Merge Mixtral Prometheus 8x7B by vicgalle

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  Merged Model   Arxiv:2406.07188   Autotrain compatible Base model:mistralai/mixtral-8... Base model:prometheus-eval/pro...   Conversational   Endpoints compatible   Instruct Mistralai/mixtral-8x7b-instruc...   Mixtral   Model-index   Moe Prometheus-eval/prometheus-8x7...   Region:us   Safetensors   Sharded   Tensorflow

Merge Mixtral Prometheus 8x7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merge Mixtral Prometheus 8x7B (vicgalle/Merge-Mixtral-Prometheus-8x7B)

Merge Mixtral Prometheus 8x7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Merge-Mixtral-Prometheus-8x7B is a merge of two models using LazyMergekit: prometheus-eval/prometheus-8x7b-v2.0 and mistralai/Mixtral-8x7B-Instruct-v0.1
LLM NameMerge Mixtral Prometheus 8x7B
Repository ๐Ÿค—https://huggingface.co/vicgalle/Merge-Mixtral-Prometheus-8x7B 
Base Model(s)  prometheus-eval/prometheus-8x7b-v2.0   mistralai/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
Updated2024-12-26
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
Torch Data Typebfloat16

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Mixtral 8x7B Instruct V0.132K / 93.6 GB31616584237
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Karakuri Lm 8x7b Instruct V0.132K / 93.6 GB46519
XLAM V0.1 R32K / 93.6 GB75852
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB11283
Autotrain Xva0j Mixtral8x7b32K / 93.6 GB810
TeTO MS 8x7b32K / 93.7 GB144
Note: green Score (e.g. "73.2") means that the model is better than vicgalle/Merge-Mixtral-Prometheus-8x7B.

Rank the Merge Mixtral Prometheus 8x7B 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217