Llama-3.1-8B-Instruct vs JiRackUltra_14b

Specs, VRAM requirements and download trends — updated 21 September 2026.

meta-llama · A

Llama-3.1-8B-Instruct

Params

8.0 B

Context

—

30d

5.9 M

llama3.1 licence · conditional

CMSManhattan · B

JiRackUltra_14b

Params

14.8 B

Context

131,072

30d

1.0 M

mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Llama-3.1-8B-Instruct	JiRackUltra_14b
Parameters	8.0 B	14.8 B
Architecture	LlamaForCausalLM	Qwen2ForCausalLM
Context length	—	131,072
Licence	llama3.1	mit
Commercial use	Conditional	Allowed
Languages	8	13
Downloads 30d	5,910,102	1,000,579
Downloads all time	185.1 M	1.0 M
Quantizations on the Hub	SAFETENSORS	GGUF, SAFETENSORS
Gated	Yes — accept licence	No
First seen on the Hub	2024-07-18	2026-08-03

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

8.0 M229 K

Llama-3.1-8B-Instruct JiRackUltra_14b

VRAM side by side

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

JiRackUltra_14b · Q4_K_M 12.6 GB / 24 GB

✅ Runs comfortably

Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB

✅ Runs comfortably

JiRackUltra_14b · fp16 @ 128K ctx 68.4 GB / 24 GB

❌ Won’t fit

Adjacent comparisons

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

Llama-3.1-8B-Instruct vs Qwen2.5-7B-Instruct-AWQ

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