What are the hardware requirements for Alloma 3B Instruct?

Alloma 3B Instruct requires approximately 6.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Alloma 3B Instruct and how large is it?

Alloma 3B Instruct is developed by uzlm, a model with 3b 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 Alloma 3B Instruct?

Alloma 3B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alloma 3B Instruct by uzlm — VRAM 6.5GB, 128K context

Name: Alloma 3B Instruct
Author: uzlm

Alloma 3B Instruct is an open-source language model by uzlm. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.27.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:behbudiy/alpaca-cleane... Dataset:behbudiy/translation-i... Dataset:huggingfacefw/fineweb-... Dataset:tahrirchi/uz-crawl Dataset:tatsu-lab/alpaca Dataset:uazimov/uzbek-instruct... Dataset:wikipedia Dataset:yakhyo/uz-wiki En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Summarization Tensorflow Tokenizer Translation Uz Uzbek Uzbekllm Uzbeknlp

Model Card on HF 🤗: https://huggingface.co/uzlm/alloma-3B-Instruct

Alloma 3B Instruct Parameters and Internals

LLM Name	Alloma 3B Instruct
Repository 🤗	https://huggingface.co/uzlm/alloma-3B-Instruct
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-08-24
Maintainer	uzlm
Model Type	llama
Instruction-Based	Yes
Model Files	0.8 GB: 1-of-3 5.0 GB: 2-of-3 0.7 GB: 3-of-3
Supported Languages	uz en
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.1
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	128257
Torch Data Type	bfloat16

Rank the Alloma 3B Instruct capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Alloma 3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1
... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0

Note: green Score (e.g. "73.2") means that the model is better than uzlm/alloma-3B-Instruct.