Qwen3-Embedding-0.6B vs llama2-embedding-1b-8k

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
600 M
Context
32,768
30d
9.1 M
apache-2.0 · commercial OK
mesolitica · B · Open weights
Params
947 M
Context
32,768
30d
416 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-Embedding-0.6B llama2-embedding-1b-8k
Parameters 600 M 947 M
Architecture Qwen3ForCausalLM LlamaModelEmbedding
Context length 32,768 32,768
Licence apache-2.0 —
Commercial use Allowed Unknown
Languages — 1
Downloads 30d 9,129,136 416,355
Downloads all time 102.8 M 4.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-06-03 2023-10-05

Download trend

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

9.7 M389 K
Qwen3-Embedding-0.6B llama2-embedding-1b-8k

VRAM side by side

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

Qwen3-Embedding-0.6B · fp16 1.9 GB / 24 GB
✅ Runs comfortably
llama2-embedding-1b-8k · fp16 4.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons