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Mistral Ppo by damienbenveniste

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  Autotrain compatible   Endpoints compatible   Mistral   Ppo   Region:us   Safetensors   Trl
Model Card on HF 🤗: https://huggingface.co/damienbenveniste/mistral-ppo 

Mistral Ppo Benchmarks

LLME Score: 0.17472
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Ppo (damienbenveniste/mistral-ppo)

Mistral Ppo Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation
Additional Notes 
This is a TRL language model fine-tuned for reinforcement learning.
Training Details 
Methodology:
fine-tuned with reinforcement learning
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameMistral Ppo
Repository 🤗https://huggingface.co/damienbenveniste/mistral-ppo 
Model Size84.5m
Required VRAM0.3 GB
Updated2025-03-22
Maintainerdamienbenveniste
Model Typemistral
Model Files  0.3 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length512
Model Max Length512
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Context / RAM
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Mistral Pretraining0.5K / 0.3 GB320
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Mistral Pretraining0.5K / 0.3 GB50
Mistral Pretraining0.5K / 0.3 GB730
Note: green Score (e.g. "73.2") means that the model is better than damienbenveniste/mistral-ppo.

Rank the Mistral Ppo 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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