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MixTAO 7Bx2 MoE Instruct V7.0 GGUF by MaziyarPanahi

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:zhengr/mixtao-7bx2-...   Endpoints compatible   Gguf   Has space   Instruct   License:apache-2.0   Mistral   Mixtral   Moe   Quantized   Region:us   Safetensors

MixTAO 7Bx2 MoE Instruct V7.0 GGUF Benchmarks

HF Avg Score: 67.1  vs  86.1  (GPT-4) -22.1%
ARC: 65.3-32.2%
HellaSwag: 75.1-21.2%
MMLU: 56.8-34.3%
TruthfulQA: 71.320.8%
WinoGrande: 86-1.7%
GSM8K: 49.8-45.9%
nn.n% — How the model compares to the GPT-4.

Rank the MixTAO 7Bx2 MoE Instruct V7.0 GGUF 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  
MixTAO 7Bx2 MoE Instruct V7.0 GGUF (MaziyarPanahi/MixTAO-7Bx2-MoE-Instruct-v7.0-GGUF)

Best Alternatives to MixTAO 7Bx2 MoE Instruct V7.0 GGUF

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...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
...Top 5x7B Instruct S3 V0.1 GGUF64.90K / 2.7 GB1650
...UNA SOLARkrautLM Instruct GGUF64.70K / 4.5 GB3154
...xtral Instruct 8x7b Zloss GGUF64.20K / 17.2 GB86718

MixTAO 7Bx2 MoE Instruct V7.0 GGUF Parameters and Internals

LLM NameMixTAO 7Bx2 MoE Instruct V7.0 GGUF
RepositoryOpen on 🤗 
Model NameMixTAO-7Bx2-MoE-Instruct-v7.0-GGUF
Model Creatorzhengr
Base Model(s)  MixTAO 7Bx2 MoE Instruct V7.0   zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
Required VRAM4.8 GB
Updated2024-07-01
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB   6.7 GB   6.2 GB   5.6 GB   7.8 GB   7.3 GB   9.1 GB   8.9 GB   10.6 GB   13.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Release v2024042801
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