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L MChat Small by Artples

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L MChat Small is an open-source language model by Artples. Features: 2.8b LLM, VRAM: 5.6GB, Context: 2K, License: mit, Merged, HF Score: 63.1, LLM Explorer Score: 0.22, Arc: 61.6, HellaSwag: 75.9, MMLU: 57.4, TruthfulQA: 49.9, WinoGrande: 75, GSM8K: 59.

  Merged Model Base model:rhysjones/phi-2-ora... Base model:weyaxi/einstein-v4-...   Conversational   Endpoints compatible   Model-index   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Artples/L-MChat-Small 

L MChat Small Benchmarks

MMLU Pro: 16.27
GPQA: 2.35
MUSR: 9.27
BBH: 26.86
IFEval: 32.87 vs 88 (so35)-62.6%
ARC: 61.6 vs 96.7 (so35)-36.3%
HellaSwag: 75.9 vs 95.3 (gpt4)-20.4%
MMLU: 57.41 vs 88.3 (so35)-35%
TruthfulQA: 49.94 vs 59 (gpt4)-15.4%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 58.98 vs 96.4 (so35)-38.8%
MATH Lvl 5: 3.78
LLME Score: 0.22438
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L MChat Small (Artples/L-MChat-Small)
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L MChat Small Parameters and Internals

Model Type 
text-generation
Additional Notes 
This was a test to evaluate the performance of smaller merges, focusing on 2 billion parameter models compared to larger 7 billion parameter models and higher.
Training Details 
Methodology:
SLERP merge method
Input Output 
Input Format:
ChatML format
Accepted Modalities:
text
Output Format:
text
Release Notes 
Notes:
This model explores the performance of smaller (2 billion parameter) model merges in the L-MChat series using the SLERP merge method.
LLM NameL MChat Small
Repository 🤗https://huggingface.co/Artples/L-MChat-Small 
Base Model(s)  Phi 2 Orange V2   Einstein V4 Phi2   rhysjones/phi-2-orange-v2   Weyaxi/Einstein-v4-phi2
Merged ModelYes
Model Size2.8b
Required VRAM5.6 GB
Updated2026-04-09
MaintainerArtples
Model Typephi
Model Files  5.6 GB: 1-of-1
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.39.3
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Artples/L-MChat-Small.

Rank the L MChat Small Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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