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

 »  All LLMs  »  cortecs  »  Mistral 7B Instruct V0.3 GPTQ 4B   URL Share it on

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  4-bit   4bit   Autotrain compatible   Conversational   Dataset:wikitext   Endpoints compatible   Gptq   Instruct   Mistral   Quantized   Region:us

Mistral 7B Instruct V0.3 GPTQ 4B Benchmarks

LLME Score: 0.20708
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 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
Updated2024-11-17
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
Mistral 7B Instruct V0.3 GPTQ 4B (cortecs/Mistral-7B-Instruct-v0.3-GPTQ-4b)

Best Alternatives to Mistral 7B Instruct V0.3 GPTQ 4B

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Context / RAM
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Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB46032250
Mistral 7B Instruct V0.1 GPTQ32K / 4.2 GB113382577
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB74050
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB375215
...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB151
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB60
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB50
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB160
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB21
Breeze 7B Instruct V0.1 GPTQ32K / 4.7 GB62
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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