unconst/Affine-5czsc2fc98-r177-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
Affine-5czsc2fc98-r177-merged is a 35.1 billion parameter language model, merged from kevin954/Affine-5dfqbbh8ev-sft. This model has a context length of 32768 tokens and is currently under private development for TTL insurance applications. Its primary differentiator is its specific fine-tuning for specialized, private sector use cases, rather than general-purpose applications.
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Model Overview
unconst/Affine-5czsc2fc98-r177-merged is a 35.1 billion parameter language model with a substantial context length of 32768 tokens. This model is a LoRA-merged checkpoint derived from kevin954/Affine-5dfqbbh8ev-sft.
Key Characteristics
- Parameter Count: 35.1 billion parameters, indicating a large-scale model capable of complex language understanding and generation.
- Context Length: Features a 32768-token context window, allowing it to process and generate longer sequences of text while maintaining coherence.
- Development Status: Currently in a private development phase, specifically for TTL insurance applications. It is not intended as a public submission until further development stages are cleared.
Intended Use Cases
This model is specifically tailored for:
- Specialized Insurance Applications: Its development is focused on private TTL (Time-To-Live) insurance use cases, suggesting optimization for industry-specific data and tasks.
- Internal Development: As a private checkpoint, it is primarily for internal testing and refinement within its specific domain.