pythia-160m vs LFM2.5-350M-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
EleutherAI · A · Open weights
Params
210 M
Context
2,048
30d
3.5 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | pythia-160m | LFM2.5-350M-GGUF |
|---|---|---|
| Parameters | 210 M | 350 M |
| Architecture | GPTNeoXForCausalLM | — |
| Context length | 2,048 | 128,000 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | 8 |
| Downloads 30d | 3,495,753 | 164,626 |
| Downloads all time | 32.2 M | 455 K |
| Quantizations on the Hub | SAFETENSORS | GGUF, SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-02-08 | 2026-03-25 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.5 M142 K
pythia-160m
LFM2.5-350M-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
LFM2.5-350M-GGUF · Q4_0
0.8 GB / 24 GB
pythia-160m · fp16
0.9 GB / 24 GB
LFM2.5-350M-GGUF · fp16 @ 125K ctx
2.9 GB / 24 GB