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Open weightsBarcelona Supercomputing Center/10 trustMetrics-checked
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Salamandra-7B-Instruct

Multilingual 7B trained from scratch on 35 European languages.

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About

The Barcelona Supercomputing Center's language model, trained from scratch on 35 European languages plus code — 12.875 trillion tokens of curated open-access data.

The instruct version is a proof of concept rather than a polished product (no RLHF alignment), but the Apache 2.0 license and open training scripts make it a strong base for European-language work.

Specs

Context window

8K tokens

Pricing

Free (open weights)

Free quota

None (self-host)

API access

HuggingFace, vLLM

Weights

Open weights

Released

Not disclosed

Benchmarks

Competitive with similarly-sized open models on multilingual benchmarks per the Salamandra technical report.

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

researchautomationothers

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Niche adoption centered on European-language NLP research; BSC's Language Technologies Unit maintains the family; instruct version is a proof of concept without RLHF; Apache 2.0 weights, training scripts, and configs all public. Manual review: 35-language coverage and 12.875T token figure taken from the technical report. License: Apache 2.0.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
5.0/10
Maintenance · recency, releases, issue load
6.0/10
Openness · license + docs
10.0/10
Manual review · sanity read + red-flag check
7.0/10
  • · Niche adoption centered on European-language NLP research
  • · BSC's Language Technologies Unit maintains the family; instruct version is a proof of concept without RLHF
  • · Apache 2.0 weights, training scripts, and configs all public
  • · manual review: 35-language coverage and 12.875T token figure taken from the technical report

More in the salamandra family

Sources