Arioron/Vex-Amber-Fable-2.0 is a 2-billion-parameter causal language model developed by Arioron, utilizing float32 precision and an 8k context window. It holds the world record for performance-to-parameter efficiency in the sub-3B category, particularly excelling in software engineering and coding tasks. This model demonstrates high-fidelity reasoning that matches or exceeds models with significantly more parameters. It is optimized for complex software engineering problems, coding assistance, and high-fidelity reasoning on consumer hardware.
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Arioron/Vex-Amber-Fable-2.0Most 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.