The_GuageLLM_23M vs kimi-linear-tiny-random
Specs, VRAM requirements and download trends — updated 22 October 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | The_GuageLLM_23M | kimi-linear-tiny-random |
|---|---|---|
| Parameters | 20 M | 5.7 M |
| Architecture | GPT2LMHeadModel | KimiLinearForCausalLM |
| Context length | — | — |
| Licence | apache-2.0 | — |
| Commercial use | Allowed | Unknown |
| Languages | 1 | — |
| Downloads 30d | 207,376 | 149,611 |
| Downloads all time | 336 K | 457 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-12-12 | 2025-11-04 |
Download trend
Daily snapshots, last 72 days (31 Aug – 10 Nov)
324 K150 K
The_GuageLLM_23M
kimi-linear-tiny-random
A overtook B on 14 Oct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
kimi-linear-tiny-random · fp16
0.5 GB / 24 GB
The_GuageLLM_23M · fp16
0.6 GB / 24 GB