Tamil Mistral 7B Instruct V0.1 by Hemanth-thunder

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  Autotrain compatible Base model:hemanth-thunder/tam... Base model:quantized:hemanth-t...   Chatml Dataset:hemanth-thunder/tamil-...   Distillation   Dpo   Endpoints compatible   Finetuned   Function calling   Gguf   Gpt4   Instruct   Json mode   Mistral   Quantized   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Ta   Tensorflow

Tamil Mistral 7B Instruct V0.1 Benchmarks

Tamil Mistral 7B Instruct V0.1 Parameters and Internals

LLM NameTamil Mistral 7B Instruct V0.1
Repository ๐Ÿค—https://huggingface.co/Hemanth-thunder/Tamil-Mistral-7B-Instruct-v0.1 
Base Model(s)  Hemanth-thunder/Tamil-Mistral-7B-v0.1   Hemanth-thunder/Tamil-Mistral-7B-v0.1
Model Size7b
Required VRAM14.8 GB
Updated2024-10-18
MaintainerHemanth-thunder
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   4.9 GB: 3-of-3   4.5 GB   5.2 GB
Supported Languagesta
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size50622
Torch Data Typefloat16
Tamil Mistral 7B Instruct V0.1 (Hemanth-thunder/Tamil-Mistral-7B-Instruct-v0.1)

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Note: green Score (e.g. "73.2") means that the model is better than Hemanth-thunder/Tamil-Mistral-7B-Instruct-v0.1.

Rank the Tamil Mistral 7B Instruct V0.1 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 v2024072803