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Llama-MiraiFanfare-3.3-70BKaraKaraWitch
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70B Params FP8 Inference Available

Llama-MiraiFanfare-3.3-70B by KaraKaraWitch is a 70 billion parameter language model, merged using the TIES method with EVA-LLaMA-3.33-70B-v0.0 as its base. This model is specifically tweaked to reduce verbosity and enhance creative output, offering a 32K context length. It is optimized for creative text generation, providing a more steerable alternative to models like Qwen2.5 for imaginative tasks.

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Parameters:70BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:Available
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KaraKaraWitch/Llama-MiraiFanfare-3.3-70B
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.

1.5

top_p

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

–

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.

1.05

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.

0.05