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TheTop 5x7B Instruct S3 V0.1 GGUF by MaziyarPanahi

 »  All LLMs  »  MaziyarPanahi  »  TheTop 5x7B Instruct S3 V0.1 GGUF   URL Share it on

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:maziyarpanahi/theto...   Endpoints compatible   Gguf   Instruct   License:apache-2.0   Merge   Mistral   Moe   Quantized   Region:us   Safetensors

TheTop 5x7B Instruct S3 V0.1 GGUF Benchmarks

HF Avg Score: 64.9  vs  86.1  (GPT-4) -24.6%
ARC: 62.4-35.2%
HellaSwag: 73.9-22.5%
MMLU: 57.3-33.8%
TruthfulQA: 61.94.9%
WinoGrande: 82-6.3%
GSM8K: 51.9-43.6%
nn.n% — How the model compares to the GPT-4.

Rank the TheTop 5x7B Instruct S3 V0.1 GGUF 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  
TheTop 5x7B Instruct S3 V0.1 GGUF (MaziyarPanahi/TheTop-5x7B-Instruct-S3-v0.1-GGUF)

Best Alternatives to TheTop 5x7B Instruct S3 V0.1 GGUF

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...AO 7Bx2 MoE Instruct V7.0 GGUF67.10K / 4.8 GB33510
...Top 5x7B Instruct S5 V0.1 GGUF65.90K / 2.7 GB1711
...eTop 5x7B Instruct T V0.1 GGUF65.70K / 2.7 GB1790
...Top 5x7B Instruct S4 V0.1 GGUF65.70K / 2.7 GB1730
...eTop 5x7B Instruct D V0.1 GGUF65.40K / 2.7 GB1750
Sakura SOLAR Instruct GGUF65.20K / 4.5 GB3145
...rautLM UNA SOLAR Instruct GGUF65.10K / 4.5 GB47712
...uerkrautLM SOLAR Instruct GGUF65.10K / 4.5 GB2962
...UNA SOLARkrautLM Instruct GGUF64.70K / 4.5 GB3154
...xtral Instruct 8x7b Zloss GGUF64.20K / 17.2 GB86718
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/TheTop-5x7B-Instruct-S3-v0.1-GGUF.

TheTop 5x7B Instruct S3 V0.1 GGUF Parameters and Internals

LLM NameTheTop 5x7B Instruct S3 V0.1 GGUF
RepositoryOpen on 🤗 
Model NameTheTop-5x7B-Instruct-S3-v0.1-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  TheTop 5x7B Instruct S3 V0.1   MaziyarPanahi/TheTop-5x7B-Instruct-S3-v0.1
Required VRAM2.7 GB
Updated2024-07-01
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Release v2024042801
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