Nemo-12B-Marlin-v8 is a 12 billion parameter causal language model developed by UsernameJustAnother, fine-tuned from unsloth/Mistral-Nemo-Base-2407. Optimized for roleplay and storywriting, this model is designed to fit within 16GB of VRAM while supporting context lengths greater than 16K tokens. It was trained on a diverse dataset of approximately 10,000 records, including Reddit Writing Prompts, Claude instruct data, and curated chat logs, using Unsloth for efficient training.
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UsernameJustAnother/Nemo-12B-Marlin-v8Most 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.