spiral-da-HYAH-Qwen2.5-72bKaraKaraWitch
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72.7B Params FP8 Inference Available

KaraKaraWitch/spiral-da-HYAH-Qwen2.5-72b is a 72.7 billion parameter language model created by KaraKaraWitch, built using the Model Stock merge method. It leverages rombodawg/Rombos-LLM-V2.5-Qwen-72b as its base, integrating capabilities from anthracite-org/magnum-v4-72b and AXCXEPT/EZO-Qwen2.5-72B-Instruct. This model is designed for general language tasks, benefiting from the combined strengths of its constituent models.

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Parameters:72.7BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:October 2024
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KaraKaraWitch/spiral-da-HYAH-Qwen2.5-72b
Popular Sampler Settings

Most commonly used values from Featherless users

temperature

This setting influences the sampling randomness. Lower values make the model more deterministic; higher values introduce randomness. Zero is greedy sampling.

1

top_p

This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.

1

top_k

This limits the number of top tokens to consider. Set to -1 to consider all tokens.

–

frequency_penalty

This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.

–

presence_penalty

This setting penalizes new tokens based on their presence in the generated text so far. Values > 0 encourage new tokens; < 0 encourages repetition.

–

repetition_penalty

This setting penalizes new tokens based on their appearance in the prompt and generated text. Values > 1 encourage new tokens; < 1 encourages repetition.

1.1

min_p

This setting representing the minimum probability for a token to be considered relative to the most likely token. Must be in [0, 1]. Set to 0 to disable.

0.1