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Mistral PPP GGUF by tas444

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Base model:quantized:unsloth/m...   Base model:unsloth/mistral-7b   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Unsloth

Mistral PPP GGUF Benchmarks

LLME Score: 0.19647
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral PPP GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
Training Details 
Methodology:
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameMistral PPP GGUF
Repository 🤗https://huggingface.co/tas444/mistral-PPP-GGUF 
Base Model(s)  Mistral 7B   unsloth/mistral-7b
Model Size7b
Required VRAM4.4 GB
Updated2024-11-21
Maintainertas444
Model Typemistral
Model Files  4.4 GB   5.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Mistral PPP GGUF (tas444/mistral-PPP-GGUF)

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Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB188922511
Qwen2 7B Instruct V0.1 GGUF0K / 4.5 GB97140
Qwen2 7B Instruct V0.7 GGUF0K / 4.5 GB95300
Note: green Score (e.g. "73.2") means that the model is better than tas444/mistral-PPP-GGUF.

Rank the Mistral PPP GGUF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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