What are the hardware requirements for AMALIA 9B 0626 SFT?

AMALIA 9B 0626 SFT requires approximately 18.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AMALIA 9B 0626 SFT and how large is it?

AMALIA 9B 0626 SFT is developed by amalia-llm, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate AMALIA 9B 0626 SFT?

AMALIA 9B 0626 SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AMALIA 9B 0626 SFT by amalia-llm — VRAM 18.3GB, 32K context

Name: AMALIA 9B 0626 SFT
Author: amalia-llm

AMALIA 9B 0626 SFT is an open-source language model by amalia-llm. Features: 9b LLM, VRAM: 18.3GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.31.

Arxiv:2402.19173 Arxiv:2506.04079 Arxiv:2603.26511 Conversational Dataset:amalia-llm/amalia-llm-... Endpoints compatible Llama Pt Region:eu Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/amalia-llm/AMALIA-9B-0626-SFT

AMALIA 9B 0626 SFT Parameters and Internals

LLM Name	AMALIA 9B 0626 SFT
Repository 🤗	https://huggingface.co/amalia-llm/AMALIA-9B-0626-SFT
Model Size	9b
Required VRAM	18.3 GB
Updated	2026-07-18
Maintainer	amalia-llm
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.3 GB: 4-of-4
Supported Languages	pt
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	128000
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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