Mistral 7B V0.3 GPTQ by thesven

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  4-bit   Autotrain compatible   Endpoints compatible   Gptq   Mistral   Quantized   Region:us   Safetensors

Mistral 7B V0.3 GPTQ Benchmarks

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

Model Type 
Large Language Model, Instruct fine-tuned model
Use Cases 
Limitations:
No moderation mechanisms
Considerations:
Looking for community engagement to respect guardrails.
Additional Notes 
A GPTQ 4-bit quantized version is available.
Training Details 
Methodology:
Instruct fine-tuning
Input Output 
Input Format:
Prompt-based input format.
Accepted Modalities:
Text
Output Format:
Textual output
LLM NameMistral 7B V0.3 GPTQ
Repository ๐Ÿค—https://huggingface.co/thesven/Mistral-7B-v0.3-GPTQ 
Base Model(s)  unsloth/mistral-7b-v0.3   unsloth/mistral-7b-v0.3
Model Size7b
Required VRAM4.2 GB
Updated2025-08-14
Maintainerthesven
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than thesven/Mistral-7B-v0.3-GPTQ.

Rank the Mistral 7B V0.3 GPTQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124