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Llama 3 SauerkrautLM 70B Instruct AWQ by tresiwalde

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 SauerkrautLM 70B Instruct AWQ Benchmarks

LLME Score: 0.21246
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 SauerkrautLM 70B Instruct AWQ Parameters and Internals

LLM NameLlama 3 SauerkrautLM 70B Instruct AWQ
Repository 🤗https://huggingface.co/tresiwalde/Llama-3-SauerkrautLM-70b-Instruct-AWQ 
Base Model(s)  ...ma 3 SauerkrautLM 70B Instruct   VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct
Model Size70b
Required VRAM39.9 GB
Updated2024-09-16
Maintainertresiwalde
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
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16
Llama 3 SauerkrautLM 70B Instruct AWQ (tresiwalde/Llama-3-SauerkrautLM-70b-Instruct-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than tresiwalde/Llama-3-SauerkrautLM-70b-Instruct-AWQ.

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Release v2024072803
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