Skip to main content

Quantize binary for InstructLab

Project description

instructlab-quantize

llama.cpp's quantize binary for InstructLab on macOS ARM64.

quantize program was written by 'the ggml authors' for llama.cpp. License:

MIT License

Copyright (c) 2023-2024 The ggml authors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

instructlab_quantize-0.0.4.tar.gz (669.8 kB view details)

Uploaded Source

Built Distribution

instructlab_quantize-0.0.4-py3-none-any.whl (656.4 kB view details)

Uploaded Python 3

File details

Details for the file instructlab_quantize-0.0.4.tar.gz.

File metadata

  • Download URL: instructlab_quantize-0.0.4.tar.gz
  • Upload date:
  • Size: 669.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for instructlab_quantize-0.0.4.tar.gz
Algorithm Hash digest
SHA256 f4eabcb9b915388f00bf91ec11798b93eb7ef1d4e46405431c192225838d2256
MD5 b135fac227659b1839a7cbf8a7b840b8
BLAKE2b-256 fe008d4c9c20e5d969b46755eb8b2148e073b334dad0d7f8596cc98ded6d6352

See more details on using hashes here.

File details

Details for the file instructlab_quantize-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for instructlab_quantize-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 e99e9ed7c901864b34aa30611ca2f14f28cd8a0adf2fa57d0151c43721f3e179
MD5 af290c9df1b5a4dd4559111c32dca263
BLAKE2b-256 b73cb51a3bd0c8ca2753a12c6ccf1cb65d3056f1c5aa97b4668f54d6e642dd27

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page