Llama 7B 8bit by universonic

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  8-bit   8bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 7B 8bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 7B 8bit (universonic/llama-7b-8bit)
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Llama 7B 8bit Parameters and Internals

LLM NameLlama 7B 8bit
Repository ๐Ÿค—https://huggingface.co/universonic/llama-7b-8bit 
Base Model(s)  Todd Proxy LoRA 7b   autobots/Todd_Proxy_LoRA_7b
Model Size7b
Required VRAM7.1 GB
Updated2025-08-20
Maintaineruniversonic
Model Typellama
Model Files  1.0 GB: 1-of-8   1.0 GB: 2-of-8   1.0 GB: 3-of-8   1.0 GB: 4-of-8   1.0 GB: 5-of-8   1.0 GB: 6-of-8   0.8 GB: 7-of-8   0.3 GB: 8-of-8   1.0 GB: 1-of-8   1.0 GB: 2-of-8   1.0 GB: 3-of-8   1.0 GB: 4-of-8   1.0 GB: 5-of-8   1.0 GB: 6-of-8   0.8 GB: 7-of-8   0.3 GB: 8-of-8
Quantization Type8bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than universonic/llama-7b-8bit.

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