JaColBERTv2.4 safetensors download (445 MB) | Hugging Bay

Q: What is this model?

answerdotai/JaColBERTv2.4 is an embedding model for sentence similarity and retrieval published by answerdotai, added to Hugging Bay Jul 1, 2026. Model from Hugging Face for sentence similarity: answerdotai/JaColBERTv2.4 · RAGatouille

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 6 files, 445.5 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 445.2 MB.

Q: What can I download here?

Hosted here: 6 files, 445.5 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/answerdotai/JaColBERTv2.4.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-answerdotai-jacolbertv2-4/safety on Hugging Bay.

Q: Will answerdotai/JaColBERTv2.4 run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

answerdotai

JaColBERTv2.4

answerdotai/JaColBERTv2.4

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 6 of 8 filessafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-answerdotai-jacolbertv2-4/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

6 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors445 MB · 1 file Download · 445 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

6 hosted of 8 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	445.2 MB	`f2382cb1…61742aa0` `f2382cb1c531461659007469772f78b0d53a8780e8e4e24aee932d3961742aa0`	Hosted	डाउनलोड करें
Tokenizer & config
`config.json`	618 bytes	`a830976d…ad1543f6` `a830976d31afb4e5a1501428b55101b51b22d10c91617b22aac500a6ad1543f6`	Hosted	डाउनलोड करें
`special_tokens_map.json`	695 bytes	`5d5b662e…a350503a` `5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a`	Hosted	डाउनलोड करें
`tokenizer_config.json`	1.4 KB	`c1fc860b…b618ff2b` `c1fc860b700646459228f05252ce5c080001d1a84337a031ee6166aeb618ff2b`	Hosted	डाउनलोड करें
`vocab.txt`	231 KB	`5e9a696b…cdd0a784` `5e9a696b0191b833cfdf8eefada01f41f23ccbd7e7746946864260b1cdd0a784`	Hosted	डाउनलोड करें
`artifact.metadata`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	1.1 KB	`33b1c769…1097a0d8` `33b1c7690377dc35f6e419305ef37c55d7c6da5a5ab722580df9ab551097a0d8`	Hosted	डाउनलोड करें
`.gitattributes`	0 bytes	—	Upstream only	File metadata

डाउनलोड की जाँच करें

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

JaColBERTv2.4

डाउनलोड की जाँच करें

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