An experimentation regarding 'lasering' each expert to denoise and enhance model capabilities.
This model has half size in comparison to the Mixtral 8x7b Instruct. And it basically has the same level of performance (we are working to get a better MMLU score).
Laserxtral - 4x7b (all, except for base, lasered using laserRMT)
This model is a Mixture of Experts (MoE) made with
mergekit
(mixtral branch). It uses the following base models:
Here, we are controlling layers checking which ones have lower signal to noise ratios (which are more subject to noise), to apply Laser interventions, still using Machenko Pastur to calculate this ratio.
We intend to be the first of a family of experimentations being carried out @ Cognitive Computations.
In this experiment we have observed very high truthfulness and high reasoning capabilities.
Evals
Runs of cognitivecomputations laserxtral on huggingface.co
810
Total runs
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24-hour runs
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3-day runs
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7-day runs
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30-day runs
More Information About laserxtral huggingface.co Model
laserxtral huggingface.co is an AI model on huggingface.co that provides laserxtral's model effect (), which can be used instantly with this cognitivecomputations laserxtral model. huggingface.co supports a free trial of the laserxtral model, and also provides paid use of the laserxtral. Support call laserxtral model through api, including Node.js, Python, http.
laserxtral huggingface.co is an online trial and call api platform, which integrates laserxtral's modeling effects, including api services, and provides a free online trial of laserxtral, you can try laserxtral online for free by clicking the link below.
cognitivecomputations laserxtral online free url in huggingface.co:
laserxtral is an open source model from GitHub that offers a free installation service, and any user can find laserxtral on GitHub to install. At the same time, huggingface.co provides the effect of laserxtral install, users can directly use laserxtral installed effect in huggingface.co for debugging and trial. It also supports api for free installation.