MegaDolphin 120B 2.65bpw H6 EXL2 by LoneStriker

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

MegaDolphin 120B 2.65bpw H6 EXL2 Benchmarks

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

MegaDolphin 120B 2.65bpw H6 EXL2 Parameters and Internals

LLM NameMegaDolphin 120B 2.65bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/MegaDolphin-120b-2.65bpw-h6-exl2 
Merged ModelYes
Model Size120b
Required VRAM40.5 GB
Updated2024-09-07
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-5   8.5 GB: 2-of-5   8.6 GB: 3-of-5   8.6 GB: 4-of-5   6.2 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16
MegaDolphin 120B 2.65bpw H6 EXL2 (LoneStriker/MegaDolphin-120b-2.65bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/MegaDolphin-120b-2.65bpw-h6-exl2.

Rank the MegaDolphin 120B 2.65bpw H6 EXL2 Capabilities

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Instruction Following and Task Automation  
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Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803