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Mistral Turkish V2 by notbdq

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  4bit   Autotrain compatible   Conversational Dataset:merve/turkish instruct...   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Mistral Turkish V2 Benchmarks

LLME Score: 0.22715
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Turkish V2 Parameters and Internals

LLM NameMistral Turkish V2
Repository 🤗https://huggingface.co/notbdq/mistral-turkish-v2 
Base Model(s)  Mistral Turkish   notbdq/mistral-turkish
Model Size7b
Required VRAM14.4 GB
Updated2024-10-12
Maintainernotbdq
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Mistral Turkish V2 (notbdq/mistral-turkish-v2)

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Note: green Score (e.g. "73.2") means that the model is better than notbdq/mistral-turkish-v2.

Rank the Mistral Turkish V2 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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Release v2024072803
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