M7 7B by liminerity

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  Merged Model   Autotrain compatible   Endpoints compatible   License:apache-2.0   Memfdmsfndsfjkasjkl   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Rank the M7 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  
M7 7B (liminerity/M7-7b)

Best Alternatives to M7 7B

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
...t 3.5 0106 128K 4.0bpw H6 EXL260.1128K / 3.9 GB01
...t 3.5 0106 128K 8.0bpw H8 EXL260.1128K / 7.4 GB01
Note: green Score (e.g. "73.2") means that the model is better than liminerity/M7-7b.

M7 7B Parameters and Internals

LLM NameM7 7B
RepositoryOpen on ๐Ÿค— 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-07-05
Maintainerliminerity
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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