Llama 68M vs Llama 4 Scout 17B 16E Instruct

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

Llama 68M

JackFram · 68M

Chat
Llama 4 Scout 17B 16E Instruct

Meta · 108.6B

Vision

Specifications

Llama 68MLlama 4 Scout 17B 16E Instruct
Parameters68M108.6B
Context2K
ArchitectureLlamaForCausalLM
LicenseApache 2.0Other
Downloads203.4K460.7K
ReleasedJun 2026

VRAM by Quantization: Llama 68M vs Llama 4 Scout 17B 16E Instruct

QuantizationBitsLlama 68M VRAMLlama 4 Scout 17B 16E Instruct VRAM
Q2_K3.400.0 GB50.8 GB
Q3_K_M3.900.0 GB
Q3_K_S3.500.0 GB52.3 GB
Q4_K_M4.800.0 GB
Q5_K_M5.700.1 GB
Q6_K6.600.1 GB
Q8_08.000.1 GB119.5 GB

Verdict

Llama 68M needs less VRAM at Q2_K (0.0 GB vs 50.8 GB), so it fits on smaller GPUs. Llama 4 Scout 17B 16E Instruct is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Llama 68M or Llama 4 Scout 17B 16E Instruct?

At Q2_K, Llama 68M needs 0.0 GB and Llama 4 Scout 17B 16E Instruct needs 50.8 GB, so Llama 68M is the lighter option to run locally.

What is the difference between Llama 68M and Llama 4 Scout 17B 16E Instruct?

Llama 68M is a 68M model from JackFram (Llama family), while Llama 4 Scout 17B 16E Instruct is a 108.6B model from Meta (Llama family). Compare their VRAM requirements above to see which fits your GPU or Mac.