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T3QM7 by nlpguy

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T3QM7 is an open-source language model by nlpguy. Features: 7.2b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, HF Score: 76.8, LLM Explorer Score: 0.13, Arc: 73.1, HellaSwag: 89.1, MMLU: 64.5, TruthfulQA: 78, WinoGrande: 85.1, GSM8K: 70.7.

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 🤗: https://huggingface.co/nlpguy/T3QM7 

T3QM7 Benchmarks

ARC: 73.12 vs 96.7 (so35)-24.4%
HellaSwag: 89.14 vs 95.3 (gpt4)-6.5%
MMLU: 64.48 vs 88.3 (so35)-27%
TruthfulQA: 77.96 vs 59 (gpt4)32.1%
WinoGrande: 85.08 vs 87.5 (gpt4)-2.8%
GSM8K: 70.74 vs 96.4 (so35)-26.6%
LLME Score: 0.13107
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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 🤗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
Updated2026-03-17
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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