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Lorge 2x7B UAMM by Alsebay

 »  All LLMs  »  Alsebay  »  Lorge 2x7B UAMM   URL Share it on

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  Merged Model   Autotrain compatible   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Alsebay/Lorge-2x7B-UAMM 

Lorge 2x7B UAMM Benchmarks

ARC: 67.75 vs 96.7 (so35)-29.9%
HellaSwag: 81.09 vs 95.3 (gpt4)-14.9%
MMLU: 59.75 vs 88.3 (so35)-32.3%
TruthfulQA: 60.41 vs 59 (gpt4)2.4%
WinoGrande: 76.8 vs 87.5 (gpt4)-12.2%
GSM8K: 27.67 vs 96.4 (so35)-71.3%
LLME Score: 0.21251
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lorge 2x7B UAMM (Alsebay/Lorge-2x7B-UAMM)

Lorge 2x7B UAMM Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a merge of pre-trained language models using the passthrough merge method.
LLM NameLorge 2x7B UAMM
Repository 🤗https://huggingface.co/Alsebay/Lorge-2x7B-UAMM 
Merged ModelYes
Model Size19.2b
Required VRAM38.2 GB
Updated2024-12-03
MaintainerAlsebay
Model Typemixtral
Model Files  1.9 GB: 1-of-20   1.9 GB: 2-of-20   1.9 GB: 3-of-20   1.9 GB: 4-of-20   1.9 GB: 5-of-20   2.0 GB: 6-of-20   1.9 GB: 7-of-20   1.9 GB: 8-of-20   1.9 GB: 9-of-20   1.9 GB: 10-of-20   1.9 GB: 11-of-20   1.9 GB: 12-of-20   2.0 GB: 13-of-20   1.9 GB: 14-of-20   1.9 GB: 15-of-20   1.9 GB: 16-of-20   2.0 GB: 17-of-20   2.0 GB: 18-of-20   2.0 GB: 19-of-20   1.6 GB: 20-of-20
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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SOLAR Math 2x10.7B V0.24K / 38.4 GB12153
Note: green Score (e.g. "73.2") means that the model is better than Alsebay/Lorge-2x7B-UAMM.

Rank the Lorge 2x7B UAMM 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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