CreitinGameplays/Mistral-Nemo-12B-R1-v0.1

CreitinGameplays/Mistral-Nemo-12B-R1-v0.1 is a 12 billion parameter language model, fine-tuned for 96 hours on 2x Nvidia RTX A6000 GPUs. This model is optimized for providing systematic, well-reasoned responses, following a specific <think>{reasoning}</think>{answer} format. It excels in generating structured, logical outputs for various prompts, making it suitable for applications requiring detailed thought processes.

Warm
Public
12B
FP8
32768
License: mit
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.
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top_p
This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.
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top_k
This limits the number of top tokens to consider. Set to -1 to consider all tokens.
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frequency_penalty
This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.
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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.
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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.
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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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