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Mistral 7B Instruct V0.2 GPTQ by TheBloke

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Mistral 7B Instruct V0.2 GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.17.

  Arxiv:2310.06825   4-bit   Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Conversational   Finetuned   Gptq   Instruct   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ 

Mistral 7B Instruct V0.2 GPTQ Benchmarks

LLME Score: 0.17034
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 V0.2 GPTQ (TheBloke/Mistral-7B-Instruct-v0.2-GPTQ)
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Mistral 7B Instruct V0.2 GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
The model is fine-tuned for instruction tasks and is based on the Mistral-7B-v0.1 architecture. It has alterations such as Grouped-Query Attention, Sliding-Window Attention, and a Byte-fallback BPE tokenizer.
Input Output 
Input Format:
~~[INST] {prompt} [/INST]
LLM NameMistral 7B Instruct V0.2 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ 
Model NameMistral 7B Instruct v0.2
Model CreatorMistral AI_
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM4.2 GB
Updated2025-11-01
MaintainerTheBloke
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB60
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...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 TheBloke/Mistral-7B-Instruct-v0.2-GPTQ.

Rank the Mistral 7B Instruct V0.2 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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