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Meta Llama 3 70B Instruct GPTQ by cortecs

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  4-bit   4bit   Autotrain compatible   Conversational   Dataset:wikitext   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us

Meta Llama 3 70B Instruct GPTQ Benchmarks

LLME Score: 0.20656
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Meta Llama 3 70B Instruct GPTQ Parameters and Internals

LLM NameMeta Llama 3 70B Instruct GPTQ
Repository 🤗https://huggingface.co/cortecs/Meta-Llama-3-70B-Instruct-GPTQ 
Base Model(s)  Meta Llama 3 120B Instruct   mlabonne/Meta-Llama-3-120B-Instruct
Model Size70b
Required VRAM39.8 GB
Updated2024-10-18
Maintainercortecs
Model Typellama
Instruction-BasedYes
Model Files  39.8 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Meta Llama 3 70B Instruct GPTQ (cortecs/Meta-Llama-3-70B-Instruct-GPTQ)

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...erkrautLM 70B Instruct GPTQ 8B8K / 74.4 GB361
...SauerkrautLM 70B Instruct GPTQ8K / 39.8 GB1213
...a Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB260
...g Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB31
...g Llama 3 70B Instruct GPTQ 4B8K / 39.8 GB70
Note: green Score (e.g. "73.2") means that the model is better than cortecs/Meta-Llama-3-70B-Instruct-GPTQ.

Rank the Meta Llama 3 70B Instruct GPTQ Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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