chrischain/Satoshi1337-8B

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Apr 24, 2024License:llama3Architecture:Transformer0.0K Featherless Exclusive Warm

The chrischain/Satoshi1337-8B model is an 8 billion parameter instruction-tuned variant from the Meta Llama 3 family of large language models, developed by Meta. It utilizes an optimized transformer architecture with Grouped-Query Attention (GQA) and has an 8k context length. Optimized for dialogue use cases, this model outperforms many open-source chat models on industry benchmarks and is intended for commercial and research use in English, excelling in assistant-like chat applications.

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Model Overview

chrischain/Satoshi1337-8B is an 8 billion parameter instruction-tuned model from the Meta Llama 3 family, developed by Meta. Released on April 18, 2024, it is built on an optimized transformer architecture and features Grouped-Query Attention (GQA) for enhanced inference scalability. The model was pretrained on over 15 trillion tokens of publicly available online data, with a knowledge cutoff of March 2023, and further fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.

Key Capabilities

  • Optimized for Dialogue: Specifically instruction-tuned for assistant-like chat applications.
  • Strong Benchmark Performance: Outperforms many other open-source chat models on common industry benchmarks, showing significant improvements over Llama 2 models across various general, knowledge reasoning, and reading comprehension tasks.
  • Enhanced Safety & Helpfulness: Incorporates extensive red teaming, adversarial evaluations, and safety mitigations, with a focus on reducing false refusals compared to previous Llama versions.
  • Code Generation: Capable of generating text and code.

Good for

  • Commercial and Research Use: Intended for a broad range of applications in English.
  • Assistant-like Chat: Excels in conversational AI scenarios due to its instruction-tuned nature.
  • Natural Language Generation: Pretrained variants can be adapted for diverse NLG tasks.
  • Developers requiring robust safety features: Meta provides resources like Meta Llama Guard 2 and Code Shield to help developers implement system-level safety.

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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