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InfinityNexus 9B by ChaoticNeutrals

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  Merged Model   Autotrain compatible Base model:endevor/infinityrp-... Base model:jeiku/narrativenexu...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

InfinityNexus 9B Benchmarks

ARC: 68.69 vs 96.7 (so35)-29%
HellaSwag: 86.28 vs 95.3 (gpt4)-9.5%
MMLU: 64.49 vs 88.3 (so35)-27%
TruthfulQA: 65.14 vs 59 (gpt4)10.4%
WinoGrande: 80.82 vs 87.5 (gpt4)-7.6%
GSM8K: 55.95 vs 96.4 (so35)-42%
LLME Score: 0.20425
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

InfinityNexus 9B Parameters and Internals

LLM NameInfinityNexus 9B
Repository 🤗https://huggingface.co/ChaoticNeutrals/InfinityNexus_9B 
Base Model(s)  InfinityRP V1 7B   NarrativeNexus 7B   Endevor/InfinityRP-v1-7B   jeiku/NarrativeNexus_7B
Merged ModelYes
Model Size7b
Required VRAM18 GB
Updated2024-11-09
MaintainerChaoticNeutrals
Model Typemistral
Model Files  10.0 GB: 1-of-2   8.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
InfinityNexus 9B (ChaoticNeutrals/InfinityNexus_9B)

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Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/InfinityNexus_9B.

Rank the InfinityNexus 9B Capabilities

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