Merge Mixtral Prometheus 8x7B by vicgalle

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  Merged Model   Autotrain compatible Base model:mistralai/mixtral-8... Base model:prometheus-eval/pro...   Conversational   Endpoints compatible   Instruct   License:apache-2.0 Mistralai/mixtral-8x7b-instruc...   Mixtral   Moe Prometheus-eval/prometheus-8x7...   Region:us   Safetensors   Sharded   Tensorflow

Merge Mixtral Prometheus 8x7B Benchmarks

nn.n% — How the model compares to the GPT-4.

Rank the Merge Mixtral Prometheus 8x7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  
Merge Mixtral Prometheus 8x7B (vicgalle/Merge-Mixtral-Prometheus-8x7B)

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Mixtral 8x7B Instruct V0.1 DPO73.4432K / 93.6 GB19041
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MPOMixtral 8x7B Instruct V0.172.832K / 93.6 GB20100
...rkrautLM Mixtral 8x7B Instruct72.7332K / 93.6 GB16281821
TenyxChat 8x7B V172.7232K / 93.6 GB189912
Mixtral 8x7B Instruct V0.172.6232K / 93.6 GB3869773918
Note: green Score (e.g. "73.2") means that the model is better than vicgalle/Merge-Mixtral-Prometheus-8x7B.

Merge Mixtral Prometheus 8x7B Parameters and Internals

LLM NameMerge Mixtral Prometheus 8x7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Prometheus 8x7b V2.0   Mixtral 8x7B Instruct V0.1   prometheus-eval/prometheus-8x7b-v2.0   mistralai/Mixtral-8x7B-Instruct-v0.1
Merged ModelYes
Model Size46.7b
Required VRAM91.9 GB
Updated2024-06-24
Maintainervicgalle
Model Typemixtral
Instruction-BasedYes
Model Files  1.9 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   2.0 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   2.0 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   2.0 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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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