Shisa V2 Llama3.1 405B by shisa-ai

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  Arxiv:2501.18511   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:shisa-ai/deepseekv3-ul... Dataset:shisa-ai/shisa-v2-shar...   En   Endpoints compatible   Instruct   Ja   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh

Shisa V2 Llama3.1 405B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shisa V2 Llama3.1 405B (shisa-ai/shisa-v2-llama3.1-405b)
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Shisa V2 Llama3.1 405B Parameters and Internals

LLM NameShisa V2 Llama3.1 405B
Repository ๐Ÿค—https://huggingface.co/shisa-ai/shisa-v2-llama3.1-405b 
Model Nameshisa-v2-llama3.1-405b
Base Model(s)  meta-llama/Llama-3.1-405B-Instruct   meta-llama/Llama-3.1-405B-Instruct
Model Size405b
Required VRAM191.2 GB
Updated2025-06-14
Maintainershisa-ai
Model Typellama
Instruction-BasedYes
Model Files  4.8 GB: 1-of-191   4.0 GB: 2-of-191   4.6 GB: 3-of-191   4.6 GB: 4-of-191   3.5 GB: 5-of-191   4.6 GB: 6-of-191   4.6 GB: 7-of-191   3.5 GB: 8-of-191   4.6 GB: 9-of-191   4.6 GB: 10-of-191   3.5 GB: 11-of-191   4.6 GB: 12-of-191   4.6 GB: 13-of-191   3.5 GB: 14-of-191   4.6 GB: 15-of-191   4.6 GB: 16-of-191   3.5 GB: 17-of-191   4.6 GB: 18-of-191   4.6 GB: 19-of-191   3.5 GB: 20-of-191   4.6 GB: 21-of-191   4.6 GB: 22-of-191   3.5 GB: 23-of-191   4.6 GB: 24-of-191   4.6 GB: 25-of-191   3.5 GB: 26-of-191   4.6 GB: 27-of-191   4.6 GB: 28-of-191   3.5 GB: 29-of-191   4.6 GB: 30-of-191   4.6 GB: 31-of-191   3.5 GB: 32-of-191   4.6 GB: 33-of-191   4.6 GB: 34-of-191   3.5 GB: 35-of-191   4.6 GB: 36-of-191   4.6 GB: 37-of-191   3.5 GB: 38-of-191   4.6 GB: 39-of-191   4.6 GB: 40-of-191   3.5 GB: 41-of-191   4.6 GB: 42-of-191   4.6 GB: 43-of-191   3.5 GB: 44-of-191   4.6 GB: 45-of-191
Supported Languagesja en ko zh
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.50.0
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than shisa-ai/shisa-v2-llama3.1-405b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124