Llama Nemotron Rerank 1B v2

Name: Llama Nemotron Rerank 1B v2
Author: NVIDIA

Catalogue only Open weights

Sovereignty and hosting

Catalogue only

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Summary

Llama Nemotron Rerank 1B v2 is a cross-encoder reranker released under the OpenMDW-1.1 licence. The model card states it was evaluated on 26 languages and works up to a sequence length of 8192 tokens, with longer texts to be chunked or truncated. It is intended for second-stage ranking after a vector search in a retrieval pipeline.

Specifications

Provider: NVIDIA (US)
Context window: 8.2k
Parameters: 1.24B
Modalities: embedding
License: other · licence
Open weights: yes
Release date: 16 Oct 2025
Tasks: rag, multilingual-support, private

Languages

Strong: en, de, fr, es, it, pt

Adequate: nl, pl, sv, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr

Languages

Strong

Adequate

Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

When to use it

Strengths

8192-token sequence length, long for a reranker
evaluated on 26 languages
OpenMDW-1.1 licence designed for open model distribution

Limits

a reranker only: no generation and no index embeddings
no public benchmark score is given on the model card
no evaluation has been run by LLM EU

Pricing

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Verification status

Where a field has no source, the card shows it as unverified instead of filling it in. An empty field is information.

LLM EU Verified means documented, not legally certified. It is not an AI Act conformity assessment and LLM EU is not an EU body.

Versions and variants

catalogue · Catalogue only · weights

Example request

curl https://api.llmeu.com/v1/chat/completions \
  -H "Authorization: Bearer $LLMEU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-nemotron-rerank-1b-v2","messages":[{"role":"user","content":"Hello"}]}'

No playground is deployed for this model: no endpoint serves it, so a request would have nowhere to go.

Benchmarks

No published evaluation. This is a gap, not a hidden result.

Sources

huggingface.co

Card changelog

16 Oct 2025 — Release date
19 Sept 2026 — Last reviewed

Last reviewed: 19 Sept 2026

Tasks

Retrieval (RAG)