BigCode
StarCoder 7B
旧版
May 2023发布日期8K tokens上下文Apache 2.0许可证56 良好质量
StarCoder 7B (7B parameters) requires approximately 13.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 16 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run StarCoder 7B on your machine.
Run
lms load starcoder-7b && lms server startQuick specs
Parameters7B
Architecturedense
Context8K tokens
Modalitycode
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyStarCoder
✓ Code✓ Reasoning
About this model
相关模型
快速推荐
最佳硬件
StarCoder 7B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | — |
Q3_K_S | 3 | 3.4 GB | Low | — |
NVFP4 | 4 | 3.9 GB | Medium | — |
Q4_K_M | 4 | 4.3 GB | Medium | — |
Q5_K_M | 5 | 5.0 GB | High | — |
Q6_K | 6 | 5.7 GB | High | — |
Q8_0 | 8 | 7.5 GB | Very High | — |
F16 | 16 | 14.3 GB | Maximum | — |
Quality benchmarks
StarCoder 7B benchmark scores
Coding
SWE-bench Verified—
HumanEval+30.4%
Aider Polyglot—
LiveCodeBench—
Source: community · 2023-05-04
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights4.3 GB
KV Cache7.3 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — StarCoder 7B
另请参阅