Mistral Syndicate 7B by spmurrayzzz

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Distillation   En   Endpoints compatible   Finetuned   Instruct   Mistral   Mistral-7b   Pytorch   Region:us   Safetensors   Sharded   Synthetic data   Tensorflow

Mistral Syndicate 7B Benchmarks

Mistral Syndicate 7B (spmurrayzzz/Mistral-Syndicate-7B)

Mistral Syndicate 7B Parameters and Internals

Model Type 
instruct, finetune, synthetic data, distillation
Additional Notes 
Mistral Syndicate is a fine-tuning experiment to explore training dynamics for large language models. Input data was generated by a syndicate of language models selecting for the best responses.
LLM NameMistral Syndicate 7B
Repository ๐Ÿค—https://huggingface.co/spmurrayzzz/Mistral-Syndicate-7B 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-14
Maintainerspmurrayzzz
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than spmurrayzzz/Mistral-Syndicate-7B.

Rank the Mistral Syndicate 7B 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