unconst/Affine-5czsc2fc98-r508-sbsv5-offline-dpo-hialpha-midrank-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-r508-sbsv5-offline-dpo-hialpha-midrank-lobeta-longctx-extrasteps-merged model is a 35.1 billion parameter language model with a 32768 token context length. It is a LoRA-merged checkpoint derived from kevin954/Affine-5dfqbbh8ev-sft. This model is noted as private TTL insurance, indicating a specialized or internal development focus rather than general public release.

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Model Overview

The unconst/Affine-5czsc2fc98-r508-sbsv5-offline-dpo-hialpha-midrank-lobeta-longctx-extrasteps-merged is a substantial language model featuring 35.1 billion parameters and an extended 32768 token context length. This model represents a LoRA-merged checkpoint, specifically derived from the kevin954/Affine-5dfqbbh8ev-sft base.

Key Characteristics

  • Parameter Count: 35.1 billion, indicating a large-scale model capable of complex language understanding and generation.
  • Context Length: 32768 tokens, allowing for processing and generating very long sequences of text, beneficial for tasks requiring extensive context.
  • Origin: It is a LoRA-merged checkpoint, suggesting fine-tuning or adaptation from a previous model, kevin954/Affine-5dfqbbh8ev-sft.
  • Status: Described as "Private TTL insurance; not a submission until Stage-5 gate clears," which implies it is an internal or specialized version, not yet intended for broad public use or general applications.

Potential Use Cases

Given its private and developmental status, this model is likely intended for:

  • Internal Research and Development: For specific, possibly proprietary, tasks within the developer's ecosystem.
  • Specialized Applications: Where the unique characteristics of its training or merging process are particularly relevant.
  • Long-Context Tasks: Its significant context window makes it suitable for applications requiring deep understanding of extensive documents or conversations.