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Gradientai Llama 3 8B Instruct 262K AWQ 4bit Smashed by PrunaAI

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Gradientai Llama 3 8B Instruct 262K AWQ 4bit Smashed Benchmarks

LLME Score: 0.21329
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gradientai Llama 3 8B Instruct 262K AWQ 4bit Smashed Parameters and Internals

LLM NameGradientai Llama 3 8B Instruct 262K AWQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/gradientai-Llama-3-8B-Instruct-262k-AWQ-4bit-smashed 
Base Model(s)  ...Instruct 262K AWQ 4bit Smashed   PrunaAI/gradientai-Llama-3-8B-Instruct-262k-AWQ-4bit-smashed
Model Size8b
Required VRAM5.8 GB
Updated2024-09-16
MaintainerPrunaAI
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureLlamaForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Gradientai Llama 3 8B Instruct 262K AWQ 4bit Smashed (PrunaAI/gradientai-Llama-3-8B-Instruct-262k-AWQ-4bit-smashed)

Quantized Models of the Gradientai Llama 3 8B Instruct 262K AWQ 4bit Smashed

Model
Likes
Downloads
VRAM
...Instruct 262K AWQ 4bit Smashed425 GB

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/gradientai-Llama-3-8B-Instruct-262k-AWQ-4bit-smashed.

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Release v2024072803
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