moonshotai/Kimi-Dev-72B
Kimi-Dev-72B is a 72.7 billion parameter open-source coding Large Language Model developed by Moonshot AI, specifically optimized for software engineering tasks. It achieves a new state-of-the-art performance of 60.4% on SWE-bench Verified among open-source models. The model is trained using large-scale reinforcement learning, autonomously patching real repositories and passing entire test suites to ensure robust solutions. It is primarily designed for issue resolution and code generation in real-world development scenarios.
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.
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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.
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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.