nothingiisreal/MN-12B-Starcannon-v2

The nothingiisreal/MN-12B-Starcannon-v2 is a 12 billion parameter language model with a 32768 token context length, created by nothingiisreal through a TIES merge of MN-12B-Celeste-V1.9 and mini-magnum-12b-v1.1. This model is noted for its creative output and higher verbosity, aiming to provide a less constrained alternative to models like Claude. It is designed for creative text generation tasks where detailed and imaginative responses are desired.

Warm
Public
12B
FP8
32768
License: apache-2.0
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.