DeepSeek V2.5 vs DeepSeek v2 Lite Chat

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

DeepSeek V2.5

DeepSeek · 235.7B

Chat
DeepSeek v2 Lite Chat

DeepSeek · 15.7B

Chat

Specifications

DeepSeek V2.5DeepSeek v2 Lite Chat
Parameters235.7B15.7B
Context164K164K
ArchitectureDeepseekV2ForCausalLMDeepseekV2ForCausalLM
LicenseOtherOther
Downloads8.5K1.1M
ReleasedJun 2024

VRAM by Quantization: DeepSeek V2.5 vs DeepSeek v2 Lite Chat

QuantizationBitsDeepSeek V2.5 VRAMDeepSeek v2 Lite Chat VRAM
Q2_K3.407.4 GB
Q3_K_M3.908.4 GB
Q3_K_S3.507.6 GB
Q4_04.008.6 GB
Q4_K_M4.80144.3 GB10.2 GB
Q5_K_M5.7011.9 GB
Q6_K6.60197.3 GB13.7 GB
Q8_08.00238.6 GB16.5 GB

Verdict

DeepSeek v2 Lite Chat needs less VRAM at Q4_K_M (10.2 GB vs 144.3 GB), so it fits on smaller GPUs. DeepSeek v2 Lite Chat is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, DeepSeek V2.5 or DeepSeek v2 Lite Chat?

At Q4_K_M, DeepSeek V2.5 needs 144.3 GB and DeepSeek v2 Lite Chat needs 10.2 GB, so DeepSeek v2 Lite Chat is the lighter option to run locally.

Which has a longer context window, DeepSeek V2.5 or DeepSeek v2 Lite Chat?

DeepSeek V2.5 supports 163,840 tokens and DeepSeek v2 Lite Chat supports 163,840 tokens.

What is the difference between DeepSeek V2.5 and DeepSeek v2 Lite Chat?

DeepSeek V2.5 is a 235.7B model from DeepSeek (DeepSeek V2 family), while DeepSeek v2 Lite Chat is a 15.7B model from DeepSeek (DeepSeek V2 family). Compare their VRAM requirements above to see which fits your GPU or Mac.