RUNLOCALAIv38
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RUNLOCALAI · v38
Will it run? / NVIDIA RTX 4090 48GB (China-mod)

What can NVIDIA RTX 4090 48GB (China-mod) run?

Build: NVIDIA RTX 4090 48GB (China-mod) + — + 32 GB RAM (windows)

Memory: 48 GB VRAM + 32 GB system RAM
Runner: llama.cpp / Ollama (CUDA)
AnyChatCodingAgentsReasoningVisionLong contextCreative

Runs comfortably
258 models

Full-VRAM resident, with room for context. No compromises.

#1all-MiniLM-L6-v2
0.022B
other
Commercial OK
Quant: Q4_K_MContext: 256VRAM: 1.8 GBHeadroom: 46.2 GBTTFT: instant
49328
tok/s
Estimated
Weights
0.01 GB
KV cache
0.00 GB
Activations
0.00 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~1 ms (instant)
Model details →
#2Piper
0.025B
other
Commercial OK
Quant: Q4_K_MContext: 0VRAM: 1.8 GBHeadroom: 46.2 GBTTFT: instant
43409
tok/s
Estimated
Weights
0.02 GB
KV cache
0.00 GB
Activations
0.00 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~1 ms (instant)
Model details →
#3Whisper Tiny
0.039B
other
Commercial OK
Quant: Q4_K_MContext: 30VRAM: 1.8 GBHeadroom: 46.2 GBTTFT: instant
27826
tok/s
Estimated
Weights
0.02 GB
KV cache
0.00 GB
Activations
0.00 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~1 ms (instant)
Model details →
#4Whisper Base
0.074B
other
Commercial OK
Quant: Q4_K_MContext: 30VRAM: 1.8 GBHeadroom: 46.2 GBTTFT: instant
14665
tok/s
Estimated
Weights
0.04 GB
KV cache
0.00 GB
Activations
0.00 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2 ms (instant)
Model details →
#5Kokoro 82M
0.082B
other
Commercial OK
Quant: Q4_K_MContext: 0VRAM: 1.9 GBHeadroom: 46.1 GBTTFT: instant
13234
tok/s
Estimated
Weights
0.05 GB
KV cache
0.00 GB
Activations
0.00 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~3 ms (instant)
Model details →
#6all-mpnet-base-v2
0.109B
other
Commercial OK
Quant: Q4_K_MContext: 384VRAM: 1.9 GBHeadroom: 46.1 GBTTFT: instant
9956
tok/s
Estimated
Weights
0.07 GB
KV cache
0.00 GB
Activations
0.00 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~3 ms (instant)
Model details →
#7paraphrase-multilingual-MiniLM-L12-v2
0.118B
other
Commercial OK
Quant: Q4_K_MContext: 128VRAM: 1.9 GBHeadroom: 46.1 GBTTFT: instant
9197
tok/s
Estimated
Weights
0.07 GB
KV cache
0.00 GB
Activations
0.00 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~4 ms (instant)
Model details →
#8Nomic Embed Text v1.5
0.137B
other
Commercial OK
Quant: Q4_K_MContext: 8,192VRAM: 2.0 GBHeadroom: 46.0 GBTTFT: instant
7921
tok/s
Estimated
Weights
0.08 GB
KV cache
0.07 GB
Activations
0.01 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~4 ms (instant)
Model details →
#9SmolLM2 135M Instruct
0.135B
other
Commercial OK
Quant: Q4_K_MContext: 8,192VRAM: 2.0 GBHeadroom: 46.0 GBTTFT: instant
8039
tok/s
Estimated
Weights
0.08 GB
KV cache
0.07 GB
Activations
0.01 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~4 ms (instant)
Model details →
#10GTE ModernBERT Base
0.149B
other
Commercial OK
Quant: Q4_K_MContext: 8,192VRAM: 2.0 GBHeadroom: 46.0 GBTTFT: instant
7283
tok/s
Estimated
Weights
0.09 GB
KV cache
0.07 GB
Activations
0.01 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~5 ms (instant)
Model details →
#11Whisper Small
0.244B
other
Commercial OK
Quant: Q4_K_MContext: 30VRAM: 2.0 GBHeadroom: 46.0 GBTTFT: instant
4448
tok/s
Estimated
Weights
0.15 GB
KV cache
0.00 GB
Activations
0.01 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~8 ms (instant)
Model details →
#12Gemma 3 270M
0.27B
gemma
Commercial OK
Quant: Q4_K_MContext: 8,192VRAM: 2.1 GBHeadroom: 45.9 GBTTFT: instant
4019
tok/s
Estimated
Weights
0.16 GB
KV cache
0.14 GB
Activations
0.02 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~8 ms (instant)
Model details →

Runs with tradeoffs
15 models

Tight VRAM, partial CPU offload, or context-limited.

