anthracite-org/magnum-v4-72b

The anthracite-org/magnum-v4-72b is a 72.7 billion parameter causal language model developed by anthracite-org, fine-tuned on Qwen2.5-72B-Instruct. This model is specifically designed to replicate the prose quality of Claude 3 models, Sonnet and Opus, excelling in generating high-quality, nuanced text. It features a substantial context length of 131072 tokens, making it suitable for complex conversational and creative writing tasks.

Warm
Public
72.7B
FP8
131072
License: apache-2.0
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.
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.
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.