Comments (5)
Qbits (intel) PenghuiCheng #660 is another qigen alternative and actively support by Intel.
from autogptq.
1.Anyone still using these?
maybe. No.
2.is fused attention actually faster than marlin even if working properly?
No, I think it's more of a legacy of fused attention and would be good to get rid of.
3.Is SYCL [SYCL] Intel SYCL runtime support for AutoGPTQ #638 a candidate to replace qigen? Intel staff is willing to actively support this in autogptq.
qigen is a kernel that makes inference possible on the CPU. If this SYCL is CPU inferable, it seems like a good idea to remove qigen.
4.With vllm's new marlin kernel that will support almost all groups sizes act-order, do we even need fused attention?
maybe. no
Additionally, it seems like a good idea to remove triton v1 and replace it with triton v2, since all the features of triton v1 are supported by v2 and it is faster.
from autogptq.
Hi @Qubitium ,
We greatly appreciate your interest in QBits. For a comprehensive introduction to QBits, please refer to the RFC. It's worth noting that QBits is still under active development, and we're committed to continuous improvement in both performance and features.
Performance enhancements:
-
Hybrid architecture CPU optimization
: We're working on in-depth performance optimization for P/E core scheduling on hybrid architecture CPUs (12th Gen Core processor and beyond). -
GEMV op optimization
: We're also optimizing performance for GEMV-like operations. -
AVX2 instruction optimization
: For client CPUs based on AVX2 instructions, we're continuously optimizing performance.
Feature enhancements:
Support for more bit weights
: We plan to support more bit weights in the future, such as 2/3 bits, and even 5/6/7 bits.
Regarding pr660 replacing qigen:
wonder if that can pr660 totally replace qigen? if cant, what other efforts should we take?
from autogptq.
I think the current Qbits can replace all parts except 2 and 3 bits of Qigen.
Qigen code:https://github.com/IST-DASLab/QIGen/tree/master
from autogptq.
I think the current Qbits can replace all parts except 2 and 3 bits of Qigen. Qigen code:https://github.com/IST-DASLab/QIGen/tree/master
hi, ITREX will release next version in late may, which support 2/3bit linear
from autogptq.
Related Issues (20)
- Llama-3 8B Instruct quantized to 8 Bit spits out gibberish in transformers `model.generate()` but works fine in vLLM? HOT 5
- [BUG]safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer
- [Question] Differences in quantization logic compared to AWQ
- [FEATURE] ADD SUPPORT DeepSeek-V2 HOT 1
- [BUG] ARM installation error
- [BUG] ROCm installation and building broken
- Target modules [] not found in the base model. Please check the target modules and try again.
- [BUG] Cannot install from source
- [BUG] Following the quant_with_alpaca.py example but keep getting "You shouldn't move a model that is dispatched using accelerate hooks." and the model is never saved. HOT 2
- [FEATURE] Models that support MOE do GPTQ
- [FEATURE] Add marlin24 support
- How to select between different kernels?
- Question about data shape difference between quantization and forward
- [FEATURE] Added code support to 5,6,7 bits quantization can you please add me as contributor I will create a new pull request HOT 4
- [BUG] Quantitative model Yi-1.5-9b-16K does not produce text output.
- How to install auto-gptq in GCC 8.5.0 environment?
- How to get a dequantized model?
- [BUG] Not able to install on Ubuntu 22.04 (subprocess-exited-with-error ) HOT 1
- [BUG]
- [FEATURE] ChatGLM Support Added
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from autogptq.