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Tulu V2.5 7B Uf Mean 7B Uf Rm by hamishivi

 »  All LLMs  »  hamishivi  »  Tulu V2.5 7B Uf Mean 7B Uf Rm   URL Share it on

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  Arxiv:2406.09279   Autotrain compatible   Base model:allenai/tulu-2-7b Base model:finetune:allenai/tu...   Conversational Dataset:allenai/tulu-2.5-prefe... Dataset:allenai/tulu-v2-sft-mi...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/hamishivi/tulu-v2.5-7b-uf-mean-7b-uf-rm 

Tulu V2.5 7B Uf Mean 7B Uf Rm Benchmarks

LLME Score: 0.1957
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tulu V2.5 7B Uf Mean 7B Uf Rm (hamishivi/tulu-v2.5-7b-uf-mean-7b-uf-rm)

Tulu V2.5 7B Uf Mean 7B Uf Rm Parameters and Internals

Model Type 
RLHF tuned chat model
Use Cases 
Areas:
Research, Chatbot Development
Applications:
Generative AI chat systems, Assistant applications
Primary Use Cases:
Learning from preference feedback in conversational AI
Limitations:
Potential for generating problematic outputs, Not aligned like ChatGPT for safety
Supported Languages 
en (English)
Training Details 
Data Sources:
allenai/tulu-2.5-preference-data, allenai/tulu-v2-sft-mixture
Methodology:
Trained using DPO and PPO. Aligned with UltraFeedback dataset and prompts.
Model Architecture:
PPO with 7B RM and UltraFeedback prompts
Responsible Ai Considerations 
Fairness:
Unknown alignment for safe completions; potential for problematic outputs.
Input Output 
Input Format:
<|user|> Your message here! <|assistant|>
Output Format:
Conversational Response
Performance Tips:
Include a newline after '<|assistant|>' to enhance quality.
LLM NameTulu V2.5 7B Uf Mean 7B Uf Rm
Repository 🤗https://huggingface.co/hamishivi/tulu-v2.5-7b-uf-mean-7b-uf-rm 
Base Model(s)  Tulu 2 7B   allenai/tulu-2-7b
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainerhamishivi
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than hamishivi/tulu-v2.5-7b-uf-mean-7b-uf-rm.

Rank the Tulu V2.5 7B Uf Mean 7B Uf Rm 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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