Qwen3-0.6B vs LFM2.5-1.2B-Instruct-GGUF

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

Qwen · A · Open weights

Params

750 M

Context

40,960

30d

20.7 M

apache-2.0 · commercial OK

LiquidAI · B · Open weights

LFM2.5-1.2B-Instruct-GGUF

Params

1.2 B

Context

128,000

30d

257 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Qwen3-0.6B	LFM2.5-1.2B-Instruct-GGUF
Parameters	750 M	1.2 B
Architecture	Qwen3ForCausalLM	—
Context length	40,960	128,000
Licence	apache-2.0	other
Commercial use	Allowed	Unknown
Languages	—	8
Downloads 30d	20,728,069	257,487
Downloads all time	261.3 M	2.0 M
Quantizations on the Hub	SAFETENSORS	GGUF, SAFETENSORS
Gated	No	No
First seen on the Hub	2025-04-27	2026-01-04

Download trend

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

31.2 M188 K

Qwen3-0.6B LFM2.5-1.2B-Instruct-GGUF

VRAM side by side

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

LFM2.5-1.2B-Instruct-GGUF · Q4_0 1.4 GB / 24 GB

✅ Runs comfortably

Qwen3-0.6B · fp16 2.3 GB / 24 GB

✅ Runs comfortably

LFM2.5-1.2B-Instruct-GGUF · fp16 @ 125K ctx 8.5 GB / 24 GB

✅ Runs comfortably

Adjacent comparisons

Qwen3-0.6B vs Qwen2.5-0.5B-Instruct

Qwen3-0.6B vs Qwen2.5-1.5B-Instruct

Qwen3-0.6B vs Qwen3-1.7B

Qwen3-0.6B vs Qwen3-0.6B

Qwen3-0.6B vs pythia-160m

Qwen3-0.6B vs gpt2-large