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L3.1 Mochav2 10B by kromcomp

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L3.1 Mochav2 10B is an open-source language model by kromcomp. Features: 10b LLM, VRAM: 42.8GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kromcomp/L3.1-Mochav2-10B 

L3.1 Mochav2 10B Benchmarks

LLME Score: 0.17143
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3.1 Mochav2 10B (kromcomp/L3.1-Mochav2-10B)
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L3.1 Mochav2 10B Parameters and Internals

LLM NameL3.1 Mochav2 10B
Repository 🤗https://huggingface.co/kromcomp/L3.1-Mochav2-10B 
Merged ModelYes
Model Size10b
Required VRAM42.8 GB
Updated2025-01-28
Maintainerkromcomp
Model Typellama
Model Files  2.1 GB: 1-of-16   3.0 GB: 2-of-16   2.9 GB: 3-of-16   2.9 GB: 4-of-16   2.9 GB: 5-of-16   2.8 GB: 6-of-16   2.9 GB: 7-of-16   2.8 GB: 8-of-16   2.9 GB: 9-of-16   2.8 GB: 10-of-16   2.9 GB: 11-of-16   2.8 GB: 12-of-16   2.9 GB: 13-of-16   2.9 GB: 14-of-16   3.0 GB: 15-of-16   0.3 GB: 16-of-16
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than kromcomp/L3.1-Mochav2-10B.

Rank the L3.1 Mochav2 10B 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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