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T3QM7XP by nlpguy

 »  All LLMs  »  nlpguy  »  T3QM7XP   URL Share it on

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  Autotrain compatible Base model:matthieuj/jason1903... Base model:merge:matthieuj/jas...   Base model:merge:nlpguy/t3qm7   Base model:nlpguy/t3qm7   Endpoints compatible   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nlpguy/T3QM7XP 

T3QM7XP Benchmarks

ARC: 73.04 vs 96.7 (so35)-24.5%
HellaSwag: 89.12 vs 95.3 (gpt4)-6.5%
MMLU: 64.45 vs 88.3 (so35)-27%
TruthfulQA: 78.06 vs 59 (gpt4)32.3%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 70.58 vs 96.4 (so35)-26.8%
LLME Score: 0.17769
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
T3QM7XP (nlpguy/T3QM7XP)

T3QM7XP Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models created using mergekit. It utilizes the SLERP merge method.
LLM NameT3QM7XP
Repository 🤗https://huggingface.co/nlpguy/T3QM7XP 
Base Model(s)  Jason1903 SLERP   T3QM7   MatthieuJ/Jason1903_SLERP   nlpguy/T3QM7
Model Size7.2b
Required VRAM14.5 GB
Updated2025-02-22
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/T3QM7XP.

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Release v20241227
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