FitMyLLM
▸ AMD· TERASCALE

AMD FireStream 9250

Running LLMs on the FireStream 9250 — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
1 GB
BUDGET
BANDWIDTH
63.5
GB/S
MODELS Q4
4/449
1%
7B Q4 SPEED
~8
USABLE
▸ MODEL COVERAGE @ Q41% 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
1 GB
BANDWIDTH
63.5 GB/s
FP16 COMPUTE
1 TFLOPS
TDP
150W
MEMORY
GDDR3
ARCHITECTURE
TeraScale
STREAM PROCESSORS
800
PCIE
Gen 2 x16
4
FAST MODELS · >30 TOK/S
Real-time chat speed
4
USABLE · >10 TOK/S
Comfortable for all tasks
4
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test FireStream 9250 (or anything bigger) without committing. Pay by the second, cancel anytime.

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

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▸ COMPATIBLE MODELS· 4
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
627
TOK/S · 54% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
418
TOK/S · 57% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
403
TOK/S · 57% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
403
TOK/S · 57% VRAM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your FireStream 9250.

WHAT THIS CARD IS WORTH

FireStream 9250 holds 4 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Qwen 3.5 0.8B 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
Qwen 3.5 0.8B0.87B · Q4_K_M0.9 GB32 tok/sEST
LFM2 700M0.74B · Q4_K_M0.9 GB35 tok/sEST
Falcon-H1R Tiny 0.6B0.6B · Q6_K0.9 GB33 tok/sEST
Falcon Perception 0.6B0.6B · Q5_K_S0.9 GB38 tok/sEST
Falcon-H1 0.5B0.52B · Q6_K0.8 GB37 tok/sEST
Qwen 2.5 0.5B0.5B · Q8_00.9 GB32 tok/sEST
SmolVLM 500M0.5B · Q6_K0.9 GB39 tok/sEST
SmolLM2 360M0.36B · Q8_00.8 GB42 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—
FireStream 92501 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 FireStream 9250 — 1 GB VRAM.

▸ FIRESTREAM 9250 SPEC
BRAND
AMD
VRAM
1 GB GDDR3
BANDWIDTH
63.5 GB/s
FP16 COMPUTE
1 TFLOPS
FP32 COMPUTE
1 TFLOPS
STREAM PROCESSORS
800
TDP
150 W
ARCHITECTURE
TeraScale
▸ AI CAPABILITY
4/ 449 models @ Q4

With 1 GB VRAM and 63.5 GB/s bandwidth, this GPU handles models up to 0.14B parameters.

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

§ 01TOP MODELS FOR FIRESTREAM 9250
4 FIT · SHOWING 4
MODELSIZEVRAM Q4TOK/SAVG
nomic-embed-text-v1.5 100M0.14B0.6 GB40362.3
GPT-2 124M0.14B0.6 GB4036.5
SmolLM2 135M0.135B0.6 GB4187.0
Falcon-H1R Tiny 90M0.09B0.5 GB627—