lodrick-the-lafted/Olethros-8B

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kLicense:llama3Architecture:Transformer0.0K Warm

Olethros-8B is an 8 billion parameter instruction-tuned language model developed by lodrick-the-lafted, based on the L3-8b architecture. This model is specifically fine-tuned using approximately 6000 Opus generations, aiming to enhance its expressive quality and "sovl." It features an 8192-token context length and is optimized for generating nuanced and engaging text outputs.

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Olethros-8B: An Expressive 8B Instruction-Tuned Model

Olethros-8B is an instruction-tuned large language model developed by lodrick-the-lafted, built upon the L3-8b architecture. This model distinguishes itself through its unique fine-tuning process, which involved training on approximately 6000 generations from Opus. The primary goal of this extensive fine-tuning was to imbue the model with a distinct "sovl" or expressive quality, making its outputs more engaging and nuanced.

Key Characteristics

  • Base Model: L3-8b architecture.
  • Parameter Count: 8 billion parameters.
  • Context Length: Supports an 8192-token context window.
  • Fine-tuning: Instruction-tuned with a focus on enhancing expressive generation through Opus data.

Available Quantizations

Olethros-8B is readily available in various quantized formats to facilitate broader accessibility and deployment across different hardware configurations. These include:

  • GGUF: Static GGUF quantizations provided by mradermacher.
  • AWQ: Quantizations available directly from lodrick.
  • Exl2: A wide range of exl2 quantizations, from 2.25bpw to 6.0bpw, provided by blockblockblock, offering flexibility for performance and memory trade-offs.

Potential Use Cases

Given its specialized fine-tuning, Olethros-8B is particularly well-suited for applications requiring:

  • Creative Content Generation: Crafting engaging narratives, dialogues, or descriptive text.
  • Role-playing Scenarios: Generating responses with character and depth.
  • Instruction Following: Producing high-quality outputs based on specific instructions, with an added layer of expressiveness.

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