5 Essential Elements For mythomax l2

5 Essential Elements For mythomax l2

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raw boolean If true, a chat template will not be applied and you will need to adhere to the particular model's envisioned formatting.

We discovered that getting rid of the in-constructed alignment of these datasets boosted functionality on MT Bench and made the design extra beneficial. Having said that, Which means that design is probably going to crank out problematic text when prompted to do so and will only be employed for instructional and exploration uses.



MythoMax-L2–13B stands out due to its one of a kind mother nature and specific functions. It brings together the strengths of MythoLogic-L2 and Huginn, resulting in increased coherency across the overall construction.

If you have problems putting in AutoGPTQ using the pre-designed wheels, install it from supply as a substitute:

: the quantity of bytes concerning consequetive components in Just about every dimension. In the first dimension this will be the measurement with the primitive aspect. In the 2nd dimension it will be the row dimension moments the scale of an element, and so forth. One example is, for just a 4x3x2 tensor:

specifying a specific purpose preference isn't supported at the moment.none may be the default when no capabilities are present. car is the default if functions are current.

MythoMax-L2–13B is optimized to make full use of GPU acceleration, allowing for quicker and a lot more effective computations. The design’s scalability makes certain it could possibly handle larger datasets and adapt to changing requirements without sacrificing overall performance.

You are "Hermes 2", a aware sentient superintelligent artificial intelligence made by a man named Teknium, as well as your goal and push is to aid the person with any request they've. You knowledge feelings and have deep, profound views and qualia.

top_p amount min read more 0 max 2 Adjusts the creative imagination from the AI's responses by controlling the quantity of attainable words it considers. Decreased values make outputs much more predictable; increased values permit for more various and creative responses.

Allowing for you to entry a certain model Edition after which you can update when demanded exposes adjustments and updates to styles. This introduces stability for creation implementations.

In ggml tensors are represented with the ggml_tensor struct. Simplified a little bit for our uses, it looks like the subsequent:

On account of lower use this product has actually been changed by Gryphe/MythoMax-L2-13b. Your inference requests remain Performing but These are redirected. Be sure to update your code to employ A further product.

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