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Mistral 7B Instruct V0.3 GPTQ by Bourdin

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Mistral 7B Instruct V0.3 GPTQ is an open-source language model by Bourdin. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

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

Mistral 7B Instruct V0.3 GPTQ Benchmarks

LLME Score: 0.13711
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 (Bourdin/Mistral-7B-Instruct-v0.3-GPTQ)
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Mistral 7B Instruct V0.3 GPTQ Parameters and Internals

Model Type 
Large Language Model, Instruct fine-tuned
Additional Notes 
The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance. It does not have any moderation mechanisms. Future improvements will focus on respecting guardrails for moderated outputs.
LLM NameMistral 7B Instruct V0.3 GPTQ
Repository 🤗https://huggingface.co/Bourdin/Mistral-7B-Instruct-v0.3-GPTQ 
Base Model(s)  Finetuned Mistral On Ads   not-lain/finetuned_mistral_on_ads
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerBourdin
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Mistral 7B Instruct V0.3 GPTQ

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Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB655511
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB683923
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB4736054
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB294618
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB60
...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB31
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB41
...stral 7B Instruct V0.3 GPTQ 4B32K / 4.2 GB50
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB41
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB1241
Note: green Score (e.g. "73.2") means that the model is better than Bourdin/Mistral-7B-Instruct-v0.3-GPTQ.

Rank the Mistral 7B Instruct 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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