invisietch/L3.1-70Blivion-v0.1-rc1-70B
Hugging Face
TEXT GENERATIONConcurrency Cost:4Model Size:70BQuant:FP8Ctx Length:32kPublished:Oct 24, 2024License:llama3.1Architecture:Transformer0.0K Warm

The invisietch/L3.1-70Blivion-v0.1-rc1-70B is a 70 billion parameter causal language model, based on a merge of L3.1 Nemotron 70B and Euryale 2.2, with a 32768 token context length. This release candidate model has undergone a healing training step to further decensor it and improve issues from the merge. It is specifically designed and optimized for creative writing and roleplay scenarios.

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Model Overview

invisietch/L3.1-70Blivion-v0.1-rc1-70B is a 70 billion parameter release candidate model, built upon a merge of NVIDIA's Llama-3.1-Nemotron-70B-Instruct-HF and Sao10K/L3.1-70B-Euryale-v2.2. This model has undergone a subsequent QLoRA training step over two epochs using a mix of public and private datasets, primarily aimed at further decensoring the model and addressing issues arising from the initial merge. It maintains Llama 3.1's long context capabilities with a 16384 sequence length during training.

Key Capabilities & Characteristics

  • Optimized for Creative Writing & Roleplay: Specifically designed to excel in generating engaging and immersive content for these applications.
  • Reduced Censorship: Significantly less censored than its Nemotron 70B base, with further decensoring achieved through training.
  • Llama-3 Instruct Format: Recommended prompting format for optimal performance.
  • Long Context: Trained with a 16384 sequence length to preserve long context understanding.

Known Issues (Release Candidate)

  • Still somewhat censored, though less than Nemotron 70B.
  • May reproduce parts of the system prompt in its output.
  • Can shy away from NSFL content, though this can be mitigated with system prompts.

Use Cases

This model is particularly well-suited for:

  • Creative Storytelling: Generating detailed and imaginative narratives.
  • Interactive Roleplay: Acting as a gamemaster or character in complex roleplay scenarios.
  • Content Generation: Producing descriptive and engaging text for various creative projects.
Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p