LLM2Vec Meta Llama 3 8B Instruct Mntp
This model from McGill NLP applies the LLM2Vec method to convert Meta's Llama 3 8B Instruct model into a powerful text embedding model using modified next-token prediction (MNTP). It produces high-quality dense vectors for semantic search, clustering, and retrieval tasks. The resulting model is fully open and available on Hugging Face.
Open SourceMITWebCLIAPI
1.7kstars
137forks
2alternatives
4features
2024since
Overview
4 featuresIn the Foundation models & chat space, LLM2Vec Meta Llama 3 8B Instruct Mntp takes a focused approach. It focuses on creating strong unsupervised text embeddings from decoder-only LLMs without massive contrastive training. It is built as an open-source project for NLP researchers and embedding model users. The project is open source (MIT). LLM2Vec Meta Llama 3 8B Instruct Mntp is available on the web, the command line, and API.
Behind LLM2Vec Meta Llama 3 8B Instruct Mntp is McGill NLP, based in Canada, and it first shipped in 2024. The project is developed in the open on GitHub with 1.7k stars. Among its 4 catalogued features are Text Embeddings, Modified Next Token Prediction, and llama 3 Base.
Summary written by a language model from the project’s public pages.
- Text Embeddings
- Modified Next Token Prediction
- Llama 3 Base
- Instruction Tuned
Tags
text-embeddingsllm2vecllama-3sentence-transformers
AI capabilities
Text
Inference: LocalWeights: Open
Built with & integrations
Hosting
AWS
AI providers
meta_llama
Runs on
BrowserCLIAPI-only
Detected from
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- meta_llama
- llama- in the HTML
Trust & compliance
License
MIT
Verified signals
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Jul · 17:09 UTCMcGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp verified against its public sourceSource: PulseGate · Open
Frequently asked questions about LLM2Vec Meta Llama 3 8B Instruct Mntp
- What is LLM2Vec Meta Llama 3 8B Instruct Mntp?
- LLM2Vec Meta Llama 3 8B Instruct Mntp focuses on creating strong unsupervised text embeddings from decoder-only LLMs without massive contrastive training. It is catalogued under Foundation models & chat on PulseGate.
- Who is LLM2Vec Meta Llama 3 8B Instruct Mntp for?
- LLM2Vec Meta Llama 3 8B Instruct Mntp is an open-source project built for NLP researchers and embedding model users.
- Is LLM2Vec Meta Llama 3 8B Instruct Mntp free?
- Yes — LLM2Vec Meta Llama 3 8B Instruct Mntp is open source under the MIT license and free to use.
- What platforms does LLM2Vec Meta Llama 3 8B Instruct Mntp run on?
- LLM2Vec Meta Llama 3 8B Instruct Mntp runs on the web, the command line, and API.
- Is LLM2Vec Meta Llama 3 8B Instruct Mntp still active?
- Unverified. LLM2Vec Meta Llama 3 8B Instruct Mntp has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- What projects are similar to LLM2Vec Meta Llama 3 8B Instruct Mntp?
- Similar projects tracked by PulseGate include LLM2Vec Meta Llama 3 8B Instruct Mntp Supervised, Meta Llama 3.1 8B Instruct, and Meta Llama 3 8B Instruct.LLM2Vec Meta Llama 3 8B Instruct Mntp SupervisedMeta Llama 3.1 8B InstructMeta Llama 3 8B Instruct
- Who develops LLM2Vec Meta Llama 3 8B Instruct Mntp?
- LLM2Vec Meta Llama 3 8B Instruct Mntp is developed by McGill NLP, based in Canada.
- When did LLM2Vec Meta Llama 3 8B Instruct Mntp launch?
- LLM2Vec Meta Llama 3 8B Instruct Mntp first shipped in 2024.
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