Not known Facts About feather ai

Not known Facts About feather ai

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Filtering was in depth of these public datasets, as well as conversion of all formats to ShareGPT, which was then even more remodeled by axolotl to utilize ChatML.

. Every doable subsequent token contains a corresponding logit, which represents the chance that the token could be the “appropriate” continuation from the sentence.

This permits for interrupted downloads to get resumed, and means that you can promptly clone the repo to several areas on disk without triggering a obtain once more. The downside, and The rationale why I don't checklist that as being the default alternative, would be that the data files are then concealed away inside a cache folder and It really is tougher to be aware of exactly where your disk Room is being used, also to distinct it up if/when you want to eliminate a down load design.

Instruction particulars We pretrained the designs with a large amount of info, and we article-properly trained the models with both equally supervised finetuning and immediate desire optimization.

Teknium's unique unquantised fp16 design in pytorch structure, for GPU inference and for even further conversions

: the amount of bytes between consequetive aspects in Every single dimension. In the initial dimension this will be the sizing with the primitive ingredient. In the 2nd dimension it will be the row measurement situations the dimensions of a component, and so forth. One example is, for just a 4x3x2 tensor:

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The Transformer is often a neural network architecture that's the Main on the LLM, and performs the primary inference logic.

I've had quite a bit of people question if they might contribute. I love furnishing designs and serving to individuals, and would enjoy to be able to commit far more time carrying out it, together with expanding into new tasks like high-quality tuning/training.

would be the textual content payload. In long run other data varieties is going to be bundled to aid a website multi-modal method.

The product can now be transformed to fp16 and quantized to really make it more compact, a lot more performant, and runnable on buyer components:

Note that you do not must and will not set guide GPTQ parameters anymore. They are established automatically from your file quantize_config.json.

If you're able and ready to contribute It's going to be most gratefully received and may help me to maintain offering a lot more designs, and to start out work on new AI initiatives.

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