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Llama2 70B 8bit by caisarl76

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  8-bit   8bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/caisarl76/llama2-70B-8bit 

Llama2 70B 8bit Benchmarks

LLME Score: 0.10086
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 70B 8bit (caisarl76/llama2-70B-8bit)
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Llama2 70B 8bit Parameters and Internals

LLM NameLlama2 70B 8bit
Repository 🤗https://huggingface.co/caisarl76/llama2-70B-8bit 
Model Size70b
Required VRAM69.5 GB
Updated2025-09-24
Maintainercaisarl76
Model Typellama
Model Files  9.9 GB: 1-of-8   9.8 GB: 2-of-8   10.0 GB: 3-of-8   9.9 GB: 4-of-8   9.8 GB: 5-of-8   9.9 GB: 6-of-8   9.7 GB: 7-of-8   0.5 GB: 8-of-8
Quantization Type8bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than caisarl76/llama2-70B-8bit.

Rank the Llama2 70B 8bit Capabilities

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Release v20241124
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