What are the hardware requirements for ALIA 40B Instruct 2601?

ALIA 40B Instruct 2601 requires approximately 80.4 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ALIA 40B Instruct 2601 and how large is it?

ALIA 40B Instruct 2601 is developed by BSC-LT, a model with 40b 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 ALIA 40B Instruct 2601?

ALIA 40B Instruct 2601 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ALIA 40B Instruct 2601 by BSC-LT — VRAM 80.4GB, 160K context

Name: ALIA 40B Instruct 2601
Author: BSC-LT

ALIA 40B Instruct 2601 is an open-source language model by BSC-LT. Features: 40b LLM, VRAM: 80.4GB, Context: 160K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Arxiv:2502.08489 Base model:bsc-lt/alia-40b Base model:finetune:bsc-lt/ali... Ca Conversational Dataset:allenai/wildchat-1m Dataset:coherelabs/aya dataset Dataset:databricks/databricks-... Dataset:huggingfacefw/fineweb-... Dataset:huggingfaceh4/no robot... Dataset:open-r1/openr1-math-22... Dataset:openassistant/oasst2 Dataset:projecte-aina/coqcat Dataset:projecte-aina/dolly3k ... Dataset:projecte-aina/mentorca Dataset:projecte-aina/mentores Dataset:projecte-aina/rag mult... Dataset:unbabel/towerblocks-v0... Deploy:azure En Endpoints compatible Es Eu Gl Instruct Llama Region:eu Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BSC-LT/ALIA-40b-instruct-2601

ALIA 40B Instruct 2601 Parameters and Internals

LLM Name	ALIA 40B Instruct 2601
Repository 🤗	https://huggingface.co/BSC-LT/ALIA-40b-instruct-2601
Base Model(s)	ALIA 40B BSC-LT/ALIA-40b
Model Size	40b
Required VRAM	80.4 GB
Updated	2026-08-25
Maintainer	BSC-LT
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-17 4.9 GB: 2-of-17 4.9 GB: 3-of-17 4.8 GB: 4-of-17 4.9 GB: 5-of-17 4.9 GB: 6-of-17 4.9 GB: 7-of-17 4.8 GB: 8-of-17 4.9 GB: 9-of-17 4.9 GB: 10-of-17 4.9 GB: 11-of-17 4.8 GB: 12-of-17 4.9 GB: 13-of-17 4.9 GB: 14-of-17 4.9 GB: 15-of-17 3.0 GB: 16-of-17 4.2 GB: 17-of-17
Supported Languages	ca en es eu gl
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	163840
Model Max Length	163840
Transformers Version	4.57.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	256000

Rank the ALIA 40B Instruct 2601 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 ALIA 40B Instruct 2601

Best Alternatives	Context / RAM	Downloads	Likes
ALIA 40B Instruct 2605	160K / 80.4 GB	1109	4
ALIA 40B Fc 2605	160K / 80.4 GB	79	0

Note: green Score (e.g. "73.2") means that the model is better than BSC-LT/ALIA-40b-instruct-2601.