Llama 3.3 70B Instruct
70B
llama
Commercial OK
Quant: Q4_K_MContext: 2,048VRAM: 46.8 GBHeadroom: 1.2 GBTTFT: slow
  • • Tight VRAM fit — only 1.2 GB headroom left for context growth
ollama run llama3.3:70b
16
tok/s
Estimated
Weights
42.26 GB
KV cache
0.67 GB
Activations
2.12 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2169 ms (slow)
Model details →
DeepSeek R1 Distill Llama 70B
70B
deepseek
Commercial OK
Quant: Q4_K_MContext: 2,048VRAM: 54.9 GBHeadroom: 12.3 GBTTFT: slow
  • • Partial CPU offload: ~13% of layers run on CPU
ollama run deepseek-r1:70b
16
tok/s
Estimated
Weights
42.26 GB
KV cache
8.75 GB
Activations
2.12 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2169 ms (slow)
Model details →
Gemma 3 27B
27B
gemma
Commercial OK
Quant: Q8_0Context: 8,192VRAM: 45.4 GBHeadroom: 2.6 GBTTFT: noticeable
  • • Tight VRAM fit — only 2.6 GB headroom left for context growth
ollama run gemma3:27b
23
tok/s
Estimated
Weights
28.69 GB
KV cache
13.50 GB
Activations
1.44 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~837 ms (noticeable)
Model details →
Llama 3.1 70B Instruct
70B
llama
Commercial OK
Quant: Q4_K_MContext: 2,048VRAM: 54.9 GBHeadroom: 12.3 GBTTFT: slow
  • • Partial CPU offload: ~13% of layers run on CPU
ollama run llama3.1:70b
16
tok/s
Estimated
Weights
42.26 GB
KV cache
8.75 GB
Activations
2.12 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2169 ms (slow)
Model details →
Llama 3.1 Nemotron 70B Instruct
70B
llama
Commercial OK
Quant: Q4_K_MContext: 2,048VRAM: 54.9 GBHeadroom: 12.3 GBTTFT: slow
  • • Partial CPU offload: ~13% of layers run on CPU
ollama run nemotron:70b
16
tok/s
Estimated
Weights
42.26 GB
KV cache
8.75 GB
Activations
2.12 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2169 ms (slow)
Model details →
Qwen 2.5 72B Instruct
72B
qwen
Commercial OK
Quant: Q4_K_MContext: 2,048VRAM: 56.4 GBHeadroom: 10.8 GBTTFT: slow
  • • Partial CPU offload: ~15% of layers run on CPU
ollama run qwen2.5:72b
15
tok/s
Estimated
Weights
43.47 GB
KV cache
9.00 GB
Activations
2.18 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2231 ms (slow)
Model details →
Hermes 3 Llama 3.1 70B
70B
hermes
Commercial OK
Quant: Q4_K_MContext: 2,048VRAM: 54.9 GBHeadroom: 12.3 GBTTFT: slow
  • • Partial CPU offload: ~13% of layers run on CPU
ollama run hermes3:70b
16
tok/s
Estimated
Weights
42.26 GB
KV cache
8.75 GB
Activations
2.12 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2169 ms (slow)
Model details →
Hermes 4 70B FP8
70B
llama
Commercial OK
Quant: Q4_K_MContext: 2,048VRAM: 54.9 GBHeadroom: 12.3 GBTTFT: slow
  • • Partial CPU offload: ~13% of layers run on CPU
16
tok/s
Estimated
Weights
42.26 GB
KV cache
8.75 GB
Activations
2.12 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2169 ms (slow)
Model details →

What if you upgraded?

Hypothetical scenarios. We re-ran the compatibility engine for each.

+32 GB system RAM

~$80–150

Doubles your CPU-offload working set. Helps when models don't quite fit in VRAM.

Unlocks: 24 new tradeoff

  • • Llama 4 Scout
  • • Llama 3.3 70B Instruct
  • • DeepSeek R1 Distill Llama 70B
  • • Gemma 3 27B
Shop this upgrade↗

Upgrade to NVIDIA A100 80GB SXM

see current pricing

80 GB VRAM (vs your 48 GB) plus a bandwidth jump from ~1008 GB/s to ~2039 GB/s.

Unlocks: 15 new comfortable

  • • Gemma 3 27B
  • • DeepSeek R1 Distill Llama 70B
  • • ALIA 40b instruct 2601
  • • Llama 3.1 70B Instruct
Shop this upgrade↗

Add a second NVIDIA RTX 4090 48GB (China-mod)

~$2400

Tensor parallelism splits the model across both cards, effectively doubling VRAM. Bandwidth doesn't double — runs ~1.5× the single-card speed in practice.

Unlocks: 25 new comfortable

  • • Gemma 3 27B
  • • ALIA 40b instruct 2601
  • • Llama 3.1 Nemotron 70B Instruct
  • • DeepSeek R1 Distill Llama 70B
Shop this upgrade↗

Some links above are affiliate links. We may earn a commission at no extra cost to you. How we make money.

Won't run
top 5 popular models

Need more memory than you have. Shown for orientation.

DeepSeek V4 Pro (1.6T MoE)
1600B
deepseek
Commercial OK

Even with CPU offload, needs more memory than your VRAM (48 GB) + 60% of system RAM (19 GB) combined.

—
Qwen 3.5 235B-A17B (MoE)
397B
qwen
Commercial OK

Even with CPU offload, needs more memory than your VRAM (48 GB) + 60% of system RAM (19 GB) combined.

—
Qwen 3 235B-A22B
235B
qwen
Commercial OK

Even with CPU offload, needs more memory than your VRAM (48 GB) + 60% of system RAM (19 GB) combined.

—
DeepSeek R1 (671B reasoning)
671B
deepseek
Commercial OK

Even with CPU offload, needs more memory than your VRAM (48 GB) + 60% of system RAM (19 GB) combined.

—
Llama 4 Scout
109B
llama
Commercial OK

Even with CPU offload, needs more memory than your VRAM (48 GB) + 60% of system RAM (19 GB) combined.

—

How to read these numbers

Measured here
Measured here - RunLocalAI ran this exact combo on owner hardware with public evidence.

Source-backed
Source-backed / community - a reproduced public source supports the speed, but it is not labeled as owner-measured.

Extrapolated
Extrapolated - predicted from a measured benchmark on similar-bandwidth hardware.

Estimated
Estimated - formula based on VRAM bandwidth and model architecture; not a benchmark row.

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