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Maid Yuzu V8 Alter by rhplus0831

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  Merged Model   Autotrain compatible Base model:cognitivecomputatio... Base model:jondurbin/bagel-dpo... Base model:mistralai/mixtral-8... Base model:mistralai/mixtral-8... Base model:neversleep/noromaid... Base model:smelborp/mixtraloro... Base model:ycros/bagelmisteryt...   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Rank the Maid Yuzu V8 Alter Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  
Maid Yuzu V8 Alter (rhplus0831/maid-yuzu-v8-alter)

Best Alternatives to Maid Yuzu V8 Alter

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Mixtral 8x7B Instruct V0.177.7532K / 93.6 GB5291863945
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...tral 8x7B Instruct V0.1 FP8 V3—32K / 47.1 GB360
...tral 8x7B Instruct V0.1 FP8 V2—32K / 47.1 GB110
...tral 8x7B Instruct V0.1 FP8 V1—32K / 47.1 GB60
Mixtral Instruct ITR 8x7B—32K / 91.4 GB11
Merge Mixtral Prometheus 8x7B—32K / 91.9 GB641
...ELT Mixtral 8x7B Instruct V0.1—32K / 92 GB23
Yk 8x7b Model V1—32K / 92 GB3090
Note: green Score (e.g. "73.2") means that the model is better than rhplus0831/maid-yuzu-v8-alter.

Maid Yuzu V8 Alter Parameters and Internals

LLM NameMaid Yuzu V8 Alter
RepositoryOpen on 🤗 
Base Model(s)  Mixtral 8x7B V0.1   Mixtral 8x7B Instruct V0.1   Bagel DPO 8x7b V0.2   Dolphin 2.7 Mixtral 8x7b   ....4 Mixtral Instruct 8x7b Zloss   BagelMIsteryTour V2 8x7B   MixtralOrochi8x7B   mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-Instruct-v0.1   jondurbin/bagel-dpo-8x7b-v0.2   cognitivecomputations/dolphin-2.7-mixtral-8x7b   NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss   ycros/BagelMIsteryTour-v2-8x7B   smelborp/MixtralOrochi8x7B
Merged ModelYes
Model Size46.7b
Required VRAM91.7 GB
Updated2024-07-07
Maintainerrhplus0831
Model Typemixtral
Instruction-BasedYes
Model Files  2.0 GB: 1-of-48   2.0 GB: 2-of-48   2.0 GB: 3-of-48   2.0 GB: 4-of-48   2.0 GB: 5-of-48   1.9 GB: 6-of-48   2.0 GB: 7-of-48   2.0 GB: 8-of-48   2.0 GB: 9-of-48   2.0 GB: 10-of-48   2.0 GB: 11-of-48   2.0 GB: 12-of-48   1.9 GB: 13-of-48   2.0 GB: 14-of-48   2.0 GB: 15-of-48   2.0 GB: 16-of-48   2.0 GB: 17-of-48   2.0 GB: 18-of-48   2.0 GB: 19-of-48   2.0 GB: 20-of-48   2.0 GB: 21-of-48   2.0 GB: 22-of-48   2.0 GB: 23-of-48   2.0 GB: 24-of-48   2.0 GB: 25-of-48   2.0 GB: 26-of-48   2.0 GB: 27-of-48   2.0 GB: 28-of-48   2.0 GB: 29-of-48   2.0 GB: 30-of-48   2.0 GB: 31-of-48   2.0 GB: 32-of-48   2.0 GB: 33-of-48   2.0 GB: 34-of-48   2.0 GB: 35-of-48   2.0 GB: 36-of-48   2.0 GB: 37-of-48   1.9 GB: 38-of-48   2.0 GB: 39-of-48   2.0 GB: 40-of-48   2.0 GB: 41-of-48   2.0 GB: 42-of-48   2.0 GB: 43-of-48   2.0 GB: 44-of-48   2.0 GB: 45-of-48   2.0 GB: 46-of-48
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Release v2024042801
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