MosaicML
MPT-30B-Instruct
旧版
May 2023发布日期8K tokens上下文Apache 2.0许可证50 良好质量
MPT-30B-Instruct (30B parameters) requires approximately 46.8 GB of VRAM with Q5_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 54 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run MPT-30B-Instruct on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "mosaicml/mpt-30b-instruct" \
--hf-file "mpt-30b-instruct-Q5_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters30B
Architecturedense
Context8K tokens
Modalitytext
Min RAM11.7 GB
Rec. RAM21.6 GB (Q5_K_M)
LicenseApache 2.0
FamilyMPT
✓ Chat✓ Reasoning
About this model
相关模型
快速推荐
最佳硬件
MPT-30B-Instruct 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 | 11.7 GB | Low | — |
Q3_K_S | 3 | 14.7 GB | Low | — |
NVFP4 | 4 | 16.8 GB | Medium | — |
Q4_K_M | 4 | 18.3 GB | Medium | — |
Q5_K_M | 5 | 21.6 GB | High | — |
Q6_K | 6 | 24.6 GB | High | — |
Q8_0 | 8 | 32.1 GB | Very High | — |
F16 | 16 | 61.5 GB | Maximum | — |
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
Weights21.6 GB
KV Cache23.4 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — MPT-30B-Instruct
另请参阅