AXCXEPT/Qwen3-EZO-8B-beta is an 8-billion-parameter language model based on Qwen3-8B, developed by AXCXEPT. This model is optimized for multi-turn tasks, achieving performance comparable to larger models like Gemini 2.5 Flash and GPT-4o, with MT-Bench 9.08 and JMT-Bench 8.87 scores. It features a 32K context length and supports parallel processing of deep-thinking prompts using its 'Deep-Think' technique, making it suitable for complex reasoning tasks.
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AXCXEPT/Qwen3-EZO-8B-betaMost 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.