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Mayo by nroggendorff

 »  All LLMs  »  nroggendorff  »  Mayo   URL Share it on

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  4-bit   Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Bitsandbytes   Conversational   Dataset:nroggendorff/mayo   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sft   Sgd   Trl
Model Card on HF 🤗: https://huggingface.co/nroggendorff/mayo 

Mayo Benchmarks

LLME Score: 0.20002
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mayo (nroggendorff/mayo)

Mayo Parameters and Internals

Model Type 
text generation
Supported Languages 
en (supported)
Training Details 
Data Sources:
nroggendorff/mayo
Methodology:
Supervised Fine-Tuning (SFT) and Teacher Reinforced Learning (TRL)
Input Output 
Input Format:
text-generation prompt
Accepted Modalities:
text
Output Format:
generated text
LLM NameMayo
Repository 🤗https://huggingface.co/nroggendorff/mayo 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM4.7 GB
Updated2025-02-05
Maintainernroggendorff
Model Typemistral
Instruction-BasedYes
Model Files  4.7 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.42.4
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typefloat32

Best Alternatives to Mayo

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB522710
SpydazWeb AI HumanAI RP512K / 14.4 GB51
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB760
...1 Summarize 64K LoRANET Merged128K / 14.4 GB50
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB12462781551
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB37145
...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB641511
Note: green Score (e.g. "73.2") means that the model is better than nroggendorff/mayo.

Rank the Mayo 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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Release v20241227
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