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Prometheus 8x7b V2.0 by prometheus-eval

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Prometheus 8x7b V2.0 is an open-source language model by prometheus-eval. Features: 46.7b LLM, VRAM: 93.6GB, Context: 32K, License: apache-2.0, MoE, LLM Explorer Score: 0.14.

  Arxiv:2310.08491   Arxiv:2405.01535   Conversational Dataset:prometheus-eval/feedba... Dataset:prometheus-eval/prefer...   Deploy:azure   En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/prometheus-eval/prometheus-8x7b-v2.0 

Prometheus 8x7b V2.0 Benchmarks

LLME Score: 0.13719
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Prometheus 8x7b V2.0 (prometheus-eval/prometheus-8x7b-v2.0)
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Prometheus 8x7b V2.0 Parameters and Internals

Model Type 
Language model
Use Cases 
Areas:
Evaluation of LLMs, RLHF
Applications:
Fine-grained evaluation of LLM and Reward model
Primary Use Cases:
Absolute grading (Direct assessment), Relative grading (Pairwise ranking)
Additional Notes 
Feedback Collection, Preference Collection, and Prometheus 2 subject to OpenAI's Terms of Use. Potential violations should be reported.
Supported Languages 
English (NLP)
Training Details 
Data Sources:
Feedback Collection, Preference Collection
Data Volume:
100K feedback within Feedback Collection and 200K feedback within Preference Collection
Methodology:
Fine-tuning and weight merging to support absolute and relative grading
Input Output 
Input Format:
Requires different prompt templates for absolute and relative grading, utilizing Mistral conversation templates.
Output Format:
Generates feedback and score decision for absolute grading or indicates the better response for relative grading.
LLM NamePrometheus 8x7b V2.0
Repository 🤗https://huggingface.co/prometheus-eval/prometheus-8x7b-v2.0 
Model Size46.7b
Required VRAM93.6 GB
Updated2026-03-29
Maintainerprometheus-eval
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than prometheus-eval/prometheus-8x7b-v2.0.

Rank the Prometheus 8x7b V2.0 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  

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