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llama-3-Nephilim-v3-8BGrimjim
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8B Params FP8 Open Weights Inference Available

grimjim/llama-3-Nephilim-v3-8B is an 8 billion parameter language model, merged using the task arithmetic method from a Meta Llama 3 base and tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1. This model is designed to be creative, with promptsteering employed to vary text generation output and mitigate common Llama 3 8B failings. It is particularly effective for creative text generation and can be used for roleplay, despite not being explicitly trained for it.

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Parameters:8BContext length:8kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:July 2024
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grimjim/llama-3-Nephilim-v3-8B
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.

1

top_p

This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.

0.95

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.

0.5

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.

0.5

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.

1.1

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.

0.05