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Archaeo-12BDelta Vector
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12B Params FP8 Inference Available

Delta-Vector/Archaeo-12B is a 12 billion parameter merged language model developed by Delta-Vector, specifically optimized for roleplaying and creative writing tasks. This model is a slerp merge of Rei-12B and Francois-Huali-12B, designed to enhance narrative generation and character interaction. It utilizes ChatML formatting for instruction-following and is available in GGUF and EXL2 quantization formats.

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Parameters:12BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:February 2025
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Delta-Vector/Archaeo-12B
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.

0.83

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

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.

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