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Merged AGI 7B by Q-bert

 »  All LLMs  »  Q-bert  »  Merged AGI 7B   URL Share it on

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  Merged Model   Autotrain compatible Base model:fblgit/juanako-7b-u... Base model:q-bert/metamath-cyb...   Dataset:meta-math/metamathqa   En   Endpoints compatible   Math   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Q-bert/Merged-AGI-7B 

Merged AGI 7B Benchmarks

ARC: 68.6 vs 96.7 (so35)-29.1%
HellaSwag: 86.16 vs 95.3 (gpt4)-9.6%
MMLU: 65.02 vs 88.3 (so35)-26.4%
TruthfulQA: 60.24 vs 59 (gpt4)2.1%
WinoGrande: 80.66 vs 87.5 (gpt4)-7.8%
GSM8K: 63.38 vs 96.4 (so35)-34.3%
LLME Score: 0.13856
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merged AGI 7B (Q-bert/Merged-AGI-7B)
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Merged AGI 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Merge of Q-bert/MetaMath-Cybertron-Starling and fblgit/juanako-7b-UNA using slerp merge.
Supported Languages 
en (fluent)
Input Output 
Input Format:
ChatML format
LLM NameMerged AGI 7B
Repository 🤗https://huggingface.co/Q-bert/Merged-AGI-7B 
Base Model(s)  MetaMath Cybertron Starling   Juanako 7B UNA   Q-bert/MetaMath-Cybertron-Starling   fblgit/juanako-7b-UNA
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-08-19
MaintainerQ-bert
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Merged AGI 7B

Model
Likes
Downloads
VRAM
Merged AGI 7B GGUF3993 GB
Merged AGI 7B GPTQ164 GB
Merged AGI 7B AWQ064 GB

Best Alternatives to Merged AGI 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB20118
MegaBeam Mistral 7B 512K512K / 14.4 GB868350
SpydazWeb AI HumanAI RP512K / 14.4 GB941
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB768116
Hebrew Mistral 7B 200K256K / 30 GB121115
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than Q-bert/Merged-AGI-7B.

Rank the Merged AGI 7B 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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