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MixTAO 7Bx2 MoE V8.1 by zhengr

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MixTAO 7Bx2 MoE V8.1 is an open-source language model by zhengr. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, License: apache-2.0, MoE, LLM Explorer Score: 0.21, Arc: 73.8, HellaSwag: 89.2, MMLU: 64.9, GSM8K: 71.1.

  Autotrain compatible   Conversational   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1 

MixTAO 7Bx2 MoE V8.1 Benchmarks

ARC: 73.81 vs 96.7 (so35)-23.7%
HellaSwag: 89.22 vs 95.3 (gpt4)-6.4%
MMLU: 64.92 vs 88.3 (so35)-26.5%
GSM8K: 71.11 vs 96.4 (so35)-26.2%
LLME Score: 0.20543
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MixTAO 7Bx2 MoE V8.1 (zhengr/MixTAO-7Bx2-MoE-v8.1)
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MixTAO 7Bx2 MoE V8.1 Parameters and Internals

Model Type 
MoE, text generation
Additional Notes 
MixTAO-7Bx2-MoE is a Mixture of Experts model mainly used for large model technology experiments.
Input Output 
Input Format:
Alpaca Prompt Template
Accepted Modalities:
text
Output Format:
Text response
LLM NameMixTAO 7Bx2 MoE V8.1
Repository 🤗https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1 
Model Size12.9b
Required VRAM25.8 GB
Updated2024-09-16
Maintainerzhengr
Model Typemixtral
Model Files  1.9 GB: 1-of-13   2.0 GB: 2-of-13   2.0 GB: 3-of-13   2.0 GB: 4-of-13   1.9 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.0 GB: 8-of-13   2.0 GB: 9-of-13   2.0 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   2.0 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the MixTAO 7Bx2 MoE V8.1

Model
Likes
Downloads
VRAM
MixTAO 7Bx2 MoE V8.1 GGUF103904 GB

Best Alternatives to MixTAO 7Bx2 MoE V8.1

Best Alternatives
Context / RAM
Downloads
Likes
MixTAO 7Bx2 MoE V8.132K / 25.8 GB1986755
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB60
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB101
LogoS 7Bx2 MoE 13B V0.232K / 25.9 GB828110
MultiMash8 13B Slerp32K / 25.7 GB50
MultiMash11 13B Slerp32K / 25.7 GB90
MultiMash9 13B Slerp32K / 25.7 GB50
MultiMash10 13B Slerp32K / 25.7 GB80
Multimash3 12B Slerp32K / 25.7 GB80
MixTaoTruthful 13B Slerp32K / 25.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than zhengr/MixTAO-7Bx2-MoE-v8.1.

Rank the MixTAO 7Bx2 MoE V8.1 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  

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