SauerkrautLM ColQwen3 1.7B Turbo v0.1 vs SauerkrautLM ColQwen3 2B v0.1
No benchmarks in this slice.
Specs
| Spec | SauerkrautLM ColQwen3 1.7B Turbo v0.1 | SauerkrautLM ColQwen3 2B v0.1 |
|---|---|---|
| Context | 262K | 262K |
| Weights | Open | Open |
| Released | Dec 2025 | Dec 2025 |
| Max input | 262K tokens | 262K tokens |
| Languages | en, es, fr +3 | en, es, fr +3 |
| Memory (4-bit) | 1.1 GB | 1.3 GB |
| Licence | Apache-2.0 | Apache-2.0 |
| Commercial use | Allowed | Allowed |
What breaks when you switch
SauerkrautLM ColQwen3 1.7B Turbo v0.1 → SauerkrautLM ColQwen3 2B v0.1
Re-embed your whole corpus›
Vectors from different models can't be mixed.
Memory (4-bit): 1.1 GB → 1.3 GB
SauerkrautLM ColQwen3 2B v0.1 → SauerkrautLM ColQwen3 1.7B Turbo v0.1
Re-embed your whole corpus›
Vectors from different models can't be mixed.