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Mistral 7B V0.3 by unsloth

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Mistral 7B V0.3 Benchmarks

LLME Score: 0.26875
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 Parameters and Internals

LLM NameMistral 7B V0.3
Repository 🤗https://huggingface.co/unsloth/mistral-7b-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2024-09-08
Maintainerunsloth
Model Typemistral
Instruction-BasedYes
Model Files  5.0 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 Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typebfloat16
Mistral 7B V0.3 (unsloth/mistral-7b-v0.3)

Quantized Models of the Mistral 7B V0.3

Model
Likes
Downloads
VRAM
...3 Sentiment May 23 2024 2epoch04214 GB
Mistral 7B V0.3 GPTQ054 GB

Best Alternatives to Mistral 7B V0.3

Best Alternatives
Context / RAM
Downloads
Likes
...daz Web AI ChatML 512K Project512K / 14.5 GB170
... Summarize 64K QLoRANET Merged128K / 4.1 GB50
...1 Summarize 64K LoRANET Merged128K / 14.4 GB70
Mistral 7B Instruct V0.232K / 14.4 GB10528152499
Mistral 7B Instruct V0.132K / 14.4 GB6276621495
...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB524810
...ty Instruct 3M 0625 Mistral 7B32K / 14.4 GB20022
Dolphin 2.8 Mistral 7B V0232K / 14.4 GB24053205
XLAM 7B R32K / 14.4 GB9019
...lExperiment 7B MagicCoder V7.532K / 14.4 GB51016
Note: green Score (e.g. "73.2") means that the model is better than unsloth/mistral-7b-v0.3.

Rank the Mistral 7B V0.3 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 v2024072803
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