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TheTop 5x7B Instruct T V0.1 by MaziyarPanahi

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TheTop 5x7B Instruct T V0.1 Benchmarks

ARC: 73.63-23.5%
HellaSwag: 88.85-6.8%
MMLU: 64.22-25.8%
TruthfulQA: 70.7820%
WinoGrande: 85.79-2%
GSM8K: 66.49-27.7%
nn.n% — How the model compares to the GPT-4.

TheTop 5x7B Instruct T V0.1 Parameters and Internals

LLM NameTheTop 5x7B Instruct T V0.1
RepositoryOpen on 🤗 
Model Size7.2b
Required VRAM14.5 GB
Updated2024-07-26
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  3.9 GB: 1-of-4   4.0 GB: 2-of-4   4.0 GB: 3-of-4   2.6 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
TheTop 5x7B Instruct T V0.1 (MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1)

Quantized Models of the TheTop 5x7B Instruct T V0.1

Model
Likes
Downloads
VRAM
...eTop 5x7B Instruct T V0.1 GGUF01402 GB

Best Alternatives to TheTop 5x7B Instruct T V0.1

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Instruction Synthesizer0.332K / 28.9 GB104655
... Alpha Instruction Tuned SLERP0.332K / 14.5 GB19160
Zion Alpha Instruction Tuned0.332K / 14.5 GB19100
Mixtral AI CyberTron Ultra0.332K / 14.4 GB00
Ende Chat 0.0.40.332K / 14.4 GB3160
WestlakeMaziyar 7B Slerp0.332K / 14.5 GB2560
...nstruct V1 Gdpr Finetuned V1.20.332K / 28.4 GB240
Mixtral AI Cyber 3.00.232K / 14.3 GB3130
Test Case 60.232K / 28.9 GB3130
Test Case 30.232K / 28.9 GB2890
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1.

Rank the TheTop 5x7B Instruct T V0.1 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 v2024072501
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