Instruct Mixtral 8x7B V0.1 Dolly15K AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:brillibits/instruct...   Conversational Dataset:databricks/databricks-...   Instruct   License:apache-2.0   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Instruct Mixtral 8x7B V0.1 Dolly15K AWQ Benchmarks

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  
Instruct Mixtral 8x7B V0.1 Dolly15K AWQ (TheBloke/Instruct_Mixtral-8x7B-v0.1_Dolly15K-AWQ)

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Mixtral 8x7B Instruct V0.1 AWQ63.732K / 24.7 GB102554
Mixtral Instruct AWQ32K / 24.7 GB1452439
Dolphin 2.7 Mixtral 8x7b AWQ32K / 24.7 GB398519
Dolphin 2.6 Mixtral 8x7b AWQ32K / 24.7 GB2013
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB1383211
Dolphin 2.5 Mixtral 8x7b AWQ32K / 24.7 GB86
...0.1 LimaRP ZLoss DARE TIES AWQ32K / 24.7 GB2883
...1 Mixtral 8x7b Instruct V3 AWQ32K / 24.7 GB361
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Instruct_Mixtral-8x7B-v0.1_Dolly15K-AWQ.

Instruct Mixtral 8x7B V0.1 Dolly15K AWQ Parameters and Internals

LLM NameInstruct Mixtral 8x7B V0.1 Dolly15K AWQ
RepositoryOpen on ๐Ÿค— 
Model NameInstruct Mixtral 8X7B V0.1 Dolly15K
Model CreatorBrillibits
Base Model(s)  ...uct Mixtral 8x7B V0.1 Dolly15K   Brillibits/Instruct_Mixtral-8x7B-v0.1_Dolly15K
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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