👁 01.AI
01.AI
Yi 1.5 34B
Current
15.7KDownloads278LikesMay 2024Released4K tokensContextApache 2.0License32 BasicQuality
Yi 1.5 34B (34B parameters) requires approximately 26.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 31 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Yi 1.5 34B on your machine.
Run
lms load Yi-1.5-34B-Chat && lms server startQuick specs
Parameters34B
Architecturedense
Context4K tokens
Modalitytext
Min RAM13.3 GB
Rec. RAM20.7 GB (Q4_K_M)
LicenseApache 2.0
FamilyYi
✓ Chat✓ Reasoning
About this model
Related models
Your hardware
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Quick picks
Best budgetB
Mac mini M4 64GB~$1,099 — 8 tok/s
Best overallB
NVIDIA A100 40GB~$10,000 — 68 tok/sBest hardware
Top picks for Yi 1.5 34B
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 | 13.3 GB | Low | — |
Q3_K_S | 3 | 16.7 GB | Low | — |
NVFP4 | 4 | 19.0 GB | Medium | — |
Q4_K_M | 4 | 20.7 GB | Medium | — |
Q5_K_M | 5 | 24.5 GB | High | — |
Q6_K | 6 | 27.9 GB | High | — |
Q8_0 | 8 | 36.4 GB | Very High | — |
F16 | 16 | 69.7 GB | Maximum | — |
Quality benchmarks
Yi 1.5 34B benchmark scores
Coding
SWE-bench Verified—
HumanEval+75.2%
Aider Polyglot—
LiveCodeBench—
Reasoning
MMLU-Pro39.1%
GPQA Diamond15.3%
MATH-50027.7%
ARC Challenge—
General
Chatbot Arena—
IFEval60.7%
Source: official · 2024-05-13
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights20.7 GB
KV Cache3.7 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Yi 1.5 34B
See also