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Infinitely Laydiculous 7B by Nitral-AI

 »  All LLMs  »  Nitral-AI  »  Infinitely Laydiculous 7B   URL Share it on

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  Merged Model   Autotrain compatible Base model:endevor/infinityrp-... Base model:l3utterfly/mistral-...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nitral-AI/Infinitely-Laydiculous-7B 

Infinitely Laydiculous 7B Benchmarks

LLME Score: 0.172
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Infinitely Laydiculous 7B (Nitral-AI/Infinitely-Laydiculous-7B)

Infinitely Laydiculous 7B Parameters and Internals

Training Details 
Methodology:
SLERP merge method
LLM NameInfinitely Laydiculous 7B
Repository 🤗https://huggingface.co/Nitral-AI/Infinitely-Laydiculous-7B 
Base Model(s)  InfinityRP V1 7B   l3utterfly/mistral-7b-v0.1-layla-v4   Endevor/InfinityRP-v1-7B   l3utterfly/mistral-7b-v0.1-layla-v4
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-03
MaintainerNitral-AI
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 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
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Astral 256K 7B V2250K / 14.4 GB70
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than Nitral-AI/Infinitely-Laydiculous-7B.

Rank the Infinitely Laydiculous 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v20241227
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