---

base_model: LiquidAI/LFM2.5-1.2B-Instruct

language:

- en

license: other

license_name: lfm-1.0

pipeline_tag: text-generation

tags:

- gguf

- llama.cpp

- hiring

- tanpo

- text-generation

---

Tanpo Hiring (GGUF)

GGUF quantizations of d4rkninja/tanpo-hiring 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 hiring / talent specialist (~1.2B) for JDs, scorecards, screens, interview loops, and offer framing — 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.

| File | Size |

|---|---:|

| tanpo-hiring.Q3_K_M.gguf | 600 MB |

| tanpo-hiring.Q4_K_S.gguf | 700 MB |

| tanpo-hiring.Q4_K_M.gguf | 731 MB — suggested everyday |

| tanpo-hiring.Q5_K_S.gguf | 825 MB |

| tanpo-hiring.Q5_K_M.gguf | 843 MB |

| tanpo-hiring.Q8_0.gguf | 1246 MB |

Suggested everyday file: tanpo-hiring.Q4_K_M.gguf

Evaluation (summary)

| Model | Rubric overall |

|---|---:|

| Base | 83.8% |

| Fine-tune | 92.9% |

| Delta | +9.2 percentage points |

Delta is calculated from unrounded scores; displayed scores are rounded to one decimal place.

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

Running locally

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

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

Related

• Merged Transformers: d4rkninja/tanpo-hiring
• LoRA: d4rkninja/tanpo-hiring-LoRA

Responsible Use

Always keep humans in the loop for screening, debriefs, and offers. Avoid biased criteria; comply with applicable employment law. Do not use for unauthorized access to candidate data or systems.

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:

• Merged: d4rkninja/tanpo-hiring
• LoRA: d4rkninja/tanpo-hiring-LoRA
• GGUF: d4rkninja/tanpo-hiring-GGUF

Browse all Tanpo specialists: Tanpo — Domain Specialists