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Merge Mistral Prometheus 7B by vicgalle

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  Merged Model   Arxiv:2406.07188   4bit/mistral-7b-instruct-v0.1   Autotrain compatible Base model:4bit/mistral-7b-ins... Base model:prometheus-eval/pro...   Conversational   Endpoints compatible   Instruct   Mistral Prometheus-eval/prometheus-7b-...   Region:us   Safetensors   Sharded   Tensorflow

Merge Mistral Prometheus 7B Benchmarks

MMLU Pro: 19.08
GPQA: 1.79
MUSR: 9.95
BBH: 18.41
IFEval: 48.48 vs 88 (so35)-44.9%
MATH Lvl 5: 1.59
LLME Score: 0.26968
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Merge Mistral Prometheus 7B Parameters and Internals

LLM NameMerge Mistral Prometheus 7B
Repository 🤗https://huggingface.co/vicgalle/Merge-Mistral-Prometheus-7B 
Base Model(s)  prometheus-eval/prometheus-7b-v2.0   4bit/Mistral-7B-Instruct-v0.1   prometheus-eval/prometheus-7b-v2.0   4bit/Mistral-7B-Instruct-v0.1
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-08
Maintainervicgalle
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Merge Mistral Prometheus 7B (vicgalle/Merge-Mistral-Prometheus-7B)

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Note: green Score (e.g. "73.2") means that the model is better than vicgalle/Merge-Mistral-Prometheus-7B.

Rank the Merge Mistral Prometheus 7B 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  
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Multi-Language Support and Translation  

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Release v2024072803
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