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Merged AGI 7B GPTQ by TheBloke

 ยป  All LLMs  ยป  TheBloke  ยป  Merged AGI 7B GPTQ   URL Share it on

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  Merged Model   4-bit   Autotrain compatible Base model:quantized:q-bert/me...   Dataset:meta-math/metamathqa   En   Gptq   Math   Mistral   Quantized   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/Merged-AGI-7B-GPTQ 

Merged AGI 7B GPTQ Benchmarks

LLME Score: 0.12836
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 GPTQ (TheBloke/Merged-AGI-7B-GPTQ)
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Merged AGI 7B GPTQ Parameters and Internals

LLM NameMerged AGI 7B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Merged-AGI-7B-GPTQ 
Model NameMerged AGI 7B
Model CreatorTalha Rüzgar AkkuลŸ
Base Model(s)  Merged AGI 7B   Q-bert/Merged-AGI-7B
Merged ModelYes
Model Size7b
Required VRAM4.2 GB
Updated2025-08-19
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Merged-AGI-7B-GPTQ.

Rank the Merged AGI 7B GPTQ Capabilities

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Release v20241124
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