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Mistral 7B V0.1 GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Mistral 7B V0.1 GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:mistralai/mistral-7...   Gptq   License:apache-2.0   Mistral   Pretrained   Quantized   Region:us   Safetensors

Mistral 7B V0.1 GPTQ Benchmarks

HF Avg Score: 60.1  vs  86.1  (GPT-4) -30.2%
ARC: 73.6-23.6%
HellaSwag: 66.3-30.4%
MMLU: 56.4-34.8%
GSM8K: 34.2-62.8%
OpenCompass Avg: 53.6  vs  73.3  (GPT-4) -26.9%
Exam: 63.7-17.5%
Language: 41.9-32.4%
Knowledge: 58.1-21%
Understanding: 62.3-11%
Reasoning: 49.8-33.1%
nn.n% — How the model compares to the GPT-4.

Rank the Mistral 7B V0.1 GPTQ 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 V0.1 GPTQ (TheBloke/Mistral-7B-v0.1-GPTQ)

Best Alternatives to Mistral 7B V0.1 GPTQ

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
KAI 7B V0.174.4532K / 14.4 GB1410
Dolphin 2.2.1 Mistral 7B73.1732K / 14.4 GB8003188
Mistral 7B V0.168.5332K / 14.4 GB7103103291
....1 Mistral 7B Bnb 4bit Smashed64.232K / 4.5 GB140
....1 Mistral 7B AWQ 4bit Smashed64.232K / 4.2 GB80
...andle Dolphin 2.2.1 Mistral 7B64.232K / 14.4 GB2650
Mistral 7B Instruct V0.162.2332K / 14.4 GB4013861465
Notus 7B V160.1532K / 14.4 GB3474118
Cosmosage V260.132K / 4.2 GB213
...t 3.5 0106 128K 4.0bpw H6 EXL260.1128K / 3.9 GB01
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistral-7B-v0.1-GPTQ.

Mistral 7B V0.1 GPTQ Parameters and Internals

LLM NameMistral 7B V0.1 GPTQ
RepositoryOpen on 🤗 
Model NameMistral 7B v0.1
Model CreatorMistral AI
Base Model(s)  Mistral 7B V0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM4.2 GB
Updated2024-07-05
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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