d4rkninja/tanpo-deals

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.2BQuant:BF16Context Size:32kPublished:Sep 18, 2026License:otherArchitecture:Transformer Featherless Exclusive Cold

d4rkninja/tanpo-deals is a 1.2 billion parameter, instruction-tuned language model developed by d4rkninja, based on LiquidAI/LFM2.5-1.2B-Instruct, with a 32,768-token context length. This compact, domain-specialized model is fine-tuned for B2B deal-closing and channel/distributor management tasks. It excels at qualification, objection handling, proposal generation, and partner motions, making it suitable for local and inexpensive deployment.

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Tanpo Deals: A Compact B2B Specialist

d4rkninja/tanpo-deals is a 1.2 billion parameter, instruction-tuned model derived from LiquidAI/LFM2.5-1.2B-Instruct, featuring a 32,768-token context length. It is part of the Tanpo family of compact, domain-specialized models designed for local and inexpensive deployment, focusing specifically on B2B deal-closing and channel management workflows.

Key Capabilities

  • Deal Qualification: Assists with discovery, go/no-go scorecards, and identifying red flags.
  • Objection Handling: Provides strategies for reframing objections and crafting conditional next steps.
  • Proposal Generation: Helps outline commercial proposals, ROI analyses, and mutual action plans.
  • Channel Enablement: Supports distributor recruiting, channel enablement, and wholesale pricing architecture drafts.

Performance & Training

The model was fine-tuned using LoRA (PEFT) via Unsloth on the d4rkninja/tanpo-deals-sft dataset, comprising approximately 10,000 chat SFT examples. Internal automated domain evaluation (DarkLab harness) showed a +7.3 percentage point improvement over the base model, achieving 95.2% on a specialized rubric for deals tasks. This evaluation is directional and not an industry benchmark.

Best For

  • Discovery and qualification gates
  • Objection handling and negotiation packages
  • Commercial proposal outlines and mutual action plans
  • Distributor recruiting and channel enablement

Limitations

As a specialized model, its quality may decrease outside the defined deals workflow. Its 1.2B parameter scale limits world knowledge and long-horizon reasoning compared to larger general-purpose models. Outputs are drafts and require human review, especially for legal or financial implications.

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3 models