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MixTAO 7Bx2 MoE V8.1 by zhengr

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Model Card on HF 🤗: https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1 

MixTAO 7Bx2 MoE V8.1 Benchmarks

MMLU Pro: 20.52
GPQA: 6.49
MUSR: 8.3
BBH: 19.18
IFEval: 41.88 vs 88 (so35)-52.4%
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%
TruthfulQA: 78.57 vs 59 (gpt4)33.2%
WinoGrande: 87.37 vs 87.5 (gpt4)-0.1%
GSM8K: 71.11 vs 96.4 (so35)-26.2%
MATH Lvl 5: 6.65
LLME Score: 0.28332
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)

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 GGUF11624 GB

Best Alternatives to MixTAO 7Bx2 MoE V8.1

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MixTAO 7Bx2 MoE V8.132K / 25.8 GB958155
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB50
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB50
LogoS 7Bx2 MoE 13B V0.232K / 25.9 GB385210
MultiMash8 13B Slerp32K / 25.7 GB280
MultiMash9 13B Slerp32K / 25.7 GB260
MultiMash11 13B Slerp32K / 25.7 GB210
MultiMash10 13B Slerp32K / 25.7 GB260
Multimash3 12B Slerp32K / 25.7 GB290
MixTaoTruthful 13B Slerp32K / 25.7 GB190
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

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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 v20241227
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