The 0xgr3y/Qwen3-0.6B-Gensyn-Swarm-tall_tame_panther is a 0.8 billion parameter Qwen3-based model continuously fine-tuned using the Gensyn RL-Swarm framework with GRPO. It specializes in enhanced reasoning and mathematical capabilities, including propositional logic, arithmetic, and number system conversions, with a context length of 40960 tokens. This model is designed for real-time learning and supports GGUF for efficient local inference and edge deployment.
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0xgr3y/Qwen3-0.6B-Gensyn-Swarm-tall_tame_pantherMost 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.