Llama-3.2-1B-Instruct-FP8-dynamic vs Llama-3.2-1B-Instruct-FP8

Specs, VRAM requirements and download trends — updated 13 August 2026.

RedHatAI · A · Open weights

Llama-3.2-1B-Instruct-FP8-dynamic

Params

1.5 B

Context

131,072

30d

170 K

llama3.2 licence · conditional

RedHatAI · B · Open weights

Llama-3.2-1B-Instruct-FP8

Params

1.5 B

Context

131,072

30d

185 K

llama3.2 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Llama-3.2-1B-Instruct-FP8-dynamic	Llama-3.2-1B-Instruct-FP8
Parameters	1.5 B	1.5 B
Architecture	LlamaForCausalLM	LlamaForCausalLM
Context length	131,072	131,072
Licence	llama3.2	llama3.2
Commercial use	Conditional	Conditional
Languages	8	8
Downloads 30d	170,223	185,376
Downloads all time	13.9 M	6.6 M
Quantizations on the Hub	SAFETENSORS	SAFETENSORS
Gated	No	No
First seen on the Hub	2024-09-25	2024-09-26

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

1.1 M170 K

Llama-3.2-1B-Instruct-FP8-dynamic Llama-3.2-1B-Instruct-FP8

VRAM side by side

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

Llama-3.2-1B-Instruct-FP8-dynamic · fp16 @ 128K ctx 6.3 GB / 24 GB

✅ Runs comfortably

Llama-3.2-1B-Instruct-FP8 · fp16 @ 128K ctx 6.3 GB / 24 GB

✅ Runs comfortably

Adjacent comparisons

Qwen3-0.6B vs Llama-3.2-1B-Instruct-FP8-dynamic

Qwen3-0.6B vs Llama-3.2-1B-Instruct-FP8

Qwen2.5-1.5B-Instruct vs Llama-3.2-1B-Instruct-FP8

Qwen2.5-0.5B vs Llama-3.2-1B-Instruct-FP8-dynamic

Llama-3.2-1B-Instruct-FP8-dynamic vs gpt2-large

Qwen3-0.6B-FP8 vs Llama-3.2-1B-Instruct-FP8-dynamic