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Dolphin 2.2 70B 5.0bpw H6 EXL2 by LoneStriker

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  Merged Model   Autotrain compatible   Dataset:ehartford/dolphin Dataset:ehartford/samantha-dat... Dataset:ehartford/wizardlm evo... Dataset:jondurbin/airoboros-2....   En   Endpoints compatible   Exl2   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded   Tensorflow

Dolphin 2.2 70B 5.0bpw H6 EXL2 Benchmarks

LLME Score: 0.16257
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dolphin 2.2 70B 5.0bpw H6 EXL2 Parameters and Internals

LLM NameDolphin 2.2 70B 5.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/dolphin-2.2-70b-5.0bpw-h6-exl2 
Merged ModelYes
Model Size70b
Required VRAM43.6 GB
Updated2024-10-08
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-6   8.5 GB: 2-of-6   8.5 GB: 3-of-6   8.5 GB: 4-of-6   8.6 GB: 5-of-6   0.9 GB: 6-of-6
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16
Dolphin 2.2 70B 5.0bpw H6 EXL2 (LoneStriker/dolphin-2.2-70b-5.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/dolphin-2.2-70b-5.0bpw-h6-exl2.

Rank the Dolphin 2.2 70B 5.0bpw H6 EXL2 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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