MonadGPT AWQ by TheBloke

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MonadGPT AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

  4-bit   Awq   Base model:pclanglais/monadgpt Base model:quantized:pclanglai...   Conversational   En   Fr   La   Mistral   Quantized   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/MonadGPT-AWQ 

MonadGPT AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MonadGPT AWQ (TheBloke/MonadGPT-AWQ)
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MonadGPT AWQ Parameters and Internals

LLM NameMonadGPT AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/MonadGPT-AWQ 
Model NameMonadGPT 7B
Model CreatorPierre-Carl Langlais
Base Model(s)  MonadGPT   Pclanglais/MonadGPT
Model Size7b
Required VRAM4.2 GB
Updated2026-03-29
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen fr la
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
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Mahou 1.3a Mistral 7B AWQ32K / 4.2 GB31
Mahou 1.3 Mistral 7B AWQ32K / 4.2 GB70
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MonadGPT-AWQ.

Rank the MonadGPT AWQ 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 v20260328a