Model reference · open weights

Llama-3.2-QLORA_INT4_EO8

LLMs meta-llama Text gen 1 build Open, with conditions 216 dl/mo

Llama-3.2-QLORA_INT4_EO8 is an open-weight language model from Meta. Llama-3.2-1B-Instruct-QLORA_INT4_EO8 (INT4) weighs 1.6 GB; the smallest configuration that runs it is RTX 3060 12 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • Llama-3.2-QLORA_INT4_EO8 is a 1.23B parameter text-generation model developed by Meta, designed for multilingual dialogue, agentic retrieval, and summarization tasks.
  • The model supports eight languages, including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai, and operates with an 8k context length.
  • It is distributed under the llama3.2 license and utilizes a 4-bit groupwise quantization scheme for weights and 8-bit dynamic quantization for activations.

Summary of the meta-llama/Llama-3.2-1B-Instruct-QLORA_INT4_EO8 model card, 2026-10-01

What it is

Released byMeta
Released2024-10-23
VRAM1.6 GB for the weights

What it runs on

Memory and cards for Llama-3.2-1B-Instruct-QLORA_INT4_EO8 (INT4)

1.6 GBweights, file size
762 MBruntime overhead, at least

How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.

CardWeights alone
RTX 3060 12 GBfits
RTX 4060 Ti 16 GBfits
RTX 3090 24 GBfits
RTX 4090 24 GBfits
RTX 5090 32 GBfits
L40S 48 GBfits
A100 80 GBfits
H100 80 GBfits
RTX PRO 6000 Blackwell 96 GBfits
DGX Spark (GB10) 128 GB unifiedfits
H200 141 GBfits
B200 180 GBfits

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.
© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms