unconst/Affine-5czsc2fc98-r206-merged

TEXT GENERATIONPricing:Input $0.4 / Cached $0.07 / Output $4Concurrent Unit Cost:3Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 14, 2026Architecture:Transformer Featherless Exclusive Cold

The unconst/Affine-5czsc2fc98-r206-merged model is a 35.1 billion parameter language model, derived from a LoRA merge of kevin954/Affine-5dfqbbh8ev-sft. With a context length of 32768 tokens, this model is noted as a private TTL insurance checkpoint. Its primary differentiator lies in its specific origin as a salvaged merged checkpoint, intended for internal use rather than a public submission.

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Model Overview

The unconst/Affine-5czsc2fc98-r206-merged model is a substantial 35.1 billion parameter language model with a context window of 32768 tokens. It originates from a LoRA merge of the kevin954/Affine-5dfqbbh8ev-sft checkpoint.

Key Characteristics

  • Parameter Count: 35.1 billion parameters, indicating a large-scale model capable of complex language understanding and generation tasks.
  • Context Length: Supports a significant context window of 32768 tokens, allowing it to process and generate longer sequences of text while maintaining coherence.
  • Origin: This model is a salvaged merged checkpoint, specifically noted as a private TTL insurance asset. This suggests it is an internal development or backup rather than a publicly released, fully validated model.

Intended Use

This model is described as a "private TTL insurance" checkpoint and "not a submission until Stage-5 gate clears." This implies it is primarily for internal development, testing, or as a safeguard, and not yet intended for general public use or deployment in production environments where stability and full validation are critical.