Qwen3-0.6B vs LFM2.5-2.6B-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

LFM2.5-2.6B-GGUF

Params

2.6 B

Context

131,072

30d

187 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Qwen3-0.6B	LFM2.5-2.6B-GGUF
Parameters	750 M	2.6 B
Architecture	Qwen3ForCausalLM	—
Context length	40,960	131,072
Licence	apache-2.0	other
Commercial use	Allowed	Unknown
Languages	—	16
Downloads 30d	20,728,069	186,819
Downloads all time	261.3 M	2.5 M
Quantizations on the Hub	SAFETENSORS	GGUF, SAFETENSORS
Gated	No	No
First seen on the Hub	2025-04-27	2026-08-01

Download trend

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

31.2 M187 K

Qwen3-0.6B LFM2.5-2.6B-GGUF

VRAM side by side

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

Qwen3-0.6B · fp16 2.3 GB / 24 GB

✅ Runs comfortably

LFM2.5-2.6B-GGUF · Q4_0 2.6 GB / 24 GB

✅ Runs comfortably

LFM2.5-2.6B-GGUF · fp16 @ 128K ctx 18.6 GB / 24 GB

✅ Runs comfortably

Adjacent comparisons

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

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Qwen3-0.6B vs Qwen3-0.6B

Qwen3-0.6B vs pythia-160m

Qwen3-0.6B vs gpt2-large