Unverified50% confidenceFactExact time

The gemma3:1b model is 815MB in size, gemma3:4b is 3.3GB, and gemma3:1b is 15% faster.

1

Sources

50%

Confidence

Medium-term (~90 days)

Relevance

10/18/2026

First Seen

Valid until: 1/16/2027

Sources

Local AI Tool Moonlight: Using Open-Source Models to Review Non-Compete Clauses So Your Side Hustle Doesn't Get You in Trouble

Related Entities

gemma3:1bmodel gemma3:4bmodel

Related Claims

UnverifiedA 4B parameter model (such as Phi-3-mini or Llama 3.2 3B) requires only approximately 8GB of VRAM and can run on a consumer-grade GPU.68% similar UnverifiedMeta的Llama 3.1提供8B/70B/405B尺寸，Google的Gemma系列提供2B/7B/27B尺寸67% similar UnverifiedThe GGUF Q4_K_M quantized version of the gemma4:26b model occupies about 20,072 MiB of VRAM, and Ollama's default context window is 32,768 tokens65% similar UnverifiedDeepSeek-V4.1-Flash has 763B parameters, BF16 weights are about 1.5 TB, the official FP4/FP8 checkpoint is 475.2 GiB, and coolbho3k's 3-bit EXL3 package compresses it to 309.3 GiB.64% similar

Cite This Claim

Stable URI

https://kongchang.com/claim/1063887

API

curl https://kongchang.com/api/v1/knowledge/claims/1063887

MCP

get_claim(id=1063887)