FitMyLLM
▸ NVIDIA· KEPLER

NVIDIA GeForce GTX 760 OEM

Running LLMs on the GeForce GTX 760 OEM — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
2 GB
BUDGET
BANDWIDTH
211
GB/S
MODELS Q4
47/449
10%
7B Q4 SPEED
~24
GOOD
▸ MODEL COVERAGE @ Q410% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
—
1.7GB NEEDED
7B
—
3.9GB NEEDED
14B
—
7.9GB NEEDED
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
2 GB
BANDWIDTH
211 GB/s
FP16 COMPUTE
2.8 TFLOPS
TDP
170W
MEMORY
GDDR5
ARCHITECTURE
Kepler
CUDA CORES
1,344
PCIE
Gen 3 x16
47
FAST MODELS · >30 TOK/S
Real-time chat speed
47
USABLE · >10 TOK/S
Comfortable for all tasks
47
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test GeForce GTX 760 OEM (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 47
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
1876
TOK/S · 27% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
1250
TOK/S · 29% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
1206
TOK/S · 29% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
1206
TOK/S · 29% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
659
TOK/S · 32% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
625
TOK/S · 33% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
553
TOK/S · 34% VRAM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
504
TOK/S · 35% VRAM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
504
TOK/S · 35% VRAM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
504
TOK/S · 35% VRAM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
482
TOK/S · 35% VRAM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
469
TOK/S · 35% VRAM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
444
TOK/S · 36% VRAM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
338
TOK/S · 40% VRAM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
338
TOK/S · 40% VRAM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
325
TOK/S · 40% VRAM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
297
TOK/S · 42% VRAM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
297
TOK/S · 42% VRAM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
281
TOK/S · 43% VRAM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
281
TOK/S · 43% VRAM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
281
TOK/S · 43% VRAM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
272
TOK/S · 43% VRAM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
228
TOK/S · 47% VRAM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
225
TOK/S · 47% VRAM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
208
TOK/S · 49% VRAM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
194
TOK/S · 51% VRAM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
180
TOK/S · 53% VRAM
›
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
156
TOK/S · 57% VRAM
›
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
153
TOK/S · 58% VRAM
›
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
141
TOK/S · 61% VRAM
›
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
141
TOK/S · 61% VRAM
›
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
141
TOK/S · 61% VRAM
›
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
141
TOK/S · 61% VRAM
›
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
130
TOK/S · 64% VRAM
›
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
130
TOK/S · 64% VRAM
›
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
130
TOK/S · 64% VRAM
›
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
125
TOK/S · 66% VRAM
›
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
119
TOK/S · 68% VRAM
›
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
119
TOK/S · 68% VRAM
›
S
Qwen2.5-Coder-1.5B1.5B
QWEN·32K CTX· CHAT· TOOL_USE· CODING
113
TOK/S · 70% VRAM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your GeForce GTX 760 OEM.

WHAT THIS CARD IS WORTH

GTX 760 OEM holds 47 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Moondream2 1.9B at Q4_K_M.

TOKENS/SEC PER $100
—
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
—
what memory costs on this card
THE BIGGEST IT TAKES
Moondream2 1.9B1.9B · Q4_K_M1.7 GB108 tok/sEST
Falcon3-1B1.67B · Q5_K_M1.8 GB105 tok/sEST
LFM2-VL 1.6B1.6B · Q5_K_M1.7 GB110 tok/sEST
Falcon-H1 1.5B1.55B · Q6_K1.7 GB99 tok/sEST
Qwen2.5-Coder-1.5B1.5B · Q6_K1.6 GB102 tok/sEST
Qwen2 Math 1.5B1.5B · Q6_K1.6 GB102 tok/sEST
Qwen 2.5 1.5B1.5B · Q6_K1.6 GB102 tok/sEST
Stella en 1.5B v51.5B · Q6_K1.6 GB102 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M2 (8GB)5 GB$5992.8 tok/s per $100
M3 (8GB)5 GB$5992.8 tok/s per $100
M1 (8GB)5 GB$4992.2 tok/s per $100
RTX 2060 6GB6 GB$15026.7 tok/s per $100
GTX 760 OEM2 GB——

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 GeForce GTX 760 OEM — 2 GB VRAM.

▸ GEFORCE GTX 760 OEM SPEC
BRAND
NVIDIA
VRAM
2 GB GDDR5
BANDWIDTH
211 GB/s
FP16 COMPUTE
2.8 TFLOPS
FP32 COMPUTE
2.8 TFLOPS
CUDA CORES
1,344
TDP
170 W
ARCHITECTURE
Kepler
▸ AI CAPABILITY
47/ 449 models @ Q4

With 2 GB VRAM and 211 GB/s bandwidth, this GPU handles models up to 1.61B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~24 tok/s.

§ 01TOP MODELS FOR GEFORCE GTX 760 OEM
47 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
GPT-2 XL 1.5B1.61B1.5 GB1055.1
stablelm-2-1_6b1.6B1.5 GB1069.5
Falcon-H1 1.5B1.55B1.4 GB10943.8
Qwen2.5-Coder-1.5B1.5B1.4 GB11319.6
Qwen2 Math 1.5B1.5B1.4 GB11319.6
Qwen 2.5 1.5B1.5B1.4 GB11330.2
Yi Coder 1.5B1.5B1.4 GB11314.6
Stella en 1.5B v51.5B1.4 GB113—
Phi-1 1.3B1.42B1.4 GB1197.2
Phi-1.5 1.3B1.42B1.4 GB1197.2
DeepSeek Coder 1.3B1.35B1.3 GB12516.8
EXAONE-4.0-1.2B1.3B1.3 GB13018.9
OPT 1.3B1.3B1.3 GB1305.3
MiniCPM-V 4.61.3B1.3 GB13021.5
LFM2.5-1.2B-Thinking1.2B1.2 GB14119.6
Llama-3.2-1B1.2B1.2 GB14110.1
LFM2 1.2B1.2B1.2 GB14115.6
Zamba2 1.2B1.2B1.2 GB14141.5
TinyLlama 1.1B1.1B1.2 GB15313.6
MiniCPM5 1B1.08B1.1 GB15626.5