Download meta.json from vocabradar/WordEmbedding: direct link, hf CLI and curl.
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- Download file 8.63 kB
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https://huggingface.co/datasets/vocabradar/WordEmbedding/resolve/main/meta.json
- Command line
-
hf download hf://datasets/vocabradar/WordEmbedding/meta.json
-
curl -L -o meta.json https://huggingface.co/datasets/vocabradar/WordEmbedding/resolve/main/meta.json
8.63 kB
| { | |
| "version": 1, | |
| "generatedAt": "2026-10-20T10:00:46", | |
| "dataset": "vocabradar/WordEmbedding", | |
| "layout": "data/<lang>.words.txt + data/<lang>.int8.vector", | |
| "model": { | |
| "repo": "hotchpotch/bekko-embedding-v1-a25m-GGUF", | |
| "file": "bekko-embedding-v1-a25m-BF16.gguf", | |
| "sha256": "f85eda97336c37afd448a280153cd96f0bb19abfc4b3ae753f0aaaa9e093d559", | |
| "base_model": "hotchpotch/bekko-embedding-v1-a25m", | |
| "architecture": "ModernBERT", | |
| "license": "MIT", | |
| "quantization": "BF16", | |
| "active_parameters": 24900000, | |
| "dimension": 384, | |
| "matryoshka": [ | |
| 256, | |
| 128, | |
| 64 | |
| ], | |
| "pooling": "mean", | |
| "normalization": "l2", | |
| "context_length": 8192, | |
| "runtime": "version: 0.4.1-dev (build 10964, commit b29c606e2)" | |
| }, | |
| "format": { | |
| "words": "UTF-8, one word per line, cleaned wordfreq frequency order", | |
| "vectors": "int8, row-major, N x 384; row i = line i (0-based) of the words file", | |
| "scale": 127.0, | |
| "dequantize": "v = int8 / 127.0 (each row was L2-normalized before quantization)", | |
| "cosine": "dot(q_a, q_b) / 127^2, after casting to float32/int32 (int8 matmul overflows)" | |
| }, | |
| "source": { | |
| "dataset": "vocabradar/wordfreq", | |
| "version": 4, | |
| "generatedAt": "2026-10-12T12:08:58" | |
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