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Llama3 70B Instruct AWQ Glc by ellamind

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:eu   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ellamind/llama3-70b-instruct-awq-glc 

Llama3 70B Instruct AWQ Glc Benchmarks

LLME Score: 0.18562
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 70B Instruct AWQ Glc (ellamind/llama3-70b-instruct-awq-glc)

Llama3 70B Instruct AWQ Glc Parameters and Internals

LLM NameLlama3 70B Instruct AWQ Glc
Repository 🤗https://huggingface.co/ellamind/llama3-70b-instruct-awq-glc 
Model Size70b
Required VRAM39.9 GB
Updated2025-02-22
Maintainerellamind
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
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
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 ellamind/llama3-70b-instruct-awq-glc.

Rank the Llama3 70B Instruct AWQ Glc Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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