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Mistral 7B Instruct V0.1 AWQ by casperhansen

 »  All LLMs  »  casperhansen  »  Mistral 7B Instruct V0.1 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq   Endpoints compatible   Instruct   License:apache-2.0   Mistral   Pytorch   Quantized   Region:us

Mistral 7B Instruct V0.1 AWQ Benchmarks

LMSys ELO: 887  vs  1158  (GPT-4) -23.4%
ARC: 70.5-26.8%
HellaSwag: 53.8-43.5%
MMLU: 49.5-42.8%
GSM8K: 34.8-62.2%
OpenCompass Avg: 44.8  vs  73.3  (GPT-4) -38.9%
Exam: 60.4-21.8%
Language: 12.5-79.8%
Knowledge: 42.5-42.2%
Understanding: 62-11.4%
Reasoning: 44-40.9%
nn.n% — How the model compares to the GPT-4.

Rank the Mistral 7B Instruct V0.1 AWQ Capabilities

🆘 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! 🌟

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  
Mistral 7B Instruct V0.1 AWQ (casperhansen/mistral-7b-instruct-v0.1-awq)

Best Alternatives to Mistral 7B Instruct V0.1 AWQ

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Maxine 7B 0401 Stock76.7332K / 14.4 GB8911
CalmExperiment 7B Slerp76.6732K / 14.4 GB9020
Myriad 7B Slerp76.6632K / 14.4 GB9160
Versatile 7B76.6632K / 14.5 GB7780
Calme 7B Instruct V0.976.6232K / 14.4 GB14839
Calme 7B Instruct V0.276.6132K / 14.5 GB112811
Calme 7B Instruct V0.376.532K / 14.4 GB8465
Calme 7B Instruct V0.1.176.4932K / 14.4 GB7610
Calme 7B Instruct V0.576.0532K / 14.4 GB91711
Metis Chat Instruct 7B74.6632K / 14.4 GB9180
Note: green Score (e.g. "73.2") means that the model is better than casperhansen/mistral-7b-instruct-v0.1-awq.

Mistral 7B Instruct V0.1 AWQ Parameters and Internals

LLM NameMistral 7B Instruct V0.1 AWQ
RepositoryOpen on 🤗 
Base Model(s)  ... Sql Without Flash Attention 2   frankmorales2020/Mistral-7B-text-to-sql-without-flash-attention-2
Model Size7b
Required VRAM4.2 GB
Updated2024-07-01
Maintainercasperhansen
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801
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