Synatra 7B V0.3 DPO by maywell

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded

Synatra 7B V0.3 DPO Benchmarks

Synatra 7B V0.3 DPO (maywell/Synatra-7B-v0.3-dpo)

Synatra 7B V0.3 DPO Parameters and Internals

Model Type 
text generation
Training Details 
Methodology:
Instruction format follows ChatML and Alpaca(No-Input) format.
Hardware Used:
A100 80GB * 1
Input Output 
Input Format:
ChatML and Alpaca(No-Input) formats.
LLM NameSynatra 7B V0.3 DPO
Repository ๐Ÿค—https://huggingface.co/maywell/Synatra-7B-v0.3-dpo 
Model Size7b
Required VRAM15 GB
Updated2025-02-05
Maintainermaywell
Model Typemistral
Model Files  9.9 GB: 1-of-2   5.1 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the Synatra 7B V0.3 DPO

Model
Likes
Downloads
VRAM
Synatra 7B V0.3 DPO EXL23217 GB
Synatra 7B V0.3 DPO GGUF5853 GB
Synatra 7B V0.3 DPO GPTQ0414 GB
Synatra 7B V0.3 DPO AWQ0134 GB

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Astral 256K 7B V2250K / 14.4 GB60
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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than maywell/Synatra-7B-v0.3-dpo.

Rank the Synatra 7B V0.3 DPO 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227