Mistral 7B V0.3 Prune6 by pszemraj

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  Merged Model   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B V0.3 Prune6 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.3 Prune6 (pszemraj/Mistral-7B-v0.3-prune6)

Mistral 7B V0.3 Prune6 Parameters and Internals

Model Type 
layer-pruned, pre-trained language model
Additional Notes 
Merged using the passthrough merge method, with [mergekit](https://github.com/cg123/mergekit). No additional training was done.
Supported Languages 
en (unknown)
LLM NameMistral 7B V0.3 Prune6
Repository ๐Ÿค—https://huggingface.co/pszemraj/Mistral-7B-v0.3-prune6 
Base Model(s)  mistralai/Mistral-7B-v0.3   mistralai/Mistral-7B-v0.3
Merged ModelYes
Model Size7b
Required VRAM11.9 GB
Updated2025-02-22
Maintainerpszemraj
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   2.1 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than pszemraj/Mistral-7B-v0.3-prune6.

Rank the Mistral 7B V0.3 Prune6 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