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LFM2-1.2b-lmsguide-GGUF

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LMS Guide 1.2b

🧠 Overview

The LMS Guide 1.2b is part of the MadlabOSS LM Studio Guide family — a lineup of small, efficient, and highly aligned assistant models trained specifically to provide deterministic, hallucination‑resistant guidance for LM Studio users.

This model is trained on a curated dataset of LM Studio–specific instructions, workflows, troubleshooting steps, and conceptual explanations.

🚀 Intended Use

This model is optimized for:

  • LM Studio onboarding
  • workflow explanations
  • feature descriptions
  • troubleshooting guidance
  • plugin/server integration help
  • safe, deterministic assistant behavior

It is not intended as a general‑purpose chatbot.

🧩 Model Details

Base Model: LFM2‑1.2B

Parameter Count: 1.2 Billion

Training Type: Supervised fine‑tuning

Sequence Length: 1024

Precision: FP16

Framework: PyTorch / Transformers

📦 Training Data

The model was trained on:

  • 6,000+ LM Studio–specific instruction/response pairs
  • Clean, domain‑specific, ontology‑consistent data
  • Minor general‑purpose conversational data
  • No web‑scraped content
  • Full LM Studio Documentation

A 36k+ expanded dataset is planned for v2.0.

🏋️ Training Procedure

Hyperparameters

  • Epochs: 6
  • Batch size: 16
  • Learning rate: cosine schedule, peak ~4e‑5
  • Optimizer: AdamW
  • Gradient clipping: 1.0
  • Gradient accumulation: 1

Hardware

Training was performed on:

  • RTX 6000 Ada (96GB) (1.2b + 2.6b)
  • Dual RTX 3090 (Magic Judge)
  • RTX 3070 (for 0.35B + 0.7b)

📊 Evaluation

Judge Score

Semantic correctness, ontology adherence, and hallucination resistance.

Qualitative Behavior

  • Strong adherence to LM Studio terminology
  • Low hallucination rate
  • Deterministic, predictable responses
  • Not optimized for open‑domain reasoning

🔒 Safety

This model is trained exclusively on LM Studio–specific content.
It avoids hallucinating non‑existent LM Studio features and adheres to a strict ontology.

It is not designed for:

  • political content
  • medical advice
  • legal advice
  • general‑purpose conversation

⚠️ Limitations

  • Not a general assistant
  • Not trained for coding, math, or open‑domain reasoning
  • May refuse tasks outside LM Studio scope
  • Static accuracy metrics underestimate real performance
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