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Llama 3 70B Instruct Gradient 524K by gradientai

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Llama 3 70B Instruct Gradient 524K Benchmarks

ARC: 66.81 vs 96.7 (so35)-30.9%
HellaSwag: 85.46 vs 95.3 (gpt4)-10.3%
MMLU: 76.37 vs 88.3 (so35)-13.5%
TruthfulQA: 53.73 vs 59 (gpt4)-8.9%
WinoGrande: 82.64 vs 87.5 (gpt4)-5.6%
GSM8K: 78.85 vs 96.4 (so35)-18.2%
LLME Score: 0.23928
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 Gradient 524K Parameters and Internals

LLM NameLlama 3 70B Instruct Gradient 524K
Repository 🤗https://huggingface.co/gradientai/Llama-3-70B-Instruct-Gradient-524k 
Model Size70b
Required VRAM141.9 GB
Updated2024-09-07
Maintainergradientai
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length524288
Model Max Length524288
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 70B Instruct Gradient 524K (gradientai/Llama-3-70B-Instruct-Gradient-524k)

Quantized Models of the Llama 3 70B Instruct Gradient 524K

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VRAM
...70B Instruct Gradient 262K AWQ0639 GB
...0B Instruct Gradient 262K 4bit3339 GB
...0B Instruct Gradient 262K 8bit2375 GB
...0B Instruct Gradient 262K 2bit1321 GB

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Note: green Score (e.g. "73.2") means that the model is better than gradientai/Llama-3-70B-Instruct-Gradient-524k.

Rank the Llama 3 70B Instruct Gradient 524K Capabilities

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Release v2024072803
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