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L MChat 7B by Artples

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L MChat 7B is an open-source language model by Artples. Features: 7b LLM, VRAM: 14.4GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.23, Arc: 65.6, HellaSwag: 84.6, MMLU: 65.4, GSM8K: 69.5.

  Merged Model Base model:fuseai/fusechat-7b-... Base model:nexusflow/starling-...   Conversational   Deploy:azure   Endpoints compatible   Fuseai/fusechat-7b-varm   Mistral   Model-index   Nexusflow/starling-lm-7b-beta   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Artples/L-MChat-7b 

L MChat 7B Benchmarks

ARC: 65.61 vs 96.7 (so35)-32.2%
HellaSwag: 84.59 vs 95.3 (gpt4)-11.2%
MMLU: 65.44 vs 88.3 (so35)-25.9%
GSM8K: 69.45 vs 96.4 (so35)-28%
LLME Score: 0.22723
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L MChat 7B (Artples/L-MChat-7b)
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L MChat 7B Parameters and Internals

Model Type 
text-generation
LLM NameL MChat 7B
Repository 🤗https://huggingface.co/Artples/L-MChat-7b 
Base Model(s)  Starling LM 7B Beta   FuseChat 7B VaRM   Nexusflow/Starling-LM-7B-beta   FuseAI/FuseChat-7B-VaRM
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-05-17
MaintainerArtples
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Artples/L-MChat-7b.

Rank the L MChat 7B 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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