Mistralic 7B 1 AWQ by TheBloke

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Mistralic 7B 1 AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.1.

  4-bit   Awq Base model:quantized:skunkwork... Base model:skunkworksai/mistra...   Mistral   Quantized   Region:us   Safetensors

Mistralic 7B 1 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistralic 7B 1 AWQ (TheBloke/Mistralic-7B-1-AWQ)
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Mistralic 7B 1 AWQ Parameters and Internals

Model Type 
mistral
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### System: {system_message} ### Instruction: {prompt}
LLM NameMistralic 7B 1 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Mistralic-7B-1-AWQ 
Model NameMistralic 7B-1
Model CreatorSkunkworksAI
Base Model(s)  Mistralic 7B 1   SkunkworksAI/Mistralic-7B-1
Model Size7b
Required VRAM4.2 GB
Updated2026-03-29
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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NSFW DPO Noromaid 7B AWQ32K / 4.2 GB21
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistralic-7B-1-AWQ.

Rank the Mistralic 7B 1 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