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V1olet Marcoroni Go Bruins Merge 7B by v1olet

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  Merged Model   Autotrain compatible   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded

V1olet Marcoroni Go Bruins Merge 7B Benchmarks

ARC: 70.05 vs 96.7 (so35)-27.6%
HellaSwag: 87.17 vs 95.3 (gpt4)-8.5%
MMLU: 65.17 vs 88.3 (so35)-26.2%
TruthfulQA: 61.42 vs 59 (gpt4)4.1%
WinoGrande: 81.45 vs 87.5 (gpt4)-6.9%
GSM8K: 71.57 vs 96.4 (so35)-25.8%
LLME Score: 0.20862
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

V1olet Marcoroni Go Bruins Merge 7B Parameters and Internals

LLM NameV1olet Marcoroni Go Bruins Merge 7B
Repository 🤗https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B 
Merged ModelYes
Model Size7b
Required VRAM29 GB
Updated2024-09-07
Maintainerv1olet
Model Typemistral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   9.1 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32
V1olet Marcoroni Go Bruins Merge 7B (v1olet/v1olet_marcoroni-go-bruins-merge-7B)

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Note: green Score (e.g. "73.2") means that the model is better than v1olet/v1olet_marcoroni-go-bruins-merge-7B.

Rank the V1olet Marcoroni Go Bruins Merge 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v2024072803
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