T3QM7 by nlpguy

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  Autotrain compatible Base model:chihoonlee10/t3q-mi...   Base model:liminerity/m7-7b Base model:merge:chihoonlee10/... Base model:merge:liminerity/m7...   Endpoints compatible   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/nlpguy/T3QM7 

T3QM7 Benchmarks

T3QM7 (nlpguy/T3QM7)
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T3QM7 Parameters and Internals

Model Type 
text generation
Additional Notes 
This is a merge of pre-trained language models using the SLERP merge method with MergeKit.
LLM NameT3QM7
Repository ๐Ÿค—https://huggingface.co/nlpguy/T3QM7 
Base Model(s)  M7 7B   T3Q Mistral Orca Math DPO   liminerity/M7-7b   chihoonlee10/T3Q-Mistral-Orca-Math-DPO
Model Size7.2b
Required VRAM14.5 GB
Updated2025-08-18
Maintainernlpguy
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than nlpguy/T3QM7.

Rank the T3QM7 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124