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StrangeMerges 42 7B Dare Ties by Gille

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  Merged Model   Autotrain compatible Base model:kukedlc/neural4gsm8...   Endpoints compatible   Kukedlc/neural4gsm8k   Mistral   Region:us Rwitz/experiment26-truthy-iter...   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Gille/StrangeMerges_42-7B-dare_ties 

StrangeMerges 42 7B Dare Ties Benchmarks

ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 88.96 vs 95.3 (gpt4)-6.7%
MMLU: 64.62 vs 88.3 (so35)-26.8%
TruthfulQA: 75.44 vs 59 (gpt4)27.9%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 70.05 vs 96.4 (so35)-27.3%
LLME Score: 0.16445
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
StrangeMerges 42 7B Dare Ties (Gille/StrangeMerges_42-7B-dare_ties)

StrangeMerges 42 7B Dare Ties Parameters and Internals

Additional Notes 
This model is a merge of three models using LazyMergekit: rwitz/experiment26-truthy-iter-0, Kukedlc/Neural4gsm8k, Gille/StrangeMerges_30-7B-slerp.
LLM NameStrangeMerges 42 7B Dare Ties
Repository 🤗https://huggingface.co/Gille/StrangeMerges_42-7B-dare_ties 
Base Model(s)  Experiment26 Truthy Iter 0   Neural4gsm8k   StrangeMerges 30 7B Slerp   rwitz/experiment26-truthy-iter-0   Kukedlc/Neural4gsm8k   Gille/StrangeMerges_30-7B-slerp
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-05-16
MaintainerGille
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
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_42-7B-dare_ties.

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Release v20241227
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