zai-org/GLM-4-32B-0414
The GLM-4-32B-0414 is a 32 billion parameter model from the GLM family, pre-trained on 15T high-quality data including synthetic reasoning data. It excels in instruction following, engineering code generation, function calling, and agent tasks, with performance comparable to larger models like GPT-4o and DeepSeek-V3-0324 on specific benchmarks. This model is particularly optimized for complex reasoning and code-related applications, supporting user-friendly local deployment.
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.
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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.