👁 Snowflake
Snowflake
Snowflake Arctic Embed L
Current
37.2KDownloads102LikesApr 2024Released1K tokensContextApache 2.0License78 StrongQuality
Snowflake Arctic Embed L (0.33500000834465027B parameters) requires approximately 4.0 GB of VRAM with F16 quantization. For the best balance of quality and speed, we recommend hardware with at least 5 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Snowflake Arctic Embed L on your machine.
Run
ollama run snowflake-arctic-embedQuick specs
Parameters0.34B
Architecturedense
Context1K tokens
Modalityembedding
Min RAM0.1 GB
Rec. RAM0.7 GB (F16)
LicenseApache 2.0
FamilyArctic Embed
✓ RAG
About this model
Your hardware
Detecting...
Quick picks
Best hardware
Top picks for Snowflake Arctic Embed L
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.1 GB | Low | — |
Q3_K_S | 3 | 0.2 GB | Low | — |
NVFP4 | 4 | 0.2 GB | Medium | — |
Q4_K_M | 4 | 0.2 GB | Medium | — |
Q5_K_M | 5 | 0.2 GB | High | — |
Q6_K | 6 | 0.3 GB | High | — |
Q8_0 | 8 | 0.4 GB | Very High | — |
F16 | 16 | 0.7 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights0.7 GB
KV Cache1.5 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Snowflake Arctic Embed L
See also