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URL: https://willitrunai.com/models/hf-thebloke--japanese-stablelm-instruct-gamma-7b-gguf

⇱ japanese stablelm instruct gamma 7B VRAM Requirements — GPU Compatibility


TheBloke

japanese stablelm instruct gamma 7B

Limited data available — some specs may be incomplete or estimated.
0K tokensContextUnknownLicense4 EntryQuality

japanese stablelm instruct gamma 7B (7B parameters) requires approximately 6.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.

Quick specs

Parameters7B
Architecturedense
Context0K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseUnknown
FamilyMistral
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Related models

Your hardware

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Quick picks

👁 Intel
Best budgetC
Intel Arc A580 8GB~$179 — 59 tok/s
👁 NVIDIA
Best overallB
RTX 3080 10GB~$699 — 98 tok/s

Best hardware

Top picks for japanese stablelm instruct gamma 7B

RTX 3080 10GBB
10 GB
RTX 2080 Ti 11GBB
11 GB
GTX 1080 Ti 11GBB
11 GB
RTX 3080 Ti 12GBB
12 GB
RTX 4070 Super 12GBB
12 GB

Run this model

japanese stablelm instruct gamma 7B on RTX 3080 10GBjapanese stablelm instruct gamma 7B on RTX 2080 Ti 11GBjapanese stablelm instruct gamma 7B on GTX 1080 Ti 11GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
Low
Q3_K_S
3
3.4 GB
Low
NVFP4
4
3.9 GB
Medium
Q4_K_M
4
4.3 GB
Medium
Q5_K_M
5
5.0 GB
High
Q6_K
6
5.7 GB
High
Q8_0
8
7.5 GB
Very High
F16
16
14.3 GB
Maximum

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights4.3 GB
KV Cache0.8 GB
Runtime0.9 GB
Headroom0.6 GB

Frequently asked questions

FAQ — japanese stablelm instruct gamma 7B

See also

Quantization GuideScoring MethodologyVRAM Calculator