Hugging Face The allenai/Llama-3.1-Tulu-3-8B-SFT is an 8 billion parameter instruction-following model developed by Allen Institute for AI, fine-tuned from Meta's Llama 3.1 base model. It is part of the Tülu3 family, which provides fully open-source data, code, and recipes for post-training techniques. This model is designed for strong performance across diverse tasks, including chat, mathematical reasoning (MATH, GSM8K), and instruction following (IFEval), with a context length of 32768 tokens.
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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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