NeuralNovel/Panda-7B-v0.1

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jan 1, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

NeuralNovel/Panda-7B-v0.1 is a 7 billion parameter language model developed by NeuralNovel, fine-tuned from Mistral-7B-Instruct-v0.2. This model is specifically optimized for generating detailed, creative, and logical responses within diverse narratives. It excels in creative writing, roleplay, and logical problem-solving tasks, making it suitable for applications requiring nuanced and engaging text generation.

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Overview

NeuralNovel/Panda-7B-v0.1 is a 7 billion parameter model, fine-tuned by NeuralNovel from the Mistral-7B-Instruct-v0.2 base. It is released under the Apache-2.0 license, allowing for both commercial and non-commercial use. The model was fine-tuned using the proprietary Panda-v1 dataset, with a focus on generating instructive and narrative text.

Key Capabilities

  • Detailed Narrative Generation: Designed to produce comprehensive and engaging stories.
  • Creative Writing: Optimized for imaginative and nuanced text creation.
  • Roleplay: Excels in generating character-driven interactions and scenarios.
  • Logical Problem Solving: Capable of providing logical and coherent responses within narrative contexts.

Training Details

The fine-tuning process involved 3 epochs with a batch size of 12 and a learning rate of 1e-5. The model aims to combine versatility, character engagement, and nuanced writing capabilities.

Limitations and Out-of-Scope Use

The model's performance may be suboptimal in scenarios outside of instructive and narrative text generation. Users should be aware of potential biases or limitations inherited from the training data and exercise caution, as some inherent genre or writing bias might exist.

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
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