn't fit
DeepSeek-V3 671B (36.6B active) Q2_K 257.8 GiB Does not fit even on 8 cards. Doesn't fit
Kimi-K2.6 1.03T (31.7B active) IQ2_XXS 267.6 GiB Does not fit even on 8 cards. Doesn't fit
GLM-5 744B (40.8B active) Q2_K 268.9 GiB Does not fit even on 8 cards. Doesn't fit
MiMo-V2.5-Pro 1.02T (41.0B active) IQ2_XXS 270.4 GiB Does not fit even on 8 cards. Doesn't fit
DeepSeek-R1 671B (36.6B active) Q2_K 280.3 GiB Does not fit even on 8 cards. Doesn't fit
Muse-Spark-Open-816B-A42B 820B (44.4B active) Q2_K 301.0 GiB Does not fit even on 8 cards. Doesn't fit
GLM-5.3-Flash 313B (16.7B active) Q8_0 327.9 GiB Does not fit even on 8 cards. Doesn't fit
Ling-1T 1.00T (49.8B active) Q2_K 360.6 GiB Does not fit even on 8 cards. Doesn't fit
Kimi-K2-Instruct 1.03T (31.7B active) Q2_K 367.4 GiB Does not fit even on 8 cards. Doesn't fit
Kimi-K2.5 1.03T (31.7B active) Q2_K 368.0 GiB Does not fit even on 8 cards. Doesn't fit
Kimi-K2-Thinking 1.03T (31.7B active) Q2_K 368.3 GiB Does not fit even on 8 cards. Doesn't fit
MiMo-V2.6-Pro-MOPD 1.02T (41.0B active) Q2_K 411.6 GiB Does not fit even on 8 cards. Doesn't fit
MiMo-V2.6-Pro-RL 1.02T (41.0B active) Q2_K 411.6 GiB Does not fit even on 8 cards. Doesn't fit
Beam-1.0-501B-A23B 501B (22.7B active) Q8_0 523.6 GiB Does not fit even on 8 cards. Doesn't fit
GLM-5.2 744B (40.8B active) Q8_0 776.4 GiB Does not fit even on 8 cards. Doesn't fit
GLM-5.3 744B (40.8B active) Q8_0 776.4 GiB Does not fit even on 8 cards. Doesn't fit
Qwen3.8-2.4T-A95B 2.42T (93.3B active) Q8_0 2,524.1 GiB Does not fit even on 8 cards. Doesn't fit

The speed ceiling is memory bandwidth divided by the bytes read per generated token. It is a theoretical upper bound; public llama.cpp benchmarks typically reach about half to four-fifths of it, and small models and mixture-of-experts models often less. Public benchmarks

Detailed pages for this GPU

Other devices with 16 GB