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Mistral 7B Instruct V0.3 GPTQ 8B by cortecs

 »  All LLMs  »  cortecs  »  Mistral 7B Instruct V0.3 GPTQ 8B   URL Share it on

  13   
  8-bit   8bit   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-8b 

Mistral 7B Instruct V0.3 GPTQ 8B Benchmarks

LLME Score: 0.20141
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 8B (cortecs/Mistral-7B-Instruct-v0.3-GPTQ-8b)

Mistral 7B Instruct V0.3 GPTQ 8B Parameters and Internals

Model Type 
multilingual, text generation
Additional Notes 
We did not check for data contamination. Evaluation was done using Eval. Harness using limit=1000.
LLM NameMistral 7B Instruct V0.3 GPTQ 8B
Repository 🤗https://huggingface.co/cortecs/Mistral-7B-Instruct-v0.3-GPTQ-8b 
Base Model(s)  Finetuned Mistral On Ads   not-lain/finetuned_mistral_on_ads
Model Size7b
Required VRAM7.7 GB
Updated2024-12-22
Maintainercortecs
Model Typemistral
Instruction-BasedYes
Model Files  7.7 GB
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.1
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 cortecs/Mistral-7B-Instruct-v0.3-GPTQ-8b.

Rank the Mistral 7B Instruct V0.3 GPTQ 8B 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 v20241217
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