VishwamAI/vishwamai-stage1

VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 1, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

VishwamAI/vishwamai-stage1 is a 7.9 billion parameter language model developed by kasinadhsarma, finetuned from VishwamAI/vishwamai-merged. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language tasks with a context length of 32768 tokens, leveraging efficient training methodologies.

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VishwamAI/vishwamai-stage1 Overview

VishwamAI/vishwamai-stage1 is a 7.9 billion parameter language model developed by kasinadhsarma. It is a finetuned version of the VishwamAI/vishwamai-merged model, built upon the gemma4 architecture. This model distinguishes itself through its efficient training process, utilizing the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster finetuning speed.

Key Capabilities

  • Efficient Training: Leverages Unsloth for significantly faster finetuning, making it suitable for rapid iteration and deployment.
  • Large Context Window: Supports a substantial context length of 32768 tokens, allowing for processing and understanding longer inputs.
  • General Language Understanding: As a finetuned model, it is capable of handling a wide range of natural language processing tasks.

Good For

  • Developers seeking efficient finetuning: Ideal for those who need to quickly adapt a base model to specific datasets or tasks.
  • Applications requiring large context: Suitable for use cases where understanding long documents or conversations is crucial.
  • General-purpose language tasks: Can be applied to various NLP applications such as text generation, summarization, and question answering.

Finetunes
2 models