Mradermacher
HelpingAI2.5 5B i1
Limited data available — some specs may be incomplete or estimated.
0K tokensContextUnknownLicense3 EntryQuality
HelpingAI2.5 5B i1 (5B parameters) requires approximately 5.4 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
Parameters5B
Architecturedense
Context0K tokens
Modalitytext
Min RAM2 GB
Rec. RAM3.1 GB (Q4_K_M)
LicenseUnknown
FamilyUnknown
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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 | 2.0 GB | Low | — |
Q3_K_S | 3 | 2.5 GB | Low | — |
NVFP4 | 4 | 2.8 GB | Medium | — |
Q4_K_M | 4 | 3.1 GB | Medium | — |
Q5_K_M | 5 | 3.6 GB | High | — |
Q6_K | 6 | 4.1 GB | High | — |
Q8_0 | 8 | 5.4 GB | Very High | — |
F16 | 16 | 10.3 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights3.1 GB
KV Cache0.6 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — HelpingAI2.5 5B i1
See also