unconst/Affine-5czsc2fc98-r506-sbsv5-offline-dpo-hialpha-hirank-lobeta-longctx-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-r506-sbsv5-offline-dpo-hialpha-hirank-lobeta-longctx-extrasteps-merged model is a 35.1 billion parameter language model. It is a LoRA-merged checkpoint derived from kevin954/Affine-5dfqbbh8ev-sft, featuring a 32,768 token context length. This model is noted as a private TTL insurance project, indicating a specialized application focus.

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Model Overview

The unconst/Affine-5czsc2fc98-r506-sbsv5-offline-dpo-hialpha-hirank-lobeta-longctx-extrasteps-merged is a substantial 35.1 billion parameter language model with an extended context length of 32,768 tokens. It represents a LoRA-merged checkpoint, originating from the kevin954/Affine-5dfqbbh8ev-sft base model.

Key Characteristics

  • Parameter Count: 35.1 billion parameters, indicating a large and potentially capable model.
  • Context Length: Features a long context window of 32,768 tokens, suitable for processing extensive inputs and maintaining coherence over long conversations or documents.
  • Origin: This model is a LoRA-merged checkpoint, suggesting fine-tuning or adaptation from a previous base model.
  • Project Status: Described as a "private TTL insurance" project, implying a specialized, potentially internal or domain-specific application rather than a general-purpose public release.

Potential Use Cases

Given its large parameter count and long context, this model could be suitable for:

  • Specialized Domain Tasks: Its "private TTL insurance" designation suggests it's tailored for specific industry applications.
  • Long-form Content Processing: The 32,768 token context length makes it adept at handling and generating lengthy texts, summaries, or detailed analyses.
  • Research and Development: As a merged checkpoint, it might be used for further experimentation or as a foundation for more refined models within its specific domain.