vectorch-sllm
Placeholder for sllm (formerly ScaleLLM), a high-performance LLM inference
engine, published on PyPI as vectorch-sllm and imported as sllm. The first
release under this name is coming soon; see https://github.com/vectorch-ai/sllm.
Metadata
Release files for vectorch-sllm 0.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vectorch_sllm-0.0.0.tar.gz | 789 Bytes | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vectorch_sllm-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 kB
Release files / vectorch_sllm-0.0.0.tar.gz
| Download URL | vectorch_sllm-0.0.0.tar.gz |
|---|---|
| Size | 789 Bytes |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Release files / vectorch_sllm-0.0.0-py3-none-any.whl
| Download URL | vectorch_sllm-0.0.0-py3-none-any.whl |
|---|---|
| Size | 1.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|