Llama 3.3 70B Instruct EXL2 4.5bpw by Dracones

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Llama 3.3 70B Instruct EXL2 4.5bpw is an open-source language model by Dracones. Features: 70b LLM, VRAM: 41.4GB, Context: 128K, License: llama3.3, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational   De   En   Endpoints compatible   Es   Exl2   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Pt   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Th

Llama 3.3 70B Instruct EXL2 4.5bpw Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.3 70B Instruct EXL2 4.5bpw (Dracones/Llama-3.3-70B-Instruct_exl2_4.5bpw)
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Llama 3.3 70B Instruct EXL2 4.5bpw Parameters and Internals

LLM NameLlama 3.3 70B Instruct EXL2 4.5bpw
Repository ๐Ÿค—https://huggingface.co/Dracones/Llama-3.3-70B-Instruct_exl2_4.5bpw 
Base Model(s)  meta-llama/Llama-3.3-70B-Instruct   meta-llama/Llama-3.3-70B-Instruct
Model Size70b
Required VRAM41.4 GB
Updated2026-04-11
MaintainerDracones
Model Typellama
Instruction-BasedYes
Model Files  8.5 GB: 1-of-5   8.6 GB: 2-of-5   8.5 GB: 3-of-5   8.6 GB: 4-of-5   7.2 GB: 5-of-5
Supported Languagesen fr it pt hi es th de
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3.3
Context Length131072
Model Max Length131072
Transformers Version4.47.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20260328a