mahiatlinux/MasherAI-v6.1-7B-checkpoint2

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:8kPublished:Mar 30, 2024License:apache-2.0Architecture:Transformer Open Weights Cold

mahiatlinux/MasherAI-v6.1-7B-checkpoint2 is a 7 billion parameter Mistral-based language model developed by mahiatlinux, fine-tuned from mahiatlinux/MasherAI-v6.2-7B-checkpoint1. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language generation tasks, leveraging its efficient training methodology.

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Model Overview

mahiatlinux/MasherAI-v6.1-7B-checkpoint2 is a 7 billion parameter language model developed by mahiatlinux. It is fine-tuned from the mahiatlinux/MasherAI-v6.2-7B-checkpoint1 model and built upon the Mistral architecture.

Key Training Details

A significant aspect of this model is its training methodology. It was trained with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process. This efficiency in training suggests a streamlined development cycle and potentially optimized resource utilization.

Licensing

The model is released under the Apache-2.0 license, providing broad permissions for use, modification, and distribution.

Potential Use Cases

Given its Mistral base and efficient training, this model is suitable for a variety of general-purpose natural language processing tasks where a 7B parameter model is appropriate, including:

  • Text generation
  • Summarization
  • Question answering
  • Chatbot applications

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