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d4rkninja/tanpo-marketing-LoRA

sourceHugging Faceotherupdated 9d agoView on Hugging Face

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Model Card

Tanpo Marketing (LoRA)

PEFT LoRA adapter that specializes LiquidAI/LFM2.5-1.2B-Instruct for marketing workflows (trained via Unsloth hub id unsloth/LFM2.5-1.2B-Instruct).

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).

Full eval, examples, and responsible-use notes: [d4rkninja/tanpo-marketing](https://huggingface.co/d4rkninja/tanpo-marketing).

Adapter settings (from `adapter_config.json`)

Field	Value
Base (adapter_config)	`unsloth/LFM2.5-1.2B-Instruct` (Unsloth-compatible of LiquidAI/LFM2.5-1.2B-Instruct)
PEFT type	LORA
Rank `r`	16
`lora_alpha`	16
`lora_dropout`	0
`bias`	none
Target modules	`q_proj`, `k_proj`, `v_proj`, `out_proj`, `in_proj`, `w1`, `w2`, `w3`

Evaluation (summary)

Model	Rubric overall
Base	93.7%
Fine-tune	97.6%
Delta	+3.9 percentage points

Internal DarkLab automated domain evaluation (directional). Held-out marketing tasks (~20 in the domain harness). Same prompts and generation config for base vs fine-tune. Not an industry benchmark. See the merged card `evaluation/` for artifacts and methodology.

Load with PEFT

python

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "unsloth/LFM2.5-1.2B-Instruct"  # Unsloth-compatible of LiquidAI/LFM2.5-1.2B-Instruct
tokenizer = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(
    base, torch_dtype="auto", device_map="auto"
)
model = PeftModel.from_pretrained(model, "d4rkninja/tanpo-marketing-LoRA")

—Merged: d4rkninja/tanpo-marketing
—GGUF: d4rkninja/tanpo-marketing-GGUF — prefer Q4_K_M
—Dataset: d4rkninja/tanpo-marketing-sft

License

license: other / license_name: lfm-1.0

This repository provides a LoRA adapter for use with LiquidAI/LFM2.5-1.2B-Instruct. The adapter does not waive the upstream 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.

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