👁 Alibaba
Alibaba
Qwen 2.5 Coder 1.5B
791.8KDownloads131LikesSep 2024Released33K tokensContextApache 2.0License46 BasicQuality
Qwen 2.5 Coder 1.5B (1.5B parameters) requires approximately 3.1 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.
Get started
— copy & paste to run locallyCopy-paste commands to run Qwen 2.5 Coder 1.5B on your machine.
Run
ollama run qwen2.5-coder:1.5bQuick specs
Parameters1.5B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.6 GB
Rec. RAM0.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat
About this model
- •Code-specialized: trained on 5.5T tokens of code and text-code data
- •28 layers with grouped-query attention (12 Q heads, 2 KV heads)
- •Strong code generation, reasoning, and repair capabilities
- •Apache 2.0 license for unrestricted use
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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 | 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 | — |
Quality benchmarks
Qwen 2.5 Coder 1.5B benchmark scores
Coding
SWE-bench Verified—
HumanEval+46.8%
Aider Polyglot—
LiveCodeBench—
Source: community · 2024-09-17
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights0.9 GB
KV Cache0.4 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Qwen 2.5 Coder 1.5B
See also