Sentence Similarity
sentence-transformers
Safetensors
ministral3
text-embeddings
retrieval
rag
nvfp4
modelopt
vllm
8-bit precision
Instructions to use ibrahimkettaneh/Nemotron-3-Embed-8B-NVFP4-ModelOpt-PTQ-Experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ibrahimkettaneh/Nemotron-3-Embed-8B-NVFP4-ModelOpt-PTQ-Experimental with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ibrahimkettaneh/Nemotron-3-Embed-8B-NVFP4-ModelOpt-PTQ-Experimental") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download validation.json from ibrahimkettaneh/Nemotron-3-Embed-8B-NVFP4-ModelOpt-PTQ-Experimental: direct link, hf CLI and curl.
- Browser
- Download file 914 Bytes
-
https://huggingface.co/ibrahimkettaneh/Nemotron-3-Embed-8B-NVFP4-ModelOpt-PTQ-Experimental/resolve/main/validation.json
- Command line
-
hf download hf://ibrahimkettaneh/Nemotron-3-Embed-8B-NVFP4-ModelOpt-PTQ-Experimental/validation.json
-
curl -L -o validation.json https://huggingface.co/ibrahimkettaneh/Nemotron-3-Embed-8B-NVFP4-ModelOpt-PTQ-Experimental/resolve/main/validation.json
914 Bytes
| { | |
| "validation_type": "in-memory ModelOpt NVFP4 fake-quant graph", | |
| "pairs": 24, | |
| "lengths": { | |
| "256": { | |
| "mean_bf16_nvfp4_cosine": 0.9786386489868164, | |
| "min_bf16_nvfp4_cosine": 0.9723175764083862, | |
| "mean_score_abs_error": 0.007269359193742275, | |
| "top1_agreement": 1.0, | |
| "bf16_positive_top1": 1.0, | |
| "nvfp4_positive_top1": 1.0 | |
| }, | |
| "1024": { | |
| "mean_bf16_nvfp4_cosine": 0.9777471423149109, | |
| "min_bf16_nvfp4_cosine": 0.9705635905265808, | |
| "mean_score_abs_error": 0.008638310246169567, | |
| "top1_agreement": 1.0, | |
| "bf16_positive_top1": 1.0, | |
| "nvfp4_positive_top1": 1.0 | |
| }, | |
| "4096": { | |
| "mean_bf16_nvfp4_cosine": 0.9777042269706726, | |
| "min_bf16_nvfp4_cosine": 0.971705436706543, | |
| "mean_score_abs_error": 0.008743338286876678, | |
| "top1_agreement": 1.0, | |
| "bf16_positive_top1": 1.0, | |
| "nvfp4_positive_top1": 1.0 | |
| } | |
| } | |
| } | |