WikiHow Mistral Instruct 7B by ajibawa-2023

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  Autotrain compatible   Conversational   Dataset:ajibawa-2023/wikihow   Educational   En   Endpoints compatible   Instruct   License:apache-2.0   Mistral   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Tutorial   Wikihow

Rank the WikiHow Mistral Instruct 7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  
WikiHow Mistral Instruct 7B (ajibawa-2023/WikiHow-Mistral-Instruct-7B)

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HF Rank
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Mistral 7B Instruct V0.2 Q454.632K /  GB340
Rubra 11B H 5.0bpw EXL254.632K / 1.7 GB101
...ecurity 7B V0.2 3.0bpw H6 EXL254.632K / 3 GB752
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....2 Neural Story 3.0bpw H6 EXL254.632K / 3 GB130
...ecurity 7B V0.2 4.0bpw H6 EXL254.632K / 3.9 GB230
Panda 7B V0.1 4.0bpw H6 EXL254.632K / 3.9 GB160
Note: green Score (e.g. "73.2") means that the model is better than ajibawa-2023/WikiHow-Mistral-Instruct-7B.

WikiHow Mistral Instruct 7B Parameters and Internals

LLM NameWikiHow Mistral Instruct 7B
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.4 GB
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
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024040901