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Meta Llama 3.1 405B AWQ by RiversHaveWings

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Meta Llama 3.1 405B AWQ is an open-source language model by RiversHaveWings. Features: 405b LLM, VRAM: 209.8GB, Context: 128K, License: meta, Quantized, LLM Explorer Score: 0.14.

  Arxiv:2204.05149   4-bit   Awq   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   It   Llama   Llama-3   Meta   Pt   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/RiversHaveWings/Meta-Llama-3.1-405B-AWQ 

Meta Llama 3.1 405B AWQ Benchmarks

LLME Score: 0.1425
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3.1 405B AWQ (RiversHaveWings/Meta-Llama-3.1-405B-AWQ)
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Meta Llama 3.1 405B AWQ Parameters and Internals

LLM NameMeta Llama 3.1 405B AWQ
Repository 🤗https://huggingface.co/RiversHaveWings/Meta-Llama-3.1-405B-AWQ 
Model Size405b
Required VRAM209.8 GB
Updated2026-04-24
MaintainerRiversHaveWings
Model Typellama
Model Files  5.0 GB: 1-of-47   4.6 GB: 2-of-47   4.9 GB: 3-of-47   5.0 GB: 4-of-47   4.9 GB: 5-of-47   4.6 GB: 6-of-47   4.6 GB: 7-of-47   4.6 GB: 8-of-47   4.9 GB: 9-of-47   5.0 GB: 10-of-47   4.9 GB: 11-of-47   4.6 GB: 12-of-47   4.6 GB: 13-of-47   4.6 GB: 14-of-47   4.9 GB: 15-of-47   5.0 GB: 16-of-47   4.9 GB: 17-of-47   4.6 GB: 18-of-47   4.6 GB: 19-of-47   4.6 GB: 20-of-47   4.9 GB: 21-of-47   5.0 GB: 22-of-47   4.9 GB: 23-of-47   4.6 GB: 24-of-47   4.6 GB: 25-of-47   4.6 GB: 26-of-47   4.9 GB: 27-of-47   5.0 GB: 28-of-47   4.9 GB: 29-of-47   4.6 GB: 30-of-47   4.6 GB: 31-of-47   4.6 GB: 32-of-47   4.9 GB: 33-of-47   5.0 GB: 34-of-47   4.9 GB: 35-of-47   4.6 GB: 36-of-47   4.6 GB: 37-of-47   4.6 GB: 38-of-47   4.9 GB: 39-of-47   5.0 GB: 40-of-47   4.9 GB: 41-of-47   4.6 GB: 42-of-47   4.6 GB: 43-of-47   4.6 GB: 44-of-47
Supported Languagesen de fr it pt hi es th
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Meta Llama 3.1 405B 2bit128K / 128 GB9102
...ama 3.1 405B Instruct Bnb 4bit128K / 214.3 GB2238
Meta Llama 3.1 405B 4bit128K / 231.9 GB2115
Meta Llama 3.1 405B Bnb 4bit128K / 214.3 GB9816
Llama 3.1 405B Instruct FP8128K / 209.2 GB1350216
Meta Llama 3.1 405B128K / 186 GB521433808
Llama 3.1 405B128K / 183.1 GB134714974
Llama 3.1 405B Instruct128K / 183.1 GB228202594
Meta Llama 3.1 405B Instruct128K / 186 GB55654473
Hermes 4 405B128K / 191.2 GB52289
Note: green Score (e.g. "73.2") means that the model is better than RiversHaveWings/Meta-Llama-3.1-405B-AWQ.

Rank the Meta Llama 3.1 405B AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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