Llama Nemotron Rerank 1b
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and Hugging Face and has been in the index since 6 Aug 2026. How this is checked
Llama Nemotron Rerank 1B v2 is an open-weight text reranking model for ordering retrieved documents by relevance to a query. Developers can run it locally with Transformers and PyTorch for search, retrieval-augmented generation, and text-classification pipelines.
Inferred · not functionally tested
Overview
6 featuresPurpose: Improving search and retrieval quality by ranking candidate documents according to their relevance to a query.
Inferred · not functionally tested
Audience: machine learning engineers and developers
Inferred · not functionally tested
Functions: rag, data_extraction
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co · github.com. These links do not verify the individual claims.
Llama Nemotron Rerank 1b is an Embeddings & retrieval project. Inferred · not functionally tested: It focuses on improving search and retrieval quality by ranking candidate documents according to their relevance to a query. Inferred · not functionally tested: It is built as an open-source project for machine learning engineers and developers. Basis unknown · not verified: Llama Nemotron Rerank 1b is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.
Behind Llama Nemotron Rerank 1b is NVIDIA, and it first shipped in 2022. Development happens publicly on GitHub with 211 stars. Inferred · not functionally tested: Among its 6 catalogued features are text reranking, cross-encoder scoring, and transformers support.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Text reranking
- Cross-encoder scoring
- Transformers support
- PyTorch support
- Safetensors format
- Bidirectional encoding
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- bvllm in the HTML
- meta_llama
- llama- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed6 Aug · 15:08 UTCnvidia/llama-nemotron-rerank-1b-v2 seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Llama Nemotron Rerank 1b
- What does Llama Nemotron Rerank 1b do?
- Inferred · not functionally tested: Llama Nemotron Rerank 1b focuses on improving search and retrieval quality by ranking candidate documents according to their relevance to a query. It is catalogued under Embeddings & retrieval on PulseGate.
- Who should use Llama Nemotron Rerank 1b?
- Inferred · not functionally tested: Llama Nemotron Rerank 1b is an open-source project built for machine learning engineers and developers.
- Does Llama Nemotron Rerank 1b have a free plan?
- Basis unknown · not verified: Yes — Llama Nemotron Rerank 1b is open source under the Apache-2.0 license and free to use.
- What platforms does Llama Nemotron Rerank 1b run on?
- Basis unknown · not verified: Llama Nemotron Rerank 1b runs on the command line. It can also be self-hosted.
- Is Llama Nemotron Rerank 1b still active?
- PulseGate's liveness check found it on 14 Sep 2026.
- What are alternatives to Llama Nemotron Rerank 1b?
- Similar projects tracked by PulseGate include Llama Nemotron Rerank Vl 1b, Llama Nemotron Embed 1b, and Llama Nemotron Embed Vl 1b.Llama Nemotron Rerank Vl 1bLlama Nemotron Embed 1bLlama Nemotron Embed Vl 1b
- Who develops Llama Nemotron Rerank 1b?
- Llama Nemotron Rerank 1b is developed by NVIDIA.
- How long has Llama Nemotron Rerank 1b been around?
- Llama Nemotron Rerank 1b first shipped in 2022.
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