Llama-3.2-1B-Instruct vs zeta-2.1-autoround-W4A16

Specs, VRAM requirements and download trends — updated 20 September 2026.

meta-llama · A
Params
1.2 B
Context
30d
7.0 M
llama3.2 licence · conditional
LeaderboardModel1 · B
Params
2.2 B
Context
32,768
30d
427 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.2-1B-Instruct zeta-2.1-autoround-W4A16
Parameters 1.2 B 2.2 B
Architecture LlamaForCausalLM LlamaForCausalLM
Context length 32,768
Licence llama3.2
Commercial use Conditional Unknown
Languages 8
Downloads 30d 7,000,841 427,115
Downloads all time 103.7 M 429 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-09-18 2026-05-21

Download trend

Daily snapshots, last 55 days (28 Jul – 20 Sep)

10.4 M197 K
Llama-3.2-1B-Instruct zeta-2.1-autoround-W4A16

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Llama-3.2-1B-Instruct · fp16 3.4 GB / 24 GB
✅ Runs comfortably
zeta-2.1-autoround-W4A16 · fp16 7.6 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons