Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ by TheBloke

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  Arxiv:2306.01708   Arxiv:2311.03099   4-bit   Autotrain compatible   Awq Base model:doctor-shotgun/mixt...   Instruct   Merge   Mergekit   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ (TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-AWQ.

Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ Parameters and Internals

LLM NameMixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ
RepositoryOpen on ๐Ÿค— 
Model NameMixtral 8X7B Instruct V0.1 LimaRP ZLoss DARE TIES
Model CreatorDoctor Shotgun
Base Model(s)  ...ct V0.1 LimaRP ZLoss DARE TIES   Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES
Model Size6.5b
Required VRAM24.7 GB
Updated2024-07-01
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801