ValiantLabs/Llama3.1-8B-ShiningValiant2 is an 8 billion parameter chat model developed by Valiant Labs, built upon Meta's Llama 3.1 architecture with a 32768 token context length. This model is fine-tuned for friendship, insight, knowledge, and enthusiasm, excelling in science, engineering, technical knowledge, and structured reasoning tasks. It leverages high-quality open-source data, including specialized datasets for complex reasoning and scientific instruction. Shining Valiant 2 is designed for general chat applications requiring strong logical thinking and a broad technical knowledge base.
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ValiantLabs/Llama3.1-8B-ShiningValiant2Most 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.