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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/stablelm 2 1 6b chat imatrix/on RTX 3070 8GB

Can it run?

Can RTX 3070 8GB run stablelm 2 1 6b chat imatrix?

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

85.7 tok/s

TTFT

2259 ms

Safe context

19K

Memory

6.6 GB / 8.0 GB

Memory breakdown

Weights3.7 GB
KV Cache0.9 GB
Runtime1.2 GB
Headroom0.8 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCTight fit85.7 tok/s3287 ms34K
ChatBRuns well85.7 tok/s1232 ms10K
CodingCTight fit85.7 tok/s2259 ms19K
RAGCTight fit85.7 tok/s4108 ms34K
ReasoningCTight fit85.7 tok/s2670 ms19K

Quantization options

How stablelm 2 1 6b chat imatrix (6B params) fits at each quantization level on RTX 3070 8GB (8.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.3 GB
LowD35
Q3_K_S
3
2.9 GB
LowD37
NVFP4
4
3.4 GB
MediumD38
Q4_K_M
4
3.7 GB
MediumD39
Q5_K_M
5
4.3 GB
HighC40
Q6_KBest for your GPU
6
4.9 GB
HighC42
Q8_0
8
6.4 GB
Very HighC44
F16
16
12.3 GB
MaximumF0

Get started

Upgrade options

Hardware that runs stablelm 2 1 6b chat imatrix well

NVIDIARTX 5070 12GBBudget pick
C115.7 tok/s decode

~$549 MSRP

NVIDIARTX 4070 12GBBest value
C103.3 tok/s decode

~$599 MSRP

NVIDIARTX 3080 10GBBiggest leap
B157.8 tok/s decode

~$699 MSRP

NVIDIARTX 2080 Ti 11GBNVIDIA upgrade
B109.4 tok/s decode

~$999 MSRP

See all results for RTX 3070 8GBSee all hardware for stablelm 2 1 6b chat imatrix