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Llama 3 70B Instruct AWQ by cdawg

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  4-bit   4-bit precision - safetensors   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Llama   Llama3   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cdawg/llama-3-70b-instruct-awq 

Llama 3 70B Instruct AWQ Benchmarks

LLME Score: 0.19123
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Instruct AWQ (cdawg/llama-3-70b-instruct-awq)

Llama 3 70B Instruct AWQ Parameters and Internals

Model Type 
text generation, dialogue optimization
LLM NameLlama 3 70B Instruct AWQ
Repository 🤗https://huggingface.co/cdawg/llama-3-70b-instruct-awq 
Base Model(s)  Llama 3 70B Instruct 32K   maywell/Llama-3-70B-Instruct-32k
Model Size70b
Required VRAM39.9 GB
Updated2024-12-22
Maintainercdawg
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 Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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...0B Instruct Gradient 1048K AWQ1024K / 39.9 GB121
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Llama 3 70B Instruct AWQ8K / 39.9 GB161
...Typhoon V1.5x 70B Instruct AWQ8K / 39.9 GB332
... Llama 3 70B Instruct AWQ GEMM8K / 39.9 GB170
Note: green Score (e.g. "73.2") means that the model is better than cdawg/llama-3-70b-instruct-awq.

Rank the Llama 3 70B Instruct AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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