anthracite-org/magnum-v3-27b-kto

The anthracite-org/magnum-v3-27b-kto is a 27 billion parameter language model developed by Anthracite, fine-tuned on top of IntervitensInc/gemma-2-27b-chatml. This model is the 12th in a series designed to replicate the prose quality of Claude 3 models, specifically Sonnet and Opus. It was developed using multiple KTO runs on top of an SFT run, focusing on enhancing prose generation. The model is instruction-tuned with ChatML formatting and has a context length of 32768 tokens, making it suitable for detailed conversational and creative writing tasks.

Cold
Public
27B
FP8
32768
License: gemma
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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