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Mistral 7B Instruct V0.3 GPTQ by thesven

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

Mistral 7B Instruct V0.3 GPTQ Benchmarks

LLME Score: 0.32234
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 Parameters and Internals

LLM NameMistral 7B Instruct V0.3 GPTQ
Repository 🤗https://huggingface.co/thesven/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
Updated2024-09-07
Maintainerthesven
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16
Mistral 7B Instruct V0.3 GPTQ (thesven/Mistral-7B-Instruct-v0.3-GPTQ)

Best Alternatives to Mistral 7B Instruct V0.3 GPTQ

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...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB16618811
...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB22761
Mistral 7B Instruct V0.1 GPTQ32K / 4.2 GB33303975
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB3025945
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB360
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB60
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB60
...stral 7B Instruct V0.3 GPTQ 4B32K / 4.2 GB50
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB101
Breeze 7B Instruct V0.1 GPTQ32K / 4.7 GB152
Note: green Score (e.g. "73.2") means that the model is better than thesven/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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Release v2024072803
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