zai-org/GLM-4.6
zai-org/GLM-4.6 is a 357 billion parameter language model developed by zai-org, featuring an expanded 200K token context window. It demonstrates superior performance in coding benchmarks, advanced reasoning, and enhanced agentic capabilities, including tool use and search-based agents. The model also offers refined writing that aligns with human preferences and excels in role-playing scenarios. GLM-4.6 is designed for complex agentic tasks, robust coding applications, and sophisticated reasoning challenges.
5.0 based on 1 review
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.
β
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.
β
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.
β