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d4rkninja/tanpo-deals-GGUF

sourceHugging Faceotherupdated 9d agoView on Hugging Face
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Model Card

Tanpo Deals (GGUF)

GGUF quantizations of [d4rkninja/tanpo-deals](https://huggingface.co/d4rkninja/tanpo-deals) for local runtimes (llama.cpp, LM Studio, and other GGUF-compatible tools).

Creator: d4rkninja Collection: Tanpo — Domain Specialists

Tanpo is a family of compact domain-specialized business models for local / edge / inexpensive deployment. Different specialists cover different workflows.

Original upstream: LiquidAI/LFM2.5-1.2B-Instruct (~1.17B parameters, 32,768-token context, designed for edge/on-device deployment).

Fine-tuning: Unsloth-compatible loading of that checkpoint via hub id `unsloth/LFM2.5-1.2B-Instruct` (LoRA / PEFT).

A compact B2B deal-closing and channel/distributor specialist (~1.2B) for qualification, objections, proposals, and partner motions — built for local and inexpensive deployment.

Available quantizations

On-disk sizes from the live Hugging Face file listing (MB, rounded from bytes). Disk size ≠ peak RAM/VRAM at runtime.

FileSize
tanpo-deals.Q3_K_M.gguf600 MB
tanpo-deals.Q4_K_S.gguf700 MB
tanpo-deals.Q4_K_M.gguf731 MB — suggested everyday
tanpo-deals.Q5_K_S.gguf825 MB
tanpo-deals.Q5_K_M.gguf843 MB
tanpo-deals.Q8_0.gguf1246 MB

Suggested everyday file: tanpo-deals.Q4_K_M.gguf

Evaluation (summary)

ModelRubric overall
Base87.9%
Fine-tune95.2%
Delta+7.3 percentage points

Full methodology on the merged model card. Artifacts: `evaluation/`. Quantization can change behavior slightly vs BF16 merged weights.

Running locally

  1. 1.Download tanpo-deals.Q4_K_M.gguf (or another quant above).
  2. 2.Open it in LM Studio or run with llama.cpp (use a build that supports LFM2 / the model architecture).
  3. 3.Keep prompts in the deals domain; review consequential outputs with a human.

No separate LoRA step is required — these are standalone GGUF files of the merged specialist.

Related

Responsible Use

Not legal, tax, or financial advice. Humans must review contracts, pricing commitments, and partner terms. Do not use for fraud, deception, or unauthorized access.

License

license: other / license_name: lfm-1.0

Tanpo merged and GGUF weights are derivatives of LiquidAI/LFM2.5-1.2B-Instruct under the LFM Open License v1.0 (including the commercial Threshold of approximately $10M annual revenue). See the base model card and its LICENSE file. Credit: LiquidAI. Do not treat this stack as Apache-2.0.

Tanpo Family

Tanpo is a family of compact domain-specialized models for focused business workflows.

This specialist is available as:

Browse all Tanpo specialists: Tanpo — Domain Specialists