arcflare_
ChatE4B official

gemma3n-e4b

by Google

Google's Gemma 3n E4B instruction-tuned model for low-resource devices, effective 4B parameters, 32K context; this GGUF is text-only.

#chat#instruct#small
arcflare pull unsloth/gemma-3n-E4B-it-GGUF:Q4_K_M

[ 01 ] // quickstart

┌─ arcflare — zsh // tty1
$ 

[ 02 ] // readme

gemma3n-e4b

Google's Gemma 3n E4B instruction-tuned model for low-resource devices, effective 4B parameters, 32K context; this GGUF is text-only.

Get it

arcflare pull unsloth/gemma-3n-E4B-it-GGUF:Q4_K_M
arcflare run gemma-3n-e4b-it

ArcFlare reads the GGUF header and loads it at the largest context your free VRAM can actually hold. Use arcflare fit to see that before downloading anything else, or arcflare use opencode to code with it.

Highlights

  • Downloads the Q4_K_M file by default: 4.5 GB. Also published: Q8_0 (7.4 GB), Q6_K (6.3 GB), Q5_K_M (5 GB)
  • Trained for a 32K context
  • Licence: Gemma. Read it before commercial use

Sizes

  • e4b · 4.5GB

Other sizes live in sibling repos: swap the size in the repo name when pulling.

[ 03 ] // relatedmore →

llama3.2

Meta

Chat

Meta's 3B multilingual instruction-tuned text model, optimized for dialogue, agentic retrieval and summarization tasks.

size
3B
vram
~3 GB
license
Llama 3.2 Community

13% of a 24 GB card

#chat #instruct #small

llama3.2-1b

Meta

Chat

Meta's 1B multilingual instruction-tuned text model, optimized for dialogue, agentic retrieval and summarization tasks.

size
1B
vram
~2 GB
license
Llama 3.2 Community

8% of a 24 GB card

#chat #instruct #small

gemma3-4b

Google

Chat

Google's multimodal Gemma 3 4B instruction-tuned model: text and image input, text output, 128K context, 140+ languages.

size
4B
vram
~5 GB
license
Gemma

21% of a 24 GB card

#chat #instruct #vision