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Hearthfire-24BLatitudeGames
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24B Params FP8 Open Weights Inference Available

Hearthfire-24B by LatitudeGames is a 24 billion parameter narrative longform writing model, fine-tuned on Mistral Small 3.2 Instruct. It specializes in generating atmospheric, introspective, and slow-paced narratives, prioritizing 'vibes over velocity' in creative writing and roleplay scenarios. This model excels at driving plot organically without forcing dramatic events, making it suitable for immersive story generation.

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Parameters:24BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:December 2025
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LatitudeGames/Hearthfire-24B
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.

0.77

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.

75

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.

0.08