Llama 3.1 SauerkrautLM 70B Instruct AWQ by WisPerMed

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  4-bit   Awq Base model:quantized:vagosolut... Base model:vagosolutions/llama...   Conversational   De   En   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3.1 SauerkrautLM 70B Instruct AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 SauerkrautLM 70B Instruct AWQ (WisPerMed/Llama-3.1-SauerkrautLM-70b-Instruct-AWQ)

Llama 3.1 SauerkrautLM 70B Instruct AWQ Parameters and Internals

LLM NameLlama 3.1 SauerkrautLM 70B Instruct AWQ
Repository ๐Ÿค—https://huggingface.co/WisPerMed/Llama-3.1-SauerkrautLM-70b-Instruct-AWQ 
Base Model(s)  VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct   VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct
Model Size70b
Required VRAM39.9 GB
Updated2024-12-22
MaintainerWisPerMed
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   3.4 GB: 8-of-9   2.1 GB: 9-of-9
Supported Languagesde en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than WisPerMed/Llama-3.1-SauerkrautLM-70b-Instruct-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217