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Dolphin 2.9.1 Llama 3 70B AWQ by julep-ai

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Dolphin 2.9.1 Llama 3 70B AWQ Benchmarks

LLME Score: 0.25026
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dolphin 2.9.1 Llama 3 70B AWQ Parameters and Internals

LLM NameDolphin 2.9.1 Llama 3 70B AWQ
Repository 🤗https://huggingface.co/julep-ai/dolphin-2.9.1-llama-3-70b-awq 
Base Model(s)  cognitivecomputations/dolphin-2.9-llama3-70b   cognitivecomputations/dolphin-2.9-llama3-70b
Model Size70b
Required VRAM39.9 GB
Updated2024-09-18
Maintainerjulep-ai
Model Typellama
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 Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128258
Torch Data Typefloat16
Dolphin 2.9.1 Llama 3 70B AWQ (julep-ai/dolphin-2.9.1-llama-3-70b-awq)

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Note: green Score (e.g. "73.2") means that the model is better than julep-ai/dolphin-2.9.1-llama-3-70b-awq.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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