lm-sys/FastChat

support for 4bit quantization from transfomer library.

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#1,798 opened on Jun 27, 2023

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 (7 comments) (2 reactions) (0 assignees)Python (4,736 forks)batch import
enhancementgood first issue

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Description

Loading a vicuna13B using 4bit quantization from the transformers library is possible load_in_4bit. How difficult could be for Fastach to support it?

Contributor guide

Research direction
Explore how to integrate the load in 4bit option from transformers into FastChat's model loading pipeline. Study the transformers quantization documentation and FastChat's current model loading code.
Tech stack
pythonpytorch
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonPyTorchTransformers
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60