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    Browse models provided by Infermatic (Terms of Service)

    5 models

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    • Sao10K: Llama 3.1 70B Hanami x1Llama 3.1 70B Hanami x1

      This is Sao10K's experiment over Euryale v2.2.

      by sao10k16K context$3/M input tokens$3/M output tokens
    SorcererLM 8x22BSorcererLM 8x22B

    SorcererLM is an advanced RP and storytelling model, built as a Low-rank 16-bit LoRA fine-tuned on WizardLM-2 8x22B. - Advanced reasoning and emotional intelligence for engaging and immersive interactions - Vivid writing capabilities enriched with spatial and contextual awareness - Enhanced narrative depth, promoting creative and dynamic storytelling

    by raifle16K context$4.50/M input tokens$4.50/M output tokens
  3. NVIDIA: Llama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct

    NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging Llama 3.1 70B architecture and Reinforcement Learning from Human Feedback (RLHF), it excels in automatic alignment benchmarks. This model is tailored for applications requiring high accuracy in helpfulness and response generation, suitable for diverse user queries across multiple domains. Usage of this model is subject to Meta's Acceptable Use Policy.

    by nvidia131K context$1/M input tokens$1/M output tokens
  4. Magnum v2 72BMagnum v2 72B

    From the maker of Goliath, Magnum 72B is the seventh in a family of models designed to achieve the prose quality of the Claude 3 models, notably Opus & Sonnet. The model is based on Qwen2 72B and trained with 55 million tokens of highly curated roleplay (RP) data.

    by anthracite-org33K context$3/M input tokens$3/M output tokens
  5. TheDrummer: Rocinante 12BRocinante 12B

    Rocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary with unique and expressive word choices - Enhanced creativity for vivid narratives - Adventure-filled and captivating stories

    by thedrummer33K context$0.25/M input tokens$0.50/M output tokens