👁 01.AI
01.AI
Yi Coder 9B
Current
10.9KDownloads215LikesSep 2024Released131K tokensContextApache 2.0License31 BasicQuality
Yi Coder 9B (9B parameters) requires approximately 8.8 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.
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— copy & paste to run locallyCopy-paste commands to run Yi Coder 9B on your machine.
Run
lms load Yi-Coder-9B-Chat && lms server startQuick specs
Parameters9B
Architecturedense
Context131K tokens
Modalitytext
Min RAM3.5 GB
Rec. RAM5.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyYi
✓ Chat
About this model
- •Excelling in long-context understanding with a maximum context length of 128K tokens
- •Supporting 52 major programming languages:
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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 | 3.5 GB | Low | — |
Q3_K_S | 3 | 4.4 GB | Low | — |
NVFP4 | 4 | 5.0 GB | Medium | — |
Q4_K_M | 4 | 5.5 GB | Medium | — |
Q5_K_M | 5 | 6.5 GB | High | — |
Q6_K | 6 | 7.4 GB | High | — |
Q8_0 | 8 | 9.6 GB | Very High | — |
F16 | 16 | 18.5 GB | Maximum | — |
Quality benchmarks
Yi Coder 9B benchmark scores
Coding
SWE-bench Verified—
HumanEval+85.4%
Aider Polyglot—
LiveCodeBench—
Reasoning
MMLU-Pro15.8%
GPQA Diamond—
MATH-5004.0%
ARC Challenge—
General
Chatbot Arena—
IFEval48.2%
Source: official · 2024-09-04
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights5.5 GB
KV Cache1.5 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Yi Coder 9B
See also