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Llama 3 8B Instruct 262K by gradientai

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Llama 3 8B Instruct 262K Benchmarks

ARC: 53.16 vs 96.7 (so35)-45%
HellaSwag: 75.53 vs 95.3 (gpt4)-20.7%
MMLU: 64.27 vs 88.3 (so35)-27.2%
TruthfulQA: 48.37 vs 59 (gpt4)-18%
WinoGrande: 73.01 vs 87.5 (gpt4)-16.6%
GSM8K: 47.23 vs 96.4 (so35)-51%
LLME Score: 0.32372
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 8B Instruct 262K Parameters and Internals

LLM NameLlama 3 8B Instruct 262K
Repository 🤗https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k 
Model Size8b
Required VRAM16.1 GB
Updated2024-10-17
Maintainergradientai
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length262144
Model Max Length262144
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 8B Instruct 262K (gradientai/Llama-3-8B-Instruct-262k)

Quantized Models of the Llama 3 8B Instruct 262K

Model
Likes
Downloads
VRAM
Llama 3 8B Instruct 262K GGUF24833 GB
...Instruct 262K HQQ 2bit Smashed2244 GB

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...struct Gradient 1048K MAC Lora1024K / 5.9 GB42
... Instruct Gradient 1048K Agent1024K / 16.1 GB1241
Note: green Score (e.g. "73.2") means that the model is better than gradientai/Llama-3-8B-Instruct-262k.

Rank the Llama 3 8B Instruct 262K Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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