unconst/Affine-5czsc2fc98-r495-offline-dpo-hialpha-midrank-lobeta-midctx-extrasteps-merged

TEXT GENERATIONPricing:Input $0.4 / Cached $0.07 / Output $4Concurrent Unit Cost:3Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 16, 2026Architecture:Transformer Featherless Exclusive Cold

The unconst/Affine-5czsc2fc98-r495-offline-dpo-hialpha-midrank-lobeta-midctx-extrasteps-merged model is a 35.1 billion parameter language model, derived from a LoRA-merged checkpoint of kevin954/Affine-5dfqbbh8ev-sft. This model is specifically noted as being related to private TTL insurance applications. It is designed for specialized tasks within this domain, leveraging its substantial parameter count and a 32768 token context length for complex processing.

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Model Overview

The unconst/Affine-5czsc2fc98-r495-offline-dpo-hialpha-midrank-lobeta-midctx-extrasteps-merged is a substantial 35.1 billion parameter language model with a context length of 32768 tokens. It originates from a LoRA-merged checkpoint of kevin954/Affine-5dfqbbh8ev-sft.

Key Characteristics

  • Parameter Count: 35.1 billion parameters, indicating a large capacity for understanding and generating complex language patterns.
  • Context Length: Features a 32768 token context window, allowing it to process and retain information over extended inputs.
  • Origin: This model is a result of a LoRA merge, suggesting fine-tuning or adaptation from a base model for specific tasks.

Specialized Application

This model is explicitly noted for its connection to private TTL (Term Life) insurance. This indicates a highly specialized application, likely involving:

  • Processing and understanding insurance policy documents.
  • Analyzing complex insurance-related data.
  • Generating responses or insights pertinent to the TTL insurance domain.

It is important to note that this model is described as being for "private TTL insurance" and not yet a public submission, implying a focus on internal or specific enterprise use cases within the insurance sector.