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URL: https://willitrunai.com/models/hf-bartowski--internlm-januscoder-14b-gguf

⇱ internlm JanusCoder 14B VRAM Requirements — GPU Compatibility


Bartowski

internlm JanusCoder 14B

Limited data available — some specs may be incomplete or estimated.
0K tokensContextUnknownLicense3 EntryQuality

internlm JanusCoder 14B (14B parameters) requires approximately 12.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 14 GB of VRAM.

Quick specs

Parameters14B
Architecturedense
Context0K tokens
Modalitytext
Min RAM5.5 GB
Rec. RAM8.5 GB (Q4_K_M)
LicenseUnknown
FamilyUnknown
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Related models

Your hardware

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Quick picks

Best budgetC
RX 7600 XT 16GB~$329 — 20 tok/s
👁 NVIDIA
Best overallB
RTX 4080 Super 16GB~$999 — 75 tok/s

Best hardware

Top picks for internlm JanusCoder 14B

RTX 5080 Laptop 16GBB
16 GB
RTX 4080 Super 16GBB
16 GB
RTX 5080 16GBB
16 GB
RTX 5070 Ti 16GBB
16 GB
RTX 4070 Ti Super 16GBB
16 GB

Run this model

internlm JanusCoder 14B on RTX 5080 Laptop 16GBinternlm JanusCoder 14B on RTX 4080 Super 16GBinternlm JanusCoder 14B on RTX 5080 16GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
Low
Q3_K_S
3
6.9 GB
Low
NVFP4
4
7.8 GB
Medium
Q4_K_M
4
8.5 GB
Medium
Q5_K_M
5
10.1 GB
High
Q6_K
6
11.5 GB
High
Q8_0
8
15.0 GB
Very High
F16
16
28.7 GB
Maximum

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights8.5 GB
KV Cache1.6 GB
Runtime1.2 GB
Headroom0.6 GB

Frequently asked questions

FAQ — internlm JanusCoder 14B

See also

Quantization GuideScoring MethodologyVRAM Calculator