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---
license: other
license_name: lfm1.0
license_link: https://huggingface.co/LiquidAI/LFM2-2.6B/blob/main/LICENSE
metrics:
- magic judge
base_model:
- LiquidAI/LFM2-2.6B
tags:
- lmstudio
- madlabOSS
- magic judge
---
# LMS Guide 2.6b
## 🧠 Overview
The **LMS Guide 2.6b** 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:** LFM2‑2.6B
**Parameter Count:** 2.6 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
--- |