Llama-3.2-1B-Instruct-FP8-dynamic vs h2ovl-mississippi-800m
Specs, VRAM requirements and download trends — updated 6 August 2026.
RedHatAI · A · Open weights
Params
1.5 B
Context
131,072
30d
170 K
llama3.2 licence · conditional
h2oai · B · Open weights
Params
830 M
Context
—
30d
242 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-800m |
|---|---|---|
| Parameters | 1.5 B | 830 M |
| Architecture | LlamaForCausalLM | H2OVLChatModel |
| Context length | 131,072 | — |
| Licence | llama3.2 | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 8 | 1 |
| Downloads 30d | 170,223 | 241,743 |
| Downloads all time | 13.9 M | 9.0 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-25 | 2024-10-16 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.1 M170 K
Llama-3.2-1B-Instruct-FP8-dynamic
h2ovl-mississippi-800m
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
h2ovl-mississippi-800m · fp16
2.4 GB / 24 GB
Llama-3.2-1B-Instruct-FP8-dynamic · fp16 @ 128K ctx
6.3 GB / 24 GB