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StrangeMerges 44 7B Dare Ties by Gille

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StrangeMerges 44 7B Dare Ties is an open-source language model by Gille. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, HF Score: 75.5, LLM Explorer Score: 0.13, Arc: 71.8, HellaSwag: 87.8, MMLU: 65.6, TruthfulQA: 71.9, WinoGrande: 83.7, GSM8K: 72.3.

  Merged Model   Aurelpx/percival 01-7b-slerp   Autotrain compatible Base model:aurelpx/percival 01... Base model:nexusflow/starling-...   Base model:nlpguy/t3qm7   Endpoints compatible   Mistral   Nexusflow/starling-lm-7b-beta   Nlpguy/t3qm7   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Gille/StrangeMerges_44-7B-dare_ties 

StrangeMerges 44 7B Dare Ties Benchmarks

ARC: 71.76 vs 96.7 (so35)-25.8%
HellaSwag: 87.84 vs 95.3 (gpt4)-7.8%
MMLU: 65.61 vs 88.3 (so35)-25.7%
TruthfulQA: 71.85 vs 59 (gpt4)21.8%
WinoGrande: 83.74 vs 87.5 (gpt4)-4.3%
GSM8K: 72.25 vs 96.4 (so35)-25.1%
LLME Score: 0.13186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
StrangeMerges 44 7B Dare Ties (Gille/StrangeMerges_44-7B-dare_ties)
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StrangeMerges 44 7B Dare Ties Parameters and Internals

Model Type 
merge
Additional Notes 
StrangeMerges_44-7B-dare_ties is a merge of Nexusflow/Starling-LM-7B-beta, nlpguy/T3QM7, and AurelPx/Percival_01-7b-slerp using LazyMergekit. The configuration includes weights and density for each model.
LLM NameStrangeMerges 44 7B Dare Ties
Repository 🤗https://huggingface.co/Gille/StrangeMerges_44-7B-dare_ties 
Base Model(s)  Starling LM 7B Beta   T3QM7   Percival 01 7B Slerp   Nexusflow/Starling-LM-7B-beta   nlpguy/T3QM7   AurelPx/Percival_01-7b-slerp
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-09-23
MaintainerGille
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 Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_44-7B-dare_ties.

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