vicgalle/CarbonBeagle-11B

vicgalle/CarbonBeagle-11B is a 10.7 billion parameter language model created by vicgalle, resulting from a linear merge of vicgalle/NeuralBeagle-11B and jeonsworld/CarbonVillain-en-10.7B-v4. This model, with a 4096-token context length, is an experimental merge of different architectures and sizes, demonstrating strong performance in its size class on the Open LLM Leaderboard. It is optimized for general language understanding and reasoning tasks, achieving an average score of 74.64 on the Open LLM Leaderboard at its creation.

Warm
Public
10.7B
FP8
4096
License: cc-by-nc-sa-4.0
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.
–