Bartowski
internlm2 5 20b chat
Limited data available — some specs may be incomplete or estimated.
0K tokensContextUnknownLicense3 EntryQuality
internlm2 5 20b chat (20B parameters) requires approximately 16.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 19 GB of VRAM.
Quick specs
Parameters20B
Architecturedense
Context0K tokens
Modalitytext
Min RAM7.8 GB
Rec. RAM12.2 GB (Q4_K_M)
LicenseUnknown
FamilyUnknown
✓ Chat
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 7.8 GB | Low | — |
Q3_K_S | 3 | 9.8 GB | Low | — |
NVFP4 | 4 | 11.2 GB | Medium | — |
Q4_K_M | 4 | 12.2 GB | Medium | — |
Q5_K_M | 5 | 14.4 GB | High | — |
Q6_K | 6 | 16.4 GB | High | — |
Q8_0 | 8 | 21.4 GB | Very High | — |
F16 | 16 | 41.0 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights12.2 GB
KV Cache2.3 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — internlm2 5 20b chat
See also