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Salamandra 7B Instruct

Barcelona Supercomputing Center (ALIA) · Salamandra · released 2026-06-30 · data checked 2026-11-03

Salamandra 7B Instruct is a 7.8B-parameter dense model from Barcelona Supercomputing Center (ALIA) (Europe), released 2026-06-30 under the Apache-2.0 license. It doesn't have enough reported benchmarks for an index score yet. It needs about 6.4 GB of memory at 4-bit with an 8K-token context.

Small LM Index
—
Needs 2 core benchmarks (has 0)
Parameters
7.8B
Dense
Price per 1M tokens
—
No hosted API on OpenRouter; self-host
Context window
164K
tokens

Benchmarks

Each bar shows this model's score. The tick marks the best small model on that benchmark.

No benchmark results for this release yet. Know of one? Send it.

Earlier version: Salamandra 7B Instruct (2024) Earlier version

Published for the previous release, not this one. Shown for context only: they don't count toward the index or appear in tables. Measured by another lab. Source: huggingface.co, arxiv.org.

Multilingual MMLU · EU20-MMLU, average over EU official languages47.3
IFEval53.4

Specifications

Lab
Barcelona Supercomputing Center (ALIA) (ES · Europe)
Architecture
Dense transformer
Total parameters
7.8B
Active parameters
All (dense)
Size class
Small
Context window
164K tokens
Input modalities
text
Reasoning
Instruct (no thinking)
License
Apache-2.0
Openness
Open weights
Memory to run
~6.4 GB at 4-bit, 8K context (more sizes)
Hugging Face
9K downloads (30 days) · 3 likes

Compare with

Sources

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Run it locally

No GGUF build from a well-known publisher yet.

vLLM (GPU server)
vllm serve BSC-LT/salamandra-7b-instruct-2606
Full-precision weights, for a server GPU.

Memory needed: weights, context cache and runtime buffers.

Quantization4K context32K context164K context
16-bit F1617 GB20 GB38 GB
8-bit Q8_09.4 GB13 GB30 GB
4-bit Q4_K_M5.9 GB9.7 GB27 GB

Check it against your GPU, Mac or phone →