Llama-3.2-1B-Instruct-FP8-dynamic vs h2ovl-mississippi-2b

Specs, VRAM requirements and download trends — updated 8 August 2026.

RedHatAI · A
Params
1.5 B
Context
131,072
30d
283 K
llama3.2 licence · conditional
h2oai · B
Params
2.2 B
Context
30d
230 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.2-1B-Instruct-FP8-dynamic h2ovl-mississippi-2b
Parameters 1.5 B 2.2 B
Architecture LlamaForCausalLM H2OVLChatModel
Context length 131,072
Licence llama3.2 apache-2.0
Commercial use Conditional Allowed
Languages 8 1
Downloads 30d 283,247 230,010
Downloads all time 13.8 M 9.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-25 2024-10-15

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

1.6 M230 K
Llama-3.2-1B-Instruct-FP8-dynamic h2ovl-mississippi-2b A overtook B on 20 Aug

VRAM side by side

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

h2ovl-mississippi-2b · fp16 5.6 GB / 24 GB
✅ Runs comfortably
Llama-3.2-1B-Instruct-FP8-dynamic · fp16 @ 128K ctx 6.3 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons