AnotherMiner/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-hibernating_agile_marmot
AnotherMiner/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-hibernating_agile_marmot is a 0.5 billion parameter instruction-tuned language model. This model is based on the Qwen2.5 architecture and features an exceptionally large context length of 131,072 tokens. While specific training details are not provided, its name suggests an optimization for coding tasks and potential integration with Gensyn Swarm. It is designed for applications requiring a compact yet capable model with extensive context understanding.
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.
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top_p
This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.
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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.
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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.
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