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tanpo-marketing-LoRA
d4rkninja/tanpo-marketing-LoRA
tanpo-marketing-LoRA is a text generation model from d4rkninja. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as other.
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).
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- other
- Access
- Public
- Created
- Sep 16, 2026
- Updated
- Sep 18, 2026
- SHA
- 529092bb
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Base models
Datasets
Model card
From the Hugging Face model README
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.
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
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")
Related
- 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:
- Merged:
d4rkninja/tanpo-marketing - LoRA:
d4rkninja/tanpo-marketing-LoRA - GGUF:
d4rkninja/tanpo-marketing-GGUF
Browse all Tanpo specialists: Tanpo — Domain Specialists
- Task
- Text Generation
- Library
- peft
- License
- other
- Languages
- en
- Created
- Sep 16, 2026
- Updated
- Sep 18, 2026