Feature Extraction
sentence-transformers
Safetensors
English
Chinese
multilingual
qwen3_5
multimodal
embeddings
retrieval
quantization
mixed-precision
int8
w8a8
mrl
cross-modal
text-embeddings
image-embedding
video-embedding
custom_code
Eval Results (legacy)
8-bit precision
Instructions to use ewin-reg/WeMM-Embedding-2B-INT8-Wide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ewin-reg/WeMM-Embedding-2B-INT8-Wide with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ewin-reg/WeMM-Embedding-2B-INT8-Wide", trust_remote_code=True) 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
Download build_report.json from ewin-reg/WeMM-Embedding-2B-INT8-Wide: direct link, hf CLI and curl.
- Browser
- Download file 631 Bytes
-
https://huggingface.co/ewin-reg/WeMM-Embedding-2B-INT8-Wide/resolve/main/build_report.json
- Command line
-
hf download hf://ewin-reg/WeMM-Embedding-2B-INT8-Wide/build_report.json
-
curl -L -o build_report.json https://huggingface.co/ewin-reg/WeMM-Embedding-2B-INT8-Wide/resolve/main/build_report.json
631 Bytes
| { | |
| "scheme": "block64", | |
| "group": 64, | |
| "embed_group": 64, | |
| "upgraded_int4": true, | |
| "out_bytes": 2350488742, | |
| "shards": 4, | |
| "seconds": 82.52611017227173, | |
| "classes": { | |
| "int8_linear": { | |
| "tensors": 138, | |
| "bytes": 804771840, | |
| "rel_err": 0.005860740723050527 | |
| }, | |
| "int8_embed": { | |
| "tensors": 1, | |
| "bytes": 531879232, | |
| "rel_err": 0.005985005108957773 | |
| }, | |
| "int8_from_int4": { | |
| "tensors": 146, | |
| "bytes": 974782464, | |
| "rel_err": 0.005491739938344664 | |
| }, | |
| "copy_int4_g16": { | |
| "tensors": 0, | |
| "bytes": 0, | |
| "rel_err": null | |
| }, | |
| "copy_f32": { | |
| "tensors": 332, | |
| "bytes": 18783488, | |
| "rel_err": null | |
| } | |
| } | |
| } |