Nomic AI
Nomic Embed Text v1.5
当前
17.6M下载量838点赞Feb 2024发布日期8K tokens上下文Apache 2.0许可证76 优秀质量
Nomic Embed Text v1.5 (0.13699999451637268B parameters) requires approximately 2.6 GB of VRAM with F16 quantization. For the best balance of quality and speed, we recommend hardware with at least 3 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Nomic Embed Text v1.5 on your machine.
Run
ollama run nomic-embed-textQuick specs
Parameters0.14B
Architecturedense
Context8K tokens
Modalityembedding
Min RAM0.1 GB
Rec. RAM0.3 GB (F16)
LicenseApache 2.0
FamilyNomic Embed
✓ RAG
About this model
- •Nomic: https://nomic.ai
- •Discord: https://discord.gg/myY5YDR8z8
- •Twitter: https://twitter.com/nomic_ai
快速推荐
最佳硬件
Nomic Embed Text v1.5 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 | 0.1 GB | Low | — |
Q3_K_S | 3 | 0.1 GB | Low | — |
NVFP4 | 4 | 0.1 GB | Medium | — |
Q4_K_M | 4 | 0.1 GB | Medium | — |
Q5_K_M | 5 | 0.1 GB | High | — |
Q6_K | 6 | 0.1 GB | High | — |
Q8_0 | 8 | 0.1 GB | Very High | — |
F16 | 16 | 0.3 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
Weights0.3 GB
KV Cache0.5 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Nomic Embed Text v1.5
另请参阅