microsoft/FrogBoss-32B-2510
FrogBoss-32B-2510 is a 32-billion parameter coding agent developed by Microsoft, built upon the Qwen3-32B transformer architecture with a 64k token context length. It is specifically fine-tuned on debugging trajectories generated by Claude Sonnet 4 within the BugPilot framework, combining real-world and synthetic bug datasets. This model excels at multi-turn debugging workflows, code repair, and feature-level bug resolution across complex repositories, making it highly specialized for software engineering tasks and automated bug fixing.
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.
–