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Jason1903 SLERP by LewisDeBenoisIV

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Jason1903 SLERP is an open-source language model by LewisDeBenoisIV. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.13.

  Merged Model Chihoonlee10/t3q-mistral-orca-...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Yam-peleg/experiment26-7b
Model Card on HF 🤗: https://huggingface.co/MatthieuJ/Jason1903_SLERP 

Jason1903 SLERP Benchmarks

LLME Score: 0.12572
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jason1903 SLERP (MatthieuJ/Jason1903_SLERP)
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Jason1903 SLERP Parameters and Internals

Model Type 
merge
LLM NameJason1903 SLERP
Repository 🤗https://huggingface.co/MatthieuJ/Jason1903_SLERP 
Merged ModelYes
Model Size7.2b
Required VRAM14.4 GB
Updated2026-04-01
MaintainerLewisDeBenoisIV
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MatthieuJ/Jason1903_SLERP.

Rank the Jason1903 SLERP 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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