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01.AI
Yi 1.5 6B
Current
5.7KDownloads42LikesMay 2024Released4K tokensContextApache 2.0License4 EntryQuality
Yi 1.5 6B (6B parameters) requires approximately 6.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Yi 1.5 6B on your machine.
Run
lms load Yi-1.5-6B-Chat && lms server startQuick specs
Parameters6B
Architecturedense
Context4K tokens
Modalitytext
Min RAM2.3 GB
Rec. RAM3.7 GB (Q4_K_M)
LicenseApache 2.0
FamilyYi
✓ Chat
About this model
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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 | — |
Quality benchmarks
Yi 1.5 6B benchmark scores
Reasoning
MMLU-Pro24.4%
GPQA Diamond6.9%
MATH-50016.2%
ARC Challenge—
General
Chatbot Arena—
IFEval51.5%
Source: community · 2025-01-01
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights3.7 GB
KV Cache1.0 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Yi 1.5 6B
See also