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Mistral 7B Instruct V0.3 GPTQ 4B by cortecs

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Mistral 7B Instruct V0.3 GPTQ 4B is an open-source language model by cortecs. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4-bit   4bit   Autotrain compatible   Conversational   Dataset:wikitext   Endpoints compatible   Gptq   Instruct   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/cortecs/Mistral-7B-Instruct-v0.3-GPTQ-4b 

Mistral 7B Instruct V0.3 GPTQ 4B Benchmarks

LLME Score: 0.13602
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.3 GPTQ 4B (cortecs/Mistral-7B-Instruct-v0.3-GPTQ-4b)
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Mistral 7B Instruct V0.3 GPTQ 4B Parameters and Internals

Model Type 
text generation
Additional Notes 
We did not check for data contamination. Evaluation was done using Eval. Harness with limit=1000.
Supported Languages 
English (unknown), French (unknown), German (unknown), Italian (unknown), Spanish (unknown)
Input Output 
Input Format:
json
Accepted Modalities:
text
Output Format:
text
LLM NameMistral 7B Instruct V0.3 GPTQ 4B
Repository 🤗https://huggingface.co/cortecs/Mistral-7B-Instruct-v0.3-GPTQ-4b 
Base Model(s)  Finetuned Mistral On Ads   not-lain/finetuned_mistral_on_ads
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
Maintainercortecs
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB31
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB41
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB41
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Note: green Score (e.g. "73.2") means that the model is better than cortecs/Mistral-7B-Instruct-v0.3-GPTQ-4b.

Rank the Mistral 7B Instruct V0.3 GPTQ 4B 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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