Feature Extraction
sentence-transformers
Safetensors
English
Māori
abteex-ai-labs
aotearoa
embedding
local-first
lumynax
mistral
new-zealand
sovereign-ai
text
legacy
outdated
Instructions to use AbteeXAILab/lumynax-embed-e5-mistral-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AbteeXAILab/lumynax-embed-e5-mistral-7b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AbteeXAILab/lumynax-embed-e5-mistral-7b") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
File size: 1,804 Bytes
f459a9c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | {
"demo_repo_id": "AbteeXAILab/lumynax-embed-e5-mistral-7b-demo",
"generated_at": "2026-04-19T10:12:46.714339+00:00",
"lumynax_identity_hardcoded": true,
"lumynax_weight_adaptation_applied": false,
"model_repo_id": "AbteeXAILab/lumynax-embed-e5-mistral-7b",
"model_title": "LumynaX Embed E5 Mistral 7B",
"package_state": "upstream_weights_hydrated_embedding",
"release_line_id": "lumynax-embed-e5-mistral-7b",
"release_wave": "wave3",
"runtime_family": "e5_sentence_transformer",
"summary": "This local release hydrates the official upstream `intfloat/e5-mistral-7b-instruct` checkpoint into the LumynaX release layout for local-first embedding generation.",
"supported_modalities": [
"text",
"embedding"
],
"upstream_model_id": "intfloat/e5-mistral-7b-instruct",
"validation": {
"checks": [
"exists:release_export_manifest.json",
"exists:README.md",
"exists:quickstart.py",
"exists:requirements.txt",
"exists:LICENSE.txt",
"exists:VERSION.txt",
"exists:checksums.sha256",
"exists:artifacts/release_training_summary.json",
"exists:hf_space/app.py",
"exists:hf_space/README.md",
"exists:hf_space/requirements.txt",
"exists:ollama/Modelfile",
"exists:ollama/create_ollama_model.ps1",
"exists:merged_model/config.json",
"exists:merged_model/LUMYNAX_PACKAGE_IDENTITY.txt",
"manifest:metadata",
"training_summary:metadata",
"readme:branding",
"merged_model:weights_present",
"merged_model:tokenizer_present",
"syntax:quickstart.py",
"syntax:hf_space/app.py",
"checksums:verified"
],
"validated_at": "2026-04-19T10:29:45.525453+00:00"
},
"validation_status": "validated"
} |