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Smaugv0.1 4.65bpw H6 EXL2 by LoneStriker

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Smaugv0.1 4.65bpw H6 EXL2 Parameters and Internals

LLM NameSmaugv0.1 4.65bpw H6 EXL2
RepositoryOpen on 🤗 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Merged ModelYes
Model Size7b
Required VRAM20.8 GB
Updated2024-07-26
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   3.6 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Smaugv0.1 4.65bpw H6 EXL2 (LoneStriker/Smaugv0.1-4.65bpw-h6-exl2)

Best Alternatives to Smaugv0.1 4.65bpw H6 EXL2

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HF Rank
Context/RAM
Downloads
Likes
Smaugv0.1 6.0bpw H6 EXL20.2195K / 26.4 GB44
Smaugv0.1 5.0bpw H6 EXL20.2195K / 22.3 GB73
Smaugv0.1 4.0bpw H6 EXL20.2195K / 18 GB151
Smaugv0.1 3.0bpw H6 EXL20.2195K / 13.9 GB71
Smaugv0.1 8.0bpw H8 EXL20.2195K / 34.9 GB71
Mistral 7B Openplatypus 1K0.232K / 29 GB9350
Mistral 7B OpenOrca 1K0.232K / 29 GB9293
Mistral 7B A U0.5 B2 Ver0.40.232K / 14.4 GB17000
Mistral 7B OP U1k Ver0.60.232K / 14.4 GB17390
MIstral 7B SlimOrca OP 2K0.232K / 14.4 GB17450
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Smaugv0.1-4.65bpw-h6-exl2.

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Release v2024072501
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