huihui-ai/Huihui-Mistral-Small-3.2-24B-Instruct-2506-abliterated
Huihui-Mistral-Small-3.2-24B-Instruct-2506-abliterated is a 24 billion parameter instruction-tuned language model derived from mistralai/Mistral-Small-3.2-24B-Instruct-2506. This model has undergone an "abliteration" process to remove refusal behaviors, making it an uncensored version. It maintains a 32768 token context length and is intended for research into uncensored LLM capabilities, particularly for text-based interactions.
Hugging Face 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.
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.
–
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.
–