▸ NVIDIA· KEPLER

NVIDIA GeForce GTX 760 OEM Rebrand

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

VRAM

2 GB

BUDGET

BANDWIDTH

179.2

GB/S

MODELS Q4

25/449

7B Q4 SPEED

~20

GOOD

▸ MODEL COVERAGE @ Q46% OF ALL

▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

—

1.7GB NEEDED

—

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

179.2 GB/s

FP16 COMPUTE

2 TFLOPS

TDP

130W

MEMORY

GDDR5

ARCHITECTURE

Kepler

CUDA CORES

1,152

PCIE

Gen 3 x16

FAST MODELS · >30 TOK/S

Real-time chat speed

USABLE · >10 TOK/S

Comfortable for all tasks

TOTAL COMPATIBLE

Fit in VRAM at Q4

▸ DON’T WANT TO BUY?

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

Rent on Vast.ai →Or RunPod →

Spin up in ~60s. Pay by the second. Cancel anytime.

Some links are affiliate links — we may earn a small commission at no extra cost to you. This helps keep FitMyLLM free and independent.

▸ COMPATIBLE MODELS· 25

Falcon-H1R Tiny 90M0.09B

FALCON·256K CTX· CHAT· REASONING

nomic-embed-text-v1.5 100M0.14B

EMBEDDING·8K CTX· CHAT

SMOLLM·8K CTX· CHAT· VISION

Snowflake Arctic Embed M v2.00.305B

EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL

bge-large-en-v1.5 335M0.335B

EMBEDDING·1K CTX· CHAT

mxbai-embed-large-v10.335B

EMBEDDING·1K CTX· EMBEDDING

Snowflake Arctic Embed L0.335B

EMBEDDING·1K CTX· EMBEDDING

LFM·125K CTX· CHAT· TOOL_USE

GPT-2 Medium 345M0.38B

SMOLLM·8K CTX· CHAT· VISION

FALCON·128K CTX· CHAT

EMBEDDING·8K CTX· EMBEDDING

Snowflake Arctic Embed L v2.00.568B

EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL

Qwen3-Embedding 0.6B0.6B

EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL

Falcon-H1R Tiny 0.6B0.6B

FALCON·32K CTX· CHAT· REASONING

Falcon Perception 0.6B0.6B

FALCON·4K CTX· VISION

LFM·125K CTX· CHAT· TOOL_USE

QWEN·32K CTX· CHAT· REASONING

GPT-2 Large 774M0.81B

▸ NEXT STEP

Get personalized recommendations.

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

▸Find models for GeForce GTX 760 OEM Rebrand Compare with other GPUs

WHAT THIS CARD IS WORTH

GTX 760 OEM Rebrand holds 25 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Falcon-H1 1.5B 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

Falcon-H1 1.5B1.55B · Q4_K_M1.3 GB117 tok/sEST

Qwen2.5-Coder-1.5B1.5B · Q4_K_M1.3 GB121 tok/sEST

Qwen2 Math 1.5B1.5B · Q4_K_M1.3 GB121 tok/sEST

Qwen 2.5 1.5B1.5B · Q4_K_M1.3 GB121 tok/sEST

Stella en 1.5B v51.5B · Q4_K_M1.3 GB121 tok/sEST

EXAONE-4.0-1.2B1.3B · Q4_K_M1.3 GB140 tok/sEST

MiniCPM-V 4.61.3B · Q5_K_M1.3 GB120 tok/sEST

LFM2.5-1.2B-Thinking1.2B · Q5_K_M1.3 GB130 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

Radeon RX 6600S4 GB$175—

GTX 760 OEM Rebrand2 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 Rebrand — 2 GB VRAM.

▸ GEFORCE GTX 760 OEM REBRAND SPEC

BRAND: NVIDIA
VRAM: 2 GB GDDR5
BANDWIDTH: 179.2 GB/s
FP16 COMPUTE: 2 TFLOPS
FP32 COMPUTE: 2 TFLOPS
CUDA CORES: 1,152
TDP: 130 W
ARCHITECTURE: Kepler

▸ AI CAPABILITY

25/ 449 models @ Q4

With 2 GB VRAM and 179.2 GB/s bandwidth, this GPU handles models up to 0.81B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~20 tok/s.

§ 01TOP MODELS FOR GEFORCE GTX 760 OEM REBRAND

25 FIT · SHOWING 20

MODEL	SIZE	VRAM Q4	TOK/S	AVG
GPT-2 Large 774M	0.81B	1.0 GB	177	5.6
Qwen3 0.6B	0.75B	0.9 GB	191	19.1
LFM2 700M	0.74B	0.9 GB	194	50.4
Qwen 1.5 0.5B	0.62B	0.9 GB	231	9.9
Qwen3-Embedding 0.6B	0.6B	0.9 GB	239	—
Falcon-H1R Tiny 0.6B	0.6B	0.9 GB	239	—
Falcon Perception 0.6B	0.6B	0.9 GB	239	—
BGE-M3	0.568B	0.8 GB	252	63.0
Snowflake Arctic Embed L v2.0	0.568B	0.8 GB	252	—
Falcon-H1 0.5B	0.52B	0.8 GB	276	41.7
Qwen 2.5 0.5B	0.5B	0.8 GB	287	19.4
SmolVLM 500M	0.5B	0.8 GB	287	—
GPT-2 Medium 345M	0.38B	0.7 GB	377	5.9
SmolLM2 360M	0.36B	0.7 GB	398	8.2
LFM2 350M	0.35B	0.7 GB	410	46.3
bge-large-en-v1.5 335M	0.335B	0.7 GB	428	62.3
mxbai-embed-large-v1	0.335B	0.7 GB	428	64.7
Snowflake Arctic Embed L	0.335B	0.7 GB	428	56.0
Snowflake Arctic Embed M v2.0	0.305B	0.7 GB	470	—
Gemma 3 270M	0.27B	0.7 GB	531	12.6