Add files using upload-large-folder tool

f459a9c verified 5 months ago

1.73 kB

license: other
license_name: proprietary
license_link: >-
  https://huggingface.co/AbteeXAILab/lumynax-embed-e5-mistral-7b/resolve/main/LICENSE.txt
library_name: python
pipeline_tag: feature-extraction
language:
  - en
tags:
  - lumynax
  - lumynax-embed-e5-mistral-7b
  - embeddings
  - abteex-ai-labs
  - local-first

LumynaX Embed E5 Mistral 7B

LumynaX Embed E5 Mistral 7B is a hydrated LumynaX embedding package built from the official intfloat/e5-mistral-7b-instruct checkpoint and wrapped for local-first vector generation.

Provenance

upstream base model: intfloat/e5-mistral-7b-instruct
packaging identity: LumynaX from AbteeX AI Labs
weight claim: this package hydrates the official upstream checkpoint and does not claim a private weight merge

Runtime Shape

supported input modalities: text
output modality: embedding
local runtime: Python embedding stack
capability focus: This package exposes instruction-aware dense embeddings for retrieval and ranking.

Quick Start

pip install -r requirements.txt
python quickstart.py "LumynaX packages local models for retrieval."

Included Files

merged_model/: hydrated upstream model payload
quickstart.py: local embedding runner
hf_space/: bundled browser demo shell retained for release continuity
release_export_manifest.json: standalone runtime metadata for this hydrated embedding package

Publisher

organization / lab: AbteeX AI Labs
website: https://abteex.com
Hugging Face owner account: AbteeXAILab
recommended model repo: AbteeXAILab/lumynax-embed-e5-mistral-7b
recommended local model name: lumynax-embed-e5-mistral-7b