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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: 0.27438
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 GGUF111324 GB

Best Alternatives to MixTAO 7Bx2 MoE V8.1

Best Alternatives
Context / RAM
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Likes
MixTAO 7Bx2 MoE V8.132K / 25.8 GB1021455
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 GB314010
MultiMash8 13B Slerp32K / 25.7 GB80
MultiMash11 13B Slerp32K / 25.7 GB60
MultiMash9 13B Slerp32K / 25.7 GB80
MultiMash10 13B Slerp32K / 25.7 GB70
MixTaoTruthful 13B Slerp32K / 25.7 GB50
Multimash3 12B Slerp32K / 25.7 GB70
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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Release v20241227
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