FitMyLLM
NVIDIA· PASCAL

NVIDIA GTX 1080 Ti

Running LLMs on the GTX 1080 Ti — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $200 buys

VRAM
11 GB
ENTRY-LEVEL
BANDWIDTH
484
GB/S
MODELS Q4
234/449
52%
7B Q4 SPEED
~55
BLAZING
▸ MODEL COVERAGE @ Q452% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
~129
TOK/S
7B
~55
TOK/S
14B
~28
TOK/S
32B
18.0GB NEEDED
70B
39.4GB NEEDED
▸ MEASURED RIG REPORTS

We rent the machine and time every model on it: decode, VRAM peak, concurrency, watts and cost per million tokens. Yours may already be one of them — and two are free to read in full.

SEE THE REPORTS
▸ SPECIFICATIONS
VRAM
11 GB
BANDWIDTH
484 GB/s
FP16 COMPUTE
11.3 TFLOPS
TDP
250W
MEMORY
GDDR5X
ARCHITECTURE
Pascal
CUDA CORES
3,584
PCIE
Gen 3 x16
MSRP
$200
234
FAST MODELS · >30 TOK/S
Real-time chat speed
234
USABLE · >10 TOK/S
Comfortable for all tasks
234
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test GTX 1080 Ti (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 234
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
4302
TOK/S · 5% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
2868
TOK/S · 5% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
2766
TOK/S · 5% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
2766
TOK/S · 5% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
1513
TOK/S · 6% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
1434
TOK/S · 6% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1270
TOK/S · 6% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
1156
TOK/S · 6% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
1156
TOK/S · 6% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
1156
TOK/S · 6% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
1106
TOK/S · 6% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
1076
TOK/S · 6% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
1019
TOK/S · 7% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
774
TOK/S · 7% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
774
TOK/S · 7% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
745
TOK/S · 7% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
682
TOK/S · 8% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
682
TOK/S · 8% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
645
TOK/S · 8% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
645
TOK/S · 8% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
645
TOK/S · 8% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
625
TOK/S · 8% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
523
TOK/S · 9% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
516
TOK/S · 9% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
478
TOK/S · 9% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
445
TOK/S · 9% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
412
TOK/S · 10% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
359
TOK/S · 10% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
352
TOK/S · 11% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
323
TOK/S · 11% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
323
TOK/S · 11% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
323
TOK/S · 11% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
323
TOK/S · 11% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
298
TOK/S · 12% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
298
TOK/S · 12% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
298
TOK/S · 12% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
287
TOK/S · 12% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
273
TOK/S · 12% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
273
TOK/S · 12% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
258
TOK/S · 51% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your GTX 1080 Ti.

WHAT THIS CARD IS WORTH

GTX 1080 Ti holds 234 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is Qwen3 14B at IQ4_XS.

TOKENS/SEC PER $100
26.5
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
5.50 GB
what memory costs on this card
THE BIGGEST IT TAKES
Qwen3 14B14.8B · IQ4_XS9.9 GB29 tok/sEST
Phi-3-medium-14b14B · Q4_K_S9.8 GB29 tok/sEST
Ministral 3 14B Reasoning13.95B · Q4_K_S9.7 GB29 tok/sEST
Mistral-Nemo 12.2B12.2B · Q4_K_M9.0 GB32 tok/sEST
Dolly v2 12B12B · Q4_K_M9.1 GB32 tok/sEST
gemma-3-12b12B · IQ4_XS9.8 GB36 tok/sEST
Pixtral 12B12B · IQ4_XS9.8 GB36 tok/sEST
StableLM 2 12B12B · Q4_K_M9.0 GB32 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M3 Pro (18GB)12 GB$1,5991.5 tok/s per $100
M1 Pro (16GB)11 GB$9992.9 tok/s per $100
M2 Pro (16GB)11 GB$1,2992.2 tok/s per $100
M4 (16GB)11 GB$4994.0 tok/s per $100
GTX 1080 Ti11 GB$20026.5 tok/s per $100

Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.

▸ DEVICE UNDER TEST

NVIDIA GTX 1080 Ti — 11 GB VRAM.

GTX 1080 TI SPEC
BRAND
NVIDIA
VRAM
11 GB GDDR5X
BANDWIDTH
484 GB/s
FP16 COMPUTE
11.3 TFLOPS
FP32 COMPUTE
11.3 TFLOPS
CUDA CORES
3,584
TDP
250 W
ARCHITECTURE
Pascal
MSRP
$200
▸ AI CAPABILITY
234/ 449 models @ Q4

With 11 GB VRAM and 484 GB/s bandwidth, this GPU handles models up to 13B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~55 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR GTX 1080 TI
234 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Baichuan2 13B13B8.4 GB3023.6
Llama 2 13B13B8.4 GB3017.2
CodeLlama 13B13B8.4 GB3019.7
Vicuna 13B13B8.4 GB3011.8
LLaMA 1 13B13B8.4 GB3032.9
OPT 13B13B8.4 GB3035.8
Orca 2 13B13B8.4 GB3025.4
WizardCoder Python 13B13B8.4 GB3060.1
WizardLM 13B13B8.4 GB3019.5
Mistral-Nemo 12.2B12.2B7.9 GB3222.4
Dolly v2 12B12B7.8 GB326.4
StableLM 2 12B12B7.8 GB3221.3
Falcon2 11B11B7.2 GB3533.2
Llama-3.2-11B-Vision-Instruct11B7.2 GB3534.4
SOLAR-10.7B10.7B7.0 GB3628.2
Falcon3-10B10.3B6.8 GB3838.2
GLM-4.1V 9B Thinking10.29B6.8 GB38
Bamba 9B v29.78B6.5 GB4026.1
Qwen 3.5 9B9.65B6.4 GB4050.6
RecurrentGemma 9B9.63B6.4 GB4035.0