Bartowski
Meta Llama 3.1 8B Instruct
Limited data available — some specs may be incomplete or estimated.
0K tokensContextUnknownLicense5 EntryQuality
Meta Llama 3.1 8B Instruct (8B parameters) requires approximately 7.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 9 GB of VRAM.
Quick specs
Parameters8B
Architecturedense
Context0K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseUnknown
FamilyLlama
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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 | 3.1 GB | Low | — |
Q3_K_S | 3 | 3.9 GB | Low | — |
NVFP4 | 4 | 4.5 GB | Medium | — |
Q4_K_M | 4 | 4.9 GB | Medium | — |
Q5_K_M | 5 | 5.8 GB | High | — |
Q6_K | 6 | 6.6 GB | High | — |
Q8_0 | 8 | 8.6 GB | Very High | — |
F16 | 16 | 16.4 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights4.9 GB
KV Cache0.9 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Meta Llama 3.1 8B Instruct
See also