Mradermacher
HelpingAI2.5 10B i1
Limited data available — some specs may be incomplete or estimated.
0K tokensContextUnknownLicense3 EntryQuality
HelpingAI2.5 10B i1 (10B parameters) requires approximately 9.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 11 GB of VRAM.
Quick specs
Parameters10B
Architecturedense
Context0K tokens
Modalitytext
Min RAM3.9 GB
Rec. RAM6.1 GB (Q4_K_M)
LicenseUnknown
FamilyUnknown
✓ Chat
Related models
Your hardware
Detecting...
Quick picks
Best hardware
Top picks for HelpingAI2.5 10B i1
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.9 GB | Low | — |
Q3_K_S | 3 | 4.9 GB | Low | — |
NVFP4 | 4 | 5.6 GB | Medium | — |
Q4_K_M | 4 | 6.1 GB | Medium | — |
Q5_K_M | 5 | 7.2 GB | High | — |
Q6_K | 6 | 8.2 GB | High | — |
Q8_0 | 8 | 10.7 GB | Very High | — |
F16 | 16 | 20.5 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights6.1 GB
KV Cache1.2 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — HelpingAI2.5 10B i1
See also