FitMyLLM
AMD· TERASCALE 2

AMD FirePro V8800

VRAM
2 GB
BUDGET
BANDWIDTH
147.2
GB/S
MODELS Q4
47/449
10%
7B Q4 SPEED
~19
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
147.2 GB/s
FP16 COMPUTE
2.6 TFLOPS
TDP
208W
MEMORY
GDDR5
ARCHITECTURE
TeraScale 2
STREAM PROCESSORS
1,600
PCIE
Gen 2 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 FirePro V8800 (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
1454
TOK/S · 27% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
969
TOK/S · 29% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
935
TOK/S · 29% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
935
TOK/S · 29% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
511
TOK/S · 32% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
485
TOK/S · 33% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
429
TOK/S · 34% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
391
TOK/S · 35% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
391
TOK/S · 35% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
391
TOK/S · 35% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
374
TOK/S · 35% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
363
TOK/S · 35% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
344
TOK/S · 36% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
262
TOK/S · 40% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
262
TOK/S · 40% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
252
TOK/S · 40% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
230
TOK/S · 42% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
230
TOK/S · 42% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
218
TOK/S · 43% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
218
TOK/S · 43% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
218
TOK/S · 43% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
211
TOK/S · 43% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
177
TOK/S · 47% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
174
TOK/S · 47% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
162
TOK/S · 49% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
150
TOK/S · 51% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
139
TOK/S · 53% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
121
TOK/S · 57% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
119
TOK/S · 58% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
109
TOK/S · 61% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
109
TOK/S · 61% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
109
TOK/S · 61% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
109
TOK/S · 61% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
101
TOK/S · 64% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
101
TOK/S · 64% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
101
TOK/S · 64% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
97
TOK/S · 66% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
92
TOK/S · 68% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
92
TOK/S · 68% VRAM
S
Qwen2.5-Coder-1.5B1.5B
QWEN·32K CTX· CHAT· TOOL_USE· CODING
87
TOK/S · 70% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your FirePro V8800.

WHAT THIS CARD IS WORTH

FirePro V8800 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 GB44 tok/sEST
Falcon3-1B1.67B · Q5_K_M1.8 GB44 tok/sEST
LFM2-VL 1.6B1.6B · Q5_K_M1.7 GB45 tok/sEST
Falcon-H1 1.5B1.55B · Q6_K1.7 GB42 tok/sEST
Qwen2.5-Coder-1.5B1.5B · Q6_K1.6 GB43 tok/sEST
Qwen2 Math 1.5B1.5B · Q6_K1.6 GB43 tok/sEST
Qwen 2.5 1.5B1.5B · Q6_K1.6 GB43 tok/sEST
Stella en 1.5B v51.5B · Q6_K1.6 GB43 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
FirePro V88002 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

AMD FirePro V8800 — 2 GB VRAM.

FIREPRO V8800 SPEC
BRAND
AMD
VRAM
2 GB GDDR5
BANDWIDTH
147.2 GB/s
FP16 COMPUTE
2.6 TFLOPS
FP32 COMPUTE
2.6 TFLOPS
STREAM PROCESSORS
1,600
TDP
208 W
ARCHITECTURE
TeraScale 2
▸ AI CAPABILITY
47/ 449 models @ Q4

With 2 GB VRAM and 147.2 GB/s bandwidth, this GPU handles models up to 1.61B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~17 tok/s.

§ 01TOP MODELS FOR FIREPRO V8800
47 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
GPT-2 XL 1.5B1.61B1.5 GB815.1
stablelm-2-1_6b1.6B1.5 GB829.5
Falcon-H1 1.5B1.55B1.4 GB8443.8
Qwen2.5-Coder-1.5B1.5B1.4 GB8719.6
Qwen2 Math 1.5B1.5B1.4 GB8719.6
Qwen 2.5 1.5B1.5B1.4 GB8730.2
Yi Coder 1.5B1.5B1.4 GB8714.6
Stella en 1.5B v51.5B1.4 GB87
Phi-1 1.3B1.42B1.4 GB927.2
Phi-1.5 1.3B1.42B1.4 GB927.2
DeepSeek Coder 1.3B1.35B1.3 GB9716.8
EXAONE-4.0-1.2B1.3B1.3 GB10118.9
OPT 1.3B1.3B1.3 GB1015.3
MiniCPM-V 4.61.3B1.3 GB10121.5
LFM2.5-1.2B-Thinking1.2B1.2 GB10919.6
Llama-3.2-1B1.2B1.2 GB10910.1
LFM2 1.2B1.2B1.2 GB10915.6
Zamba2 1.2B1.2B1.2 GB10941.5
TinyLlama 1.1B1.1B1.2 GB11913.6
MiniCPM5 1B1.08B1.1 GB12126.5