Qwen3.6-35B-A3B-NVFP4 vs Meta-Llama-3.1-8B-Instruct-AWQ-INT4

Specs, VRAM requirements and download trends — updated 6 August 2026.

nvidia · A
Params
18.7 B
Context
30d
11.3 M
apache-2.0 · commercial OK
hugging-quants · B
Params
8.0 B
Context
131,072
30d
167 K
llama3.1 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.6-35B-A3B-NVFP4 Meta-Llama-3.1-8B-Instruct-AWQ-INT4
Parameters 18.7 B 8.0 B
Architecture Qwen3_5MoeForConditionalGeneration LlamaForCausalLM
Context length 131,072
Licence apache-2.0 llama3.1
Commercial use Allowed Conditional
Languages 8
Downloads 30d 11,298,952 167,467
Downloads all time 19.7 M 7.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-05-27 2024-07-19

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

11.3 M167 K
Qwen3.6-35B-A3B-NVFP4 Meta-Llama-3.1-8B-Instruct-AWQ-INT4

VRAM side by side

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

Meta-Llama-3.1-8B-Instruct-AWQ-INT4 · fp16 @ 128K ctx 26.1 GB / 24 GB
❌ Won’t fit
Qwen3.6-35B-A3B-NVFP4 · fp16 29.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons