What are the hardware requirements for Salamandra 7B Instruct 2606?

Salamandra 7B Instruct 2606 requires approximately 15.6 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 Salamandra 7B Instruct 2606 and how large is it?

Salamandra 7B Instruct 2606 is developed by BSC-LT, a model with 7b 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 Salamandra 7B Instruct 2606?

Salamandra 7B Instruct 2606 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Salamandra 7B Instruct 2606 by BSC-LT — VRAM 15.6GB, 160K context

Name: Salamandra 7B Instruct 2606
Author: BSC-LT

Salamandra 7B Instruct 2606 is an open-source language model by BSC-LT. Features: 7b LLM, VRAM: 15.6GB, Context: 160K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Arxiv:2310.01377 Arxiv:2406.15513 Arxiv:2411.15124 Arxiv:2502.08489 Arxiv:2503.05731 Base model:bsc-lt/salamandra-7... Base model:finetune:bsc-lt/sal... Ca Conversational Dataset:allenai/wildchat-1m Dataset:bsc-lt/acadata 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... En Endpoints compatible Es Eu Gl Instruct Llama Region:eu Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BSC-LT/salamandra-7b-instruct-2606

Salamandra 7B Instruct 2606 Parameters and Internals

LLM Name	Salamandra 7B Instruct 2606
Repository 🤗	https://huggingface.co/BSC-LT/salamandra-7b-instruct-2606
Base Model(s)	Salamandra 7B BSC-LT/salamandra-7b
Model Size	7b
Required VRAM	15.6 GB
Updated	2026-08-24
Maintainer	BSC-LT
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 3.5 GB: 3-of-4 2.1 GB: 4-of-4 0.0 GB
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	<pad>
Vocabulary Size	256000

Rank the Salamandra 7B Instruct 2606 capabilities

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Instruction Following and Task Automation
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Note: green Score (e.g. "73.2") means that the model is better than BSC-LT/salamandra-7b-instruct-2606.