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Candle Tiny Mistral by DanielClough

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  Autotrain compatible Dataset:openaccess-ai-collecti...   En   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_tiny-mistral 

Candle Tiny Mistral Benchmarks

LLME Score: 0.14174
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Candle Tiny Mistral (DanielClough/Candle_tiny-mistral)
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Candle Tiny Mistral Parameters and Internals

Model Type 
text-generation
Additional Notes 
This repo includes `.gguf` built for HuggingFace/Candle and will not work with `llama.cpp`.
Supported Languages 
languages_supported (en), proficiency_level ()
LLM NameCandle Tiny Mistral
Repository 🤗https://huggingface.co/DanielClough/Candle_tiny-mistral 
Required VRAM0.4 GB
Updated2025-07-31
MaintainerDanielClough
Model Typemistral
Model Files  0.4 GB   0.1 GB   0.1 GB   0.1 GB   0.1 GB   0.1 GB   0.1 GB   0.2 GB   0.1 GB   0.2 GB   0.2 GB   0.2 GB   0.2 GB   0.4 GB: 1-of-1
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_tiny-mistral.

Rank the Candle Tiny Mistral 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 v20241124
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