FitMyLLM
▸ NVIDIA· FERMI

NVIDIA GeForce GTX 480M

Running LLMs on the GeForce GTX 480M — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
2 GB
BUDGET
BANDWIDTH
77
GB/S
MODELS Q4
47/449
10%
7B Q4 SPEED
~9
USABLE
▸ 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
77 GB/s
FP16 COMPUTE
0.6 TFLOPS
TDP
100W
MEMORY
GDDR5
ARCHITECTURE
Fermi
CUDA CORES
352
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 480M (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
684
TOK/S · 27% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
456
TOK/S · 29% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
440
TOK/S · 29% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
440
TOK/S · 29% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
241
TOK/S · 32% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
228
TOK/S · 33% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
202
TOK/S · 34% VRAM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
184
TOK/S · 35% VRAM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
184
TOK/S · 35% VRAM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
184
TOK/S · 35% VRAM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
176
TOK/S · 35% VRAM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
171
TOK/S · 35% VRAM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
162
TOK/S · 36% VRAM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
123
TOK/S · 40% VRAM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
123
TOK/S · 40% VRAM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
118
TOK/S · 40% VRAM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
108
TOK/S · 42% VRAM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
108
TOK/S · 42% VRAM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
103
TOK/S · 43% VRAM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
103
TOK/S · 43% VRAM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
103
TOK/S · 43% VRAM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
99
TOK/S · 43% VRAM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
83
TOK/S · 47% VRAM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
82
TOK/S · 47% VRAM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
76
TOK/S · 49% VRAM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
71
TOK/S · 51% VRAM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
66
TOK/S · 53% VRAM
›
A
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
57
TOK/S · 57% VRAM
›
A
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
56
TOK/S · 58% VRAM
›
A
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
51
TOK/S · 61% VRAM
›
A
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
51
TOK/S · 61% VRAM
›
A
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
51
TOK/S · 61% VRAM
›
A
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
51
TOK/S · 61% VRAM
›
A
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
47
TOK/S · 64% VRAM
›
A
OPT 1.3B1.3B
OPT·2K CTX· CHAT
47
TOK/S · 64% VRAM
›
A
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
47
TOK/S · 64% VRAM
›
A
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
46
TOK/S · 66% VRAM
›
A
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
43
TOK/S · 68% VRAM
›
A
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
43
TOK/S · 68% VRAM
›
A
Qwen2.5-Coder-1.5B1.5B
QWEN·32K CTX· CHAT· TOOL_USE· CODING
41
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 480M.

WHAT THIS CARD IS WORTH

GTX 480M 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 GB50 tok/sEST
Falcon3-1B1.67B · Q5_K_M1.8 GB49 tok/sEST
LFM2-VL 1.6B1.6B · Q5_K_M1.7 GB51 tok/sEST
Falcon-H1 1.5B1.55B · Q6_K1.7 GB45 tok/sEST
Qwen2.5-Coder-1.5B1.5B · Q6_K1.6 GB47 tok/sEST
Qwen2 Math 1.5B1.5B · Q6_K1.6 GB47 tok/sEST
Qwen 2.5 1.5B1.5B · Q6_K1.6 GB47 tok/sEST
Stella en 1.5B v51.5B · Q6_K1.6 GB47 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 480M2 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 480M — 2 GB VRAM.

▸ GEFORCE GTX 480M SPEC
BRAND
NVIDIA
VRAM
2 GB GDDR5
BANDWIDTH
77 GB/s
FP16 COMPUTE
0.6 TFLOPS
FP32 COMPUTE
0.6 TFLOPS
CUDA CORES
352
TDP
100 W
ARCHITECTURE
Fermi
▸ AI CAPABILITY
47/ 449 models @ Q4

With 2 GB VRAM and 77 GB/s bandwidth, this GPU handles models up to 1.61B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~9 tok/s.

§ 01TOP MODELS FOR GEFORCE GTX 480M
47 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
GPT-2 XL 1.5B1.61B1.5 GB385.1
stablelm-2-1_6b1.6B1.5 GB399.5
Falcon-H1 1.5B1.55B1.4 GB4043.8
Qwen2.5-Coder-1.5B1.5B1.4 GB4119.6
Qwen2 Math 1.5B1.5B1.4 GB4119.6
Qwen 2.5 1.5B1.5B1.4 GB4130.2
Yi Coder 1.5B1.5B1.4 GB4114.6
Stella en 1.5B v51.5B1.4 GB41—
Phi-1 1.3B1.42B1.4 GB437.2
Phi-1.5 1.3B1.42B1.4 GB437.2
DeepSeek Coder 1.3B1.35B1.3 GB4616.8
EXAONE-4.0-1.2B1.3B1.3 GB4718.9
OPT 1.3B1.3B1.3 GB475.3
MiniCPM-V 4.61.3B1.3 GB4721.5
LFM2.5-1.2B-Thinking1.2B1.2 GB5119.6
Llama-3.2-1B1.2B1.2 GB5110.1
LFM2 1.2B1.2B1.2 GB5115.6
Zamba2 1.2B1.2B1.2 GB5141.5
TinyLlama 1.1B1.1B1.2 GB5613.6
MiniCPM5 1B1.08B1.1 GB5726.5