HelpingAI
HelpingAI2 6B
Limited data available — some specs may be incomplete or estimated.
0K tokensContextUnknownLicense3 EntryQuality
HelpingAI2 6B (6B parameters) requires approximately 5.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 7 GB of VRAM.
Quick specs
Parameters6B
Architecturedense
Context0K tokens
Modalitytext
Min RAM2.3 GB
Rec. RAM3.7 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 | 2.3 GB | Low | — |
Q3_K_S | 3 | 2.9 GB | Low | — |
NVFP4 | 4 | 3.4 GB | Medium | — |
Q4_K_M | 4 | 3.7 GB | Medium | — |
Q5_K_M | 5 | 4.3 GB | High | — |
Q6_K | 6 | 4.9 GB | High | — |
Q8_0 | 8 | 6.4 GB | Very High | — |
F16 | 16 | 12.3 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights3.7 GB
KV Cache0.7 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — HelpingAI2 6B
See also