Llama3 8B 1.58bit Pretrained by limin-arc

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Llama3 8B 1.58bit Pretrained Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B 1.58bit Pretrained (limin-arc/llama3-8b-1.58bit-pretrained)

Llama3 8B 1.58bit Pretrained Parameters and Internals

Model Type 
full, bitnet
Additional Notes 
Needs work. It appears that the 1bit models are far less efficient when scarce in terms of memory usage.
Supported Languages 
en (High)
LLM NameLlama3 8B 1.58bit Pretrained
Repository ๐Ÿค—https://huggingface.co/limin-arc/llama3-8b-1.58bit-pretrained 
Model Size8b
Required VRAM35.5 GB
Updated2025-02-22
Maintainerlimin-arc
Model Typellama
Model Files  4.8 GB: 1-of-8   4.9 GB: 2-of-8   4.9 GB: 3-of-8   4.9 GB: 4-of-8   4.9 GB: 5-of-8   4.9 GB: 6-of-8   4.1 GB: 7-of-8   2.1 GB: 8-of-8   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than limin-arc/llama3-8b-1.58bit-pretrained.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227