martyn/solar-megamerge-dare-10.7b-v1
The martyn/solar-megamerge-dare-10.7b-v1 is a 10.7 billion parameter language model created by martyn, developed by merging seven different SOLAR-10.7B variants using the DARE merging technique. This model integrates diverse fine-tuning from its constituent models, including instruction-tuned, Platypus, Orca-Alpaca-GPT4-Math, and Synatra versions. It is designed to combine the strengths of these specialized models into a single, versatile offering, suitable for a broad range of general-purpose language tasks.
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.