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Mixtral Instruct AWQ by casperhansen

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   License:apache-2.0   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mixtral Instruct AWQ Capabilities

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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  
Mixtral Instruct AWQ (casperhansen/mixtral-instruct-awq)

Best Alternatives to Mixtral Instruct AWQ

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HF Rank
Context/RAM
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Likes
...ixtral Instruct 8x7b Zloss AWQ64.232K / 24.7 GB101
...utLM Mixtral 8x7B Instruct AWQ63.832K / 24.7 GB4682
Mixtral 8x7B Instruct V0.1 AWQ63.732K / 24.7 GB102554
...Mixtral 8x7B V0.1 Dolly15K AWQ63.532K / 24.7 GB61
Dolphin 2.7 Mixtral 8x7b AWQ—32K / 24.7 GB398519
Dolphin 2.6 Mixtral 8x7b AWQ—32K / 24.7 GB2013
Mixtral 8x7B Instruct V0.1 AWQ—32K / 24.7 GB1383211
Dolphin 2.5 Mixtral 8x7b AWQ—32K / 24.7 GB86
...0.1 LimaRP ZLoss DARE TIES AWQ—32K / 24.7 GB2883
...1 Mixtral 8x7b Instruct V3 AWQ—32K / 24.7 GB361
Note: green Score (e.g. "73.2") means that the model is better than casperhansen/mixtral-instruct-awq.

Mixtral Instruct AWQ Parameters and Internals

LLM NameMixtral Instruct AWQ
RepositoryOpen on 🤗 
Model Size6.5b
Required VRAM24.7 GB
Updated2024-07-01
Maintainercasperhansen
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
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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