Mistral 7B Instruct V0.1 Sharded by filipealmeida

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  Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   Llama   Pytorch   Region:us   Sharded

Mistral 7B Instruct V0.1 Sharded 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 Instruct V0.1 Sharded Parameters and Internals

LLM NameMistral 7B Instruct V0.1 Sharded
Repository ๐Ÿค—https://huggingface.co/filipealmeida/Mistral-7B-Instruct-v0.1-sharded 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintainerfilipealmeida
Model Typellama
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.33.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mistral 7B Instruct V0.1 Sharded (filipealmeida/Mistral-7B-Instruct-v0.1-sharded)

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Note: green Score (e.g. "73.2") means that the model is better than filipealmeida/Mistral-7B-Instruct-v0.1-sharded.

Rank the Mistral 7B Instruct V0.1 Sharded 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803