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Yi Coder 1.5B (1.5B parameters) requires approximately 2.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 4 GB of VRAM.
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No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.6 GB | Low | — |
Q3_K_S | 3 | 0.7 GB | Low | — |
NVFP4 | 4 | 0.8 GB | Medium | — |
Q4_K_M | 4 | 0.9 GB | Medium | — |
Q5_K_M | 5 | 1.1 GB | High | — |
Q6_K | 6 | 1.2 GB | High | — |
Q8_0 | 8 | 1.6 GB | Very High | — |
F16 | 16 | 3.1 GB | Maximum | — |
Hardware compatibility
Computing compatibility...
Memory breakdown
Frequently asked questions
Yi Coder 1.5B (1.5B parameters) requires approximately 2.9 GB of VRAM with Q4_K_M quantization. Lower quantizations like Q4_K_M use less memory but may reduce quality.
Yes, Intel Arc A380 6GB can run Yi Coder 1.5B with a compatibility score of 46/100. It provides 6 GB of memory and achieves approximately 21.0 tokens per second.
The recommended quantization for Yi Coder 1.5B is Q4_K_M, which offers the best balance between model quality and memory efficiency. Higher quantizations preserve more quality but require more VRAM.
The top recommended hardware for Yi Coder 1.5B: GTX 1650 4GB (score: 51/100), RTX 3050 Ti Laptop 4GB (score: 51/100), Intel Arc A370M 4GB (score: 50/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, Yi Coder 1.5B is well-suited for chat as well as coding. It was designed with these use cases in mind.
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