Alphacode-AI/AlphaMist7B-slr-v4-slow2

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:8kLicense:cc-by-4.0Architecture:Transformer0.0K Open Weights Gated Cold

Alphacode-AI/AlphaMist7B-slr-v4-slow2 is a 7 billion parameter language model, fine-tuned from Mistral-7B-v0.1 by Alphacode-AI. This model leverages an 8192-token context length and was trained using proprietary custom data. It is designed for general language tasks, benefiting from specialized fine-tuning to enhance its performance.

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Alphacode-AI/AlphaMist7B-slr-v4-slow2 Overview

Alphacode-AI/AlphaMist7B-slr-v4-slow2 is a 7 billion parameter large language model (LLM) developed by Alphacode-AI. It is based on the well-regarded mistralai/Mistral-7B-v0.1 architecture, which provides a strong foundation for its language understanding and generation capabilities. The model features an 8192-token context window, allowing it to process and generate longer sequences of text.

Key Capabilities

  • Fine-tuned Performance: This model has undergone specialized fine-tuning using Alphacode-AI's proprietary custom dataset. This process aims to enhance its general language understanding and generation, potentially improving its performance on a variety of tasks compared to the base Mistral-7B-v0.1 model.
  • Efficient Training: The fine-tuning was conducted using an A100x4 * 1 setup, leveraging DeepSpeed, HuggingFace TRL Trainer, and HuggingFace Accelerate, indicating an optimized and efficient training methodology.

Good For

  • General Language Tasks: Suitable for a broad range of applications requiring text generation, summarization, question answering, and conversational AI.
  • Applications requiring a 7B model: Offers a balance between performance and computational efficiency, making it a good choice for deployments where larger models might be too resource-intensive.

Popular Sampler Settings

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

